Sector público

Data reuse continues to grow in Spain, as confirmed by the last report of the Multisectorial Association of Information (ASEDIE), which analyses and describes the situation of the infomediary sector in the country. The document, now in its 13th edition, was presented last Friday, 4 April, at an event highlighting the rise of the data economy in the current landscape.

The following are the main key points of the report.

An overall profit of 146 million euros in 2023

Since 2013, ASEDIE's Infomediary sector report has been continuously monitoring this sector, made up of companies and organisations that reuse data - generally from the public sector, but also from private sources - to generate value-added products or services.  Under the title "Data Economy in its infomediary scope", this year's report underlines the importance of public-private partnerships in driving the data economy and presents relevant data on the current state of the sector.

It should be noted that the financial information used for sales and employees corresponds to the financial year 2023, as financial information for the year 2024 was not yet available at the time of reporting. The main conclusions are:

• Since the first edition of the report, the number of infomediaries identified has risen from 444 to 757, an increase of 70%. This growth reflects its dynamism, with annual peaks and troughs, showing a positive evolution that consolidates its recovery after the pandemic, although there is still room for development.
• The sector is present in all the country's Autonomous Communities, including the Autonomous City of Melilla. The Community of Madrid leads the ranking with 38% of infomediaries, followed by Catalonia, Andalusia and the Community of Valencia, which represent 15%, 11% and 9%, respectively. The remaining 27% is distributed among the other autonomous communities.
• 75% of infomediary companies operate in the sub-sectors of geographic information, market, economic and financial studies, and infomediation informatics (focused on the development of technological solutions for the management, analysis, processing and visualisation of data).
• The infomediary sector shows a growth and consolidation trend, with 66% of companies operating for less than 20 years. Of this group, 32% are between 11 and 20 years old, while 34% are less than a decade old. Furthermore, the increase in companies between 11 and 40 years old indicates that more companies have managed to sustain themselves over time.
• In terms of sales, the estimated volume amounts to 2,646 million euros and the evolution of average sales increases by 10.4%.  The average turnover per company is over 4.4 million euros, while the median is 442,000 euros. Compared to the previous year, the average has increased by 200,000 euros, while the median has decreased by 30,000 euros.
• It is estimated that the infomediary sector employs some 24,620 people, 64% of whom are concentrated in three sub-sectors. These figures represent a growth of 6% over the previous year. Although the overall average is 39 employees per company, the median per sub-sector is no more than 6, indicating that much of the employment is concentrated in a small number of large companies. The average turnover per employee was 108,000 euros this year, an increase of 8% compared to the previous year.
• The subscribed capital of the sector amounts to EUR 252 million. This represents an increase of 6%, which breaks the negative trend of recent years.
• 74% of the companies have reported profits. The aggregate net profit of the 539 companies for which data is available exceeded 145 million euros.

The following visual summarises some of this data:

Figure 1. Source: Asedie Infomediary Sector Report. "Data Economy in its infomediary scope" (2025).

Significant advances in the ASEDIE Top 10

The Asedie Top 10 aims to identify and promote the openness of selected datasets for reuse. This initiative seeks to foster collaboration between the public and private sectors, facilitating access to information that can generate significant economic and social benefits. Its development has taken place in three phases, each focusing on different datasets, the evolution of which has been analysed in this report:.

• Phase 1 (2019), which promoted the opening of databases of associations, cooperatives and foundations. Currently, 16 Autonomous Communities allow access to the three databases and 11 already offer NIF data.  There is a lack of access to cooperatives in a community.
• Phase 2 (2020), focusing on datasets related to energy efficiency certificates, SAT registers and industrial estates. All communities have made energy efficiency data available to citizens, but one is missing in industrial parks and three in SAT registers.
• Phase 3 (2023), focusing on datasets of economic agents, education centres, health centres and ERES-ERTES (Expediente de Regulación de Empleo y Expediente de Regulación Temporal de Empleo). Progress has been made compared to last year, but work is ongoing to achieve greater uniformity of information.

New success stories and best practices

The report concludes with a section compiling several success stories of products and services developed with public information and contributing to the growth of our economy, for example:

• Energy Efficiency Improvement Calculator: allows to identify the necessary interventions and estimate the associated costs and the impact on the energy efficiency certification (EEC).
• GEOPUBLIC: is a tool designed to help Public Administrations better understand their territory. It allows for an analysis of strengths, opportunities and challenges in comparison with other similar regions, provinces or municipalities. Thanks to its ability to segment business and socio-demographic data at different scales, it facilitates the monitoring of the life cycle of enterprises and their influence on the local economy.
• New website of the DBK sectoral observatory: improves the search for sectoral information, thanks to the continuous monitoring of some 600 Spanish and Portuguese sectors. Every year it publishes more than 300 in-depth reports and 1,000 sectoral information sheets.
• Data assignment and repair service: facilitates the updating of information on the customers of electricity retailers by allowing this information to be enriched with the cadastral reference associated with the supply point. This complies with a requirement of the State Tax Administration Agency (AEAT).

The report also includes good practices of public administrations such as:

• The Callejero Digital de Andalucía Unificado (CDAU), which centralises, standardises and keeps the region's geographical and postal data up to date.
• The Geoportal of the Madrid City Council, which integrates metadata, OGC map services, a map viewer and a geolocator that respect the INSPIRE and LISIGE directives. It is easy to use for both professionals and citizens thanks to its intuitive and accessible interface.
• The Canary Statistics Institute (ISTAC), which has made an innovative technological ecosystem available to society. It features eDatos, an open source infrastructure for statistical data management ensuring transparency and interoperability.
• The Spanish National Forest Inventory (IFN) and its web application Download IFN, a basic resource for forest management, research and education. Allows easy filtering of plots for downloading.
• The Statistical Interoperability Node, which provides legal, organisational, semantic and technical coverage for the integration of the different information systems of the different levels of administrative management.
• The Open Cohesion School, an innovative educational programme of the Generalitat de Catalunya aimed at secondary school students. Students investigate publicly funded projects to analyse their impact, while developing digital skills, critical thinking and civic engagement.
• The National Publicity System for Public Subsidies and Grants, which has unveiled a completely redesigned website. It has improved its functionality with API-REST queries and downloads. More information here.

In conclusion, the infomediary sector in Spain consolidifies itself as a key driver for the economy, showing a solid evolution and steady growth. With a record number of companies and a turnover exceeding 2.6 billion euros in 2023, the sector not only generates employment, but also positions itself as a benchmark for innovation. Information as a strategic resource drives a more efficient and connected economic future. Its proper use, always from an ethical perspective, promises to continue to be a source of progress both nationally and internationally.

Open data portals help municipalities to offer structured and transparent access to the data they generate in the exercise of their functions and in the provision of the services they are responsible for, while also fostering the creation of applications, services and solutions that generate value for citizens, businesses and public administrations themselves. 

The report aims to provide a practical guide for municipal administrations to design, develop and maintain effective open data portals, integrating them into the overall smart city strategy. The document is structured in several sections ranging from strategic planning to technical and operational recommendations necessary for the creation and maintenance of open data portals. Some of the main keys are: 

Fundamental principles 

The report highlights the importance of integrating open data portals into municipal strategic plans, aligning portal objectives with local priorities and citizens' expectations. It also recommends drawing up a Plan of measures for the promotion of openness and re-use of data (RISP Plan in Spanish acronyms), including governance models, clear licences, an open data agenda and actions to stimulate re-use of data. Finally, it emphasises the need for trained staff in strategic, technical and functional areas, capable of managing, maintaining and promoting the reuse of open data. 

General requirements 

In terms of general requirements to ensure the success of the portal, the importance of offering quality data, consistent and updated in open formats such as CSV and JSON, but also in XLS, favouring interoperability with national and international platforms through open standards such as DCAT-AP, and guaranteeing effective accessibility of the portal through an intuitive and inclusive design, adapted to different devices. It also points out the obligation to strictly comply with privacy and data protection regulations, especially the General Data Protection Regulation (GDPR). 

To promote re-use, the report advises fostering dynamic ecosystems through community events such as hackathons and workshops, highlighting successful examples of practical application of open data. Furthermore, it insists on the need to provide useful tools such as APIs for dynamic queries, interactive data visualisations and full documentation, as well as to implement sustainable funding and maintenance mechanisms. 

Technical and functional guidelines 

Regarding technical and functional guidelines, the document details the importance of building a robust and scalable technical infrastructure based on cloud technologies, using diverse storage systems such as relational databases, NoSQL and specific solutions for time series or geospatial data. It also highlights the importance of integrating advanced automation tools to ensure consistent data quality and recommends specific solutions to manage real-time data from the Internet of Things (IoT). 

In relation to the usability and structure of the portal, the importance of a user-centred design is emphasised, with clear navigation and a powerful search engine to facilitate quick access to data. Furthermore, it stresses the importance of complying with international accessibility standards and providing tools that simplify interaction with data, including clear graphical displays and efficient technical support mechanisms. 

The report also highlights the key role of APIs as fundamental tools to facilitate automated and dynamic access to portal data, offering granular queries, clear documentation, robust security mechanisms and reusable standard formats. It also suggests a variety of tools and technical frameworks to implement these APIs efficiently. 

Another critical aspect highlighted in the document is the identification and prioritisation of datasets for publication, as the progressive planning of data openness allows adjusting technical and organisational processes in an agile way, starting with the data of greatest strategic relevance and citizen demand. 

Finally, the guide recommends establishing a system of metrics and indicators according to the UNE 178301:2015 standard to assess the degree of maturity and the real impact of open data portals. These metrics span strategic, legal, organisational, technical, economic and social domains, providing a holistic approach to measure both the effectiveness of data publication and its tangible impact on society and the local economy. 

Conclusions 

In conclusion, the report provides a strategic, technical and practical framework that serves as a reference for the deployment of municipal open data portals for cities to maximise their potential as drivers of economic and social development. In addition, the integration of artificial intelligence at various points in open data portal projects represents a strategic opportunity to expand their capabilities and generate a greater impact on citizens. 

You can read the full report here.

Today, transparency, innovation and economic development are key to the progress of public institutions. In this context, the Cabildo of Tenerife has undertaken an ambitious open data project that goes beyond the mere publication of information. The aim of this strategy is to ffacilitate access to information, encourage the reuse of data and generate social and economic value for the island.

Through its open data portal, the Cabildo not only promotes transparency and accountability, but also drives innovation in areas as diverse as tourism, transport and the rural environment.

Scope and objectives of the project

The open data portal of the Cabildo de Tenerife publishes datasets of the entire public sector of the island, including all the local councils of the island. In particular, this includes municipalities with less than 20,000 inhabitants, as established in Law 8/2015 on Island Councils. The main objectives of this project are:

• Strengthen the internal and external culture of data use.
• Increase transparency and accountability through data.
• Generate wealth in society through the reuse of information.

In this website you can find open datasets on tourism, transport, culture and leisure and rural environment, among others. In order to offer this information the Cabildo of Tenerife benefits from the collaboration of various bodies such as:

• Transportes Interurbanos de Tenerife (TITSA)
• Tenerife Island Water Board (CIATF)
• Metropolitan of Tenerife
• SINPROMI (Insular Society for the Promotion of People with Disabilities)
• ITER (Technological Institute of Renewable Energies)
• IASS (Insular Institute for Social and Socio-sanitary Care)
• Agrocabildo

Most downloaded and significant datasets

Some of the portal's most downloaded and significant datasets include:

• Network of weather stations, with updates every 10 minutes.
• Influx of recreational areas, such as Punta Teno and Barranco de Masca, with information on the number of vehicles and people, and the itineraries of trails or routes on the island.
• Indicators of economic development and tourist occupancy, including the number of tourists accommodated by category and area.
• Prices of fruit and vegetable products in Mercatenerife.
• Public transport Origin Destination Matrix, which shows the relationships between the places of origin and destination of journeys made on the island.

The Cabildo's open data project is clearly oriented towards compliance with the Technical Interoperability Standard (NTI) for the Reuse of Information Resources and the DCAT-AP model, areas in which it continues to make progress.

Use cases and applications to incentivise reuse

Beyond publishing open datasets, the Cabildo de Tenerife actively promotes their use through the development of use cases and applications. Examples of this work include:

• Development of a urban development plan in the municipality of Santiago del Teide through the reuse of various datasets.
• Project on meteorological data forecasting.
• Tourist places and traffic scorecards. Specifically:
  
  • On tourism: tourist accommodation places by municipality and type, and the occupancy rate by type of accommodation from 1978 to 2023.
  • About traffic: dashboard from Power BI showing the average daily traffic intensity at a station on the island for the years 2021, 2022 and 2023.

On the other hand, in order to promote the reuse of the data on its portal, the Cabildo of Tenerife organises various activities, such as the I Ideas Reuse Competition, in which 25 proposals were received. This competition will be followed by a second edition that will reward the development of applications.

In addition, there are talks and webinars, such as the one organised in collaboration with the Chair of Big Data, Open Data and Blockchain of the University of La Laguna on how to use open data from Tenerife to drive innovation , which you can see again here.

Next steps AI and community building

In order to measure the impact of open data, the Cabildo de Tenerife uses tools such as Google Analytics which allows the analysis of user interaction with the available data. The next big step, as reported by the organisation, will be to implement a virtual assistant with generative AI that will allow:

• Analysing data with natural language.
• Discover trends and correlations.
• Bringing information closer to any citizen.

In parallel, the Cabildo of Tenerife will also continue working on new avenues of collaboration with the island's municipalities and other entities, with the aim of expanding the amount and variety of open data available to citizens.

From datos.gob.es, we encourage development and research professionals, students and citizens to explore, reuse and create value with Tenerife's data.

Visit datos.tenerife.es

There is no doubt that artificial intelligence has become a fundamental pillar of technological innovation.  Today, artificial intelligence (AI) can create chatbots specialised in open data, applications that facilitate professional work and even a digital Earth model to anticipate natural disasters.

The possibilities are endless, however, the future of AI also has challenges to overcome to make models more inclusive, accessible and transparent. In this respect, the European Union is developing various initiatives to make progress in this field.

European regulatory framework for a more open and transparent AI.

The EU's approach to AI seeks to give citizens the confidence to adopt these technologies and to encourage businesses to develop them. To this end, the European AI Regulation sets out guidelines for the development of artificial intelligence in line with European values of privacy, security and cultural diversity. On the other hand, the Data Governance Regulation (DGA) defines that broad access to data must be guaranteed without compromising intellectual property rights, privacy and fairness.

Together with the Artificial Intelligence Act, the update of the Coordinated Plan on AI ensures the security and fundamental rights of individuals and businesses, while strengthening investment and innovation in all EU countries. The Commission has also launched an Artificial Intelligence Innovation Package to help European start-ups and SMEs develop reliable AI that respects EU values and standards.

Other institutions are also working on boosting intelligence by pushing open source AI models as a very interesting solution. A recent report by Open Future and Open Source Initiative (OSI) defines what data governance should look like in open source AI models. One of the challenges highlighted in the report is precisely to strike a balance between open data and data rights, to achieve more transparency and to avoid cultural bias. In fact, experts in the field Ricard Martínez and Carmen Torrijos debated this issue in the pódcast of datos.gob.es.

The OpenEuroLLM project

With the aim of solving potential challenges and as an innovative and open solution, the European Union, through the Digital Europe programme has presented  through this open source artificial intelligence project it is expected to create efficient, transparent language models aligned with European AI regulations.

The OpenEuroLLM project has as its main goal the development of state-of-the-art language models for a wide variety of public and private applications. Among the most important objectives, we can mention the following:

1. Extend the multilingual capabilities of existing models: this includes not only the official languages of the European Union, but also other languages that are of social and economic interest. Europe is a continent rich in linguistic diversity, and the project seeks to reflect this diversity in AI models.
2. Sustainable access to fundamental models: lthe models developed within the project will be easy to access and ready to be adjusted to various applications. This will not only benefit large enterprises, but also small and medium-sized enterprises (SMEs) that wish to integrate AI into their processes without facing technological barriers.
3. Evaluation of results and alignment with European regulations: models will be evaluated according to rigorous safety standards and alignment with the European AI Regulation and other European regulatory frameworks. This will ensure that AI solutions are safe and respect fundamental rights.
4. Transparency and accessibility: One of the premises of the project is to openly share the tools, processes and intermediate results of the training processes. This will allow other researchers and developers to reproduce, improve and adapt the models for their own purposes.
5. Community building: OpenEuroLLM is not limited to modelling but also aims to build an active and engaged community, both in the public and private sector, that can collaborate, share knowledge and work together to advance AI research.

The OpenEuroLLM Consortium: a collaborative and multinational project

The OpenEuroLLM project is being developed by a consortium of 20 European research institutions , technology companies and supercomputing centres, under the coordination of Charles University (Czech Republic) and the collaboration of Silo GenAI (Finland). The consortium brings together some of the leading institutions and companies in the field of artificial intelligence in Europe, creating a multinational collaboration to develop open source language models.

The main institutions participating in the project include renowned universities such as University of Helsinki (Finland) and University of Oslo (Norway), as well as technology companies such as Aleph Alpha Research (Germany) or the company from Elche prompsit (Spain), among others. In addition, supercomputing centres such as the Barcelona Supercomputing Center (Spain) or SURF (The Netherlands) provide the infrastructure needed to train large-scale models.

Linguistic diversity, transparency and compliance with EU standards

One of the biggest challenges of globalised artificial intelligence is the inclusion of multiple languages and the preservation of cultural differences. Europe, with its vast linguistic diversity, presents a unique environment in which to address these issues. OpenEuroLLM is committed to preserving this diversity and ensuring that the AI models developed are sensitive to the linguistic and cultural variations of the region.

As we saw at the beginning of this post, technological development must go hand in hand with ethical and responsible values. In this respect, one of the key features of the OpenEuroLLM project is its focus on transparency. Models, data, documentation, training code and evaluation metrics will be fully available to the public. This will allow researchers and developers to audit, modify and improve the models, ensuring an open and collaborative approach.

In addition, the project is aligned with strict European AI regulations. OpenEuroLLM is designed to comply with the EU's AI Law , which sets stringent criteria to ensure safety, fairness and privacy in artificial intelligence systems.

Democratising access to AI

One of the most important achievements of OpenEuroLLLM is the democratisation of access to high-performance AI. Open source models will enable businesses, academic institutions and public sector organisations across Europe to have access to cutting-edge technology, regardless of their size or budget.

This is especially relevant for small and medium-sized enterprises (SMEs), which often face difficulties in accessing AI solutions due to high licensing costs or technological barriers. OpenEuroLLM will remove these barriers and enable companies to develop innovative products and services using AI, which will contribute to Europe's economic growth.

The OpenEuroLLM project is also an EU commitment to digital sovereignty that is strategically investing in the development of technological infrastructure that reduces dependence on global players and strengthens European competitiveness in the field of artificial intelligence. This is an important step towards artificial intelligence that is not only more advanced, but also fairer, safer and more responsible.

Although local governments are the closest actors to citizens, they often face limitations in terms of resources and capacities to implement open data effectively. The diputations, as intermediate institutions between central government and municipalities, play a key role in coordinating, supporting and facilitating open data at the local level.

In this article, we will explore the work of the Diputaciones in this area, showing some examples.

Why is it important for local authorities to commit to open data?

Local open data is of great importance to citizens because of its high granularity. These data provide information on specific settings, which gives a detailed picture of the situation of citizens in that area and shows disparities between municipalities.

This offers multiple advantages. On the one hand, public administrationscan develop better policies and manage resources more efficiently. On the other hand, businesses, researchers and entrepreneurshave the opportunity to develop new, more customised solutions based on the needs of each location. It also improves transparency and accountability, fostering trust in local institutions, and facilitates citizen participationby giving residents access to key data about their municipalities, which can contribute to more active and informed decision-making.

Challenges for local authorities in opening up their data

Despite the advantages, local authorities face a number of challenges in trying to make their data available to citizens, many of which are related to resource constraints and technical capacity:

• Lack of technical and human resources: Many municipalities, especially small and medium-sized ones, do not have the trained staff and resources to manage and publish open data. Lack of IT and data management expertise can hinder the implementation of open data initiatives.
• Inadequate infrastructure: Open data requires adequate technological infrastructure, such as platforms and storage systems to host data in an accessible and secure way.
• Awareness and resistance to change: In some municipalities, both policy makers and public employees may not fully understand the benefits of open data, leading to resistance to change.
• Data quality and standardisation issues: Municipal data are often scattered across different systems and formats, which can make standardisation and validation difficult. Ensuring that data is correct, up to date and in reusable formats is a major technical challenge.
• Cost of implementing, maintaining and updating data: Opening up data involves not only having the right infrastructure and staff, but also investing in platforms, software and other tools needed to make the information accessible to the public, which can be a barrier for municipalities with tight budgets. Moreover, once data is available to the public, it is necessary to keep it up to date and ensure that it remains relevant, which is a constant effort.

How can county councils help local authorities to overcome these challenges?

The Diputaciones are supra-municipal entities whose functions include legal, economic and technical assistance and cooperation to the municipalities in their province, especially those of smaller size or fewer resources. Among other things, they offer support in technological and managerial matters, for example in administrative tasks, the provision of public services or economic development.

In the context of open data, local councils can act as "facilitators" of open data at local level, through different actions:

1. Technical advice and training

The Diputaciones offer training to municipalities so that municipal employees can learn how to manage and open data. This is something that the Diputación de Salamanca, for example, has done with this course, whose objectives included raising participants' awareness of the importance of open data as a means to enhance citizen participation, helping them to understand technical issues in order to boost the degree of openness of institutions.

The Diputación de Castellón, for its part, provides support to small municipalities in opening their data, offering support materials related to open data. Another example is the Provincial Council of Albacete, which provides technical assistance, monitoring and support to its 87 municipalities through the Provincial Sustainability Observatory of Albacete (OPSA), an entity in collaboration with the University of Castilla-La Mancha. To this end, it offers sustainability reports (with 25 indicators), monitors its localization plans and emission studies, offers training and guides related to the sustainability of its municipalities related to open data, etc. 

2. Technological infrastructure

Some councils provide digital platforms and tools for municipalities to upload and share data in a simple way. This includes hosting open data portals or analysis and visualisation tools.

This is the case of the Diputación de Bizkaia, whose scope affects the foral public sector (Foral Entities) and the Local Entities of Bizkaia. Through the BiscayTIK foundation, municipalities can join the Open Data Bizkaia portal so that their data can appear on this portal. In addition, a customised view is generated that can be embedded in the municipality's own website, in case they want to have their own open data portal.

Another example is the Diputación de Córdoba. Its provincial strategy consists of unifying efforts and making a common platform for all municipalities, through automated processes of extraction and processing of structured information for publication, without the need for manual dedication on the part of staff. Through the Enlaza project, the platform receives and monitors information obtained both from citizens and from the sensors and systems of the multiple municipal services, and then carries out a cross analysis of the data. With this service, all the town councils in the province of Cordoba can have a homogeneous catalogue of open data with automated loading, which in turn is federated with datos.gob.es, saving this procedure for smaller administrations.

The Diputación de Albacete, for its part, has a platform with an open data exhibition of the panel of local indicators of the province (48 sub-indicators with a historical series of +15 years). The standardization of open data facilitates municipal and provincial analysis, allowing the comparison of municipalities with graphical and georeferenced output. Includes download space with user registration.

Thanks to these actions double efforts and duplication of uploading of information on various platforms are avoided. In addition, the standardisation of open data facilitates regional analysis and comparison between municipalities, generating new opportunities for innovation and improvement in the quality of life of citizens.

3. Grants or funding

Sometimes, the local councils allocate financial resources so that small municipalities can implement open data projects. An example of this is the Diputación de Valencia, whose functions include fostering and developing the right of access to information, as well as promoting the re-use of public data. To this end, in 2024, it launched a series of aids.

In this line the Diputación de Albacete has an annual aid or call for municipalities to implement their Agendas 2030 or projects related to sustainability and included in their plans. For example, in February 2025 the call was published with a budget of € 325,000.

4. Awareness-raising and reuse promotion actions

Another area where county councils can help is the promotion of favourable frameworks for data re-use. The Diputación de Castellón, for example, maintains a close relationship with civil society organisations and universities to meet their data demands. With the collaboration of the Diputación de Barcelona and the Government of Aragón, organised in 2024 the III National Open Data Meeting, where the importance of open data as a resource for understanding and achieving interesting and sustainable tourism was disseminated.

For its part, the Diputación de Bizkaia is launching competitions such as the Open Data & Artificial Intelligence Challenge, aimed at identifying initiatives that combine the reuse of data available on the Open Data Bizkaia portal with the use of this disruptive technology in various sectors.

In conclusion, the collaboration between councils and municipalities makes it possible to generate greater cohesion in the opening of data throughout the territory, ensuring that all municipalities, regardless of their size or resources, have access to the necessary tools and knowledge. However, local councils also have their technical and resource limitations, so this is an area where further progress needs to be made, with a focus on raising awareness of the benefits of open data and collaboration between institutions.

There is no doubt that digital skills training is necessary today. Basic digital skills are essential to be able to interact in a society where technology already plays a cross-cutting role. In particular, it is important to know the basics of the technology for working with data.

In this context, public sector workers must also keep themselves constantly updated. Training in this area is key to optimising processes, ensuring information security and strengthening trust in institutions.

In this post, we identify digital skills related to open data aimed at both publishing and using open data. Not only did we identify the professional competencies that public employees working with open data must have and maintain, we also compiled a series of training resources that are available to them.

Professional competencies for working with data

A working group was set up in 2024 National Open Data Gathering with one objective: to identify the digital competencies required of public administration professionals working with open data. Beyond conclusions of this event of national relevance, the working group defined profiles and roles needed for data opening, gathering information on their roles and the skills and knowledge required. The main roles identified were:

• Role responsible: has technical responsibility for the promotion of open data policies and organises activities to define policies and data models. Some of the skills required are:
  
  • Leadership in promoting strategies to drive data openness.
  • Driving the data strategy to drive openness with purpose.
  • Understand the regulatory framework related to data in order to act within the law throughout the data lifecycle.
  • Encourage the use of tools and processes for data management.
  • Ability to generate synergies in order to reach a consensus on cross-cutting instructions for the entire organisation.
• Technical role of data entry technician (ICT profile): carries out implementation activities more closely linked to the management of systems, extraction processes, data cleansing, etc. EThis profile must have knowledge of, for example:
  
  • How to structure the dataset, the metadata vocabulary, data quality, strategy to follow...
  • Be able to analyse a dataset and identify debugging and cleaning processes quickly and intuitively.
  • Generate data visualisations, connecting databases of different formats and origins to obtain dynamic and interactive graphs, indicators and maps.
  • Master the functionalities of the platform, i.e. know how to apply technological solutions for open data management or know techniques and strategies to access, extract and integrate data from different platforms.
• Open data functional role (technician of a service): executes activities more related to the selection of data to be published, quality, promotion of open data, visualisation, data analytics, etc. For example:
  
  • Handling visualisation and dynamisation tools.
  • Knowing the data economy and knowing the information related to data in its full extent (generation by public administrations, open data, infomediaries, reuse of public information, Big Data, Data Driven, roles involved, etc.).
  • To know and apply the ethical and personal data protection aspects that apply to the opening of data.
• Data use by public workers: this profile carries out activities on the use of data for decision making, basic data analytics, among others. In order to do so, it must have these competences:
  
  • Navigation, search and filtering of data.
  • Data assessment.
  • Data storage and export
  • Data analysis and exploitation.

In addition, as part of this challenge to increase capacities for open data, a list of free trainings and guides on open data and data analyticswas developed. We compile some of them that are available online and in open format.

Figure 1. Table of own elaboration with training resources. Source: https://encuentrosdatosabiertos.es/wp-content/uploads/2024/05/Reto-2.pdf

INAP''s continuing professional development training offer

The Instituto Nacional de Administración Pública (INAP) has a Training Activities Programme for 2025, framed in the INAP Learning Strategy 2025-2028.. This training catalogue includes more than 180 activities organised in different learning programmes, which will take place throughout the year with the aim of strengthening the competences of public staff in key areas such as open data management and the use of related technologies.

INAP''s 2025 training programme offers a wide range of courses aimed at improving digital skills and open data literacy. Some of the highlighted trainings include:

• Fundamentals and tools of data analysis.
• Introduction to Oracle SQL.
• Open data and re-use of information.
• Data analysis and visualisation with Power BI.
• Blockchain: technical aspects.
• Advanced Python programming.

These courses, aimed at different profiles of public employees, from open data managers to information management technicians, allow to acquire knowledge on data extraction, processing and visualisation, as well as on strategies for the opening and reuse of open data in the Public Administration.  You can consult the full catalogue here..

Other training references

Some public administrations or entities offer training courses related to open data. For more information on its training offer, please see the catalogue with the programmed courses on offer.

• FEMP''s Network of Local Entities for Transparency and Citizen Participation: https://redtransparenciayparticipacion.es/.
• Government of Aragon: Aragon Open Data: https://opendata.aragon.es/informacion/eventos-de-datos-abiertos
• School of Public Administration of Catalonia (EAPC): https://eapc.gencat.cat/ca/inici/index.html#googtrans(ca|es
• Diputació de Barcelona: http://aplicacions.diba.cat/gestforma/public/cercador_baf_ens_locals
• Instituto Geográfico Nacional (IGN): https://cursos.cnig.es/

In short, training in digital skills, in general, and in open data, in particular, is a practice that we recommend at datos.gob.es. Do you need a specific training resource? Write to us in comments, we''ll read you!

The Sistema Nacional de Publicidad de Subvenciones y Ayudas Públicas (SNPSAP) is a tool that contributes to the transparency, dissemination and re-use of data related to public subsidies and grants. This system centralises all the information on calls for applications and concessions of subsidies and public aid approved by the General State Administration, the autonomous communities and local entities.

Origins of the project

We have to go back to 2014 to find the beginning of this project. That year saw a reform of the 2003 General Law on Subsidies (Law 38/2003) with a huge impact in two significant respects:

• On the one hand, the National Subsidies Database, which had been created by the aforementioned Law in 2003, became available for full consultation by the managing bodies of subsidies and grants of all public administrations and those others legally authorised.

• Moreover, the National System of Publicity of Public Subsidies and Grants was created as a public website, with free and unrestricted access for all citizens. This complied with the requirements of publicity and transparency of all public subsidies and aid granted in Spain, especially calls for applications and awards, with identification of the beneficiaries. This space began operating on 1 January 2015, offering data from the state administration. The following year it was extended to regional and local administrations, thus covering the entire spectrum of the public sector.

Initial data formats and functionalities

From its origin, there was a serious support for the re-use of data for the society that originates it. Already initially the website allowed  downloading of data in different formats (CSV, XLSX and PDF) that allow their reuse, although limiting the size of the downloads to 10,000 records for performance and technical capacity reasons.

In addition, a alert subscription mechanismwas available from the outset. A citizen or company could - and can - register as many alerts as they need so that the system automatically notifies them when any call of interest to them is published, sending them a link to it. The tedious need to consult the dozens of official newspapers published in Spain on a daily basis to find out about calls for grants and subsidies was thus eliminated at a stroke.

A project in constant evolution to cope with growth

Regulatory developments in the field of aid and subsidies in the European Union, and Spain's accession to the United Nations Open Government Partnership initiative, shaped the growth of the website in successive years, increasing the offer of specific data views (State aid and minimis, large beneficiaries, political parties, etc.), which made it easier for citizens and data reusers to access them.

At the dawn of the pandemic, the system was already supporting 1.3 million visits per year, serving 3.3 million pages of grants and calls for proposals. This posed a challenge in terms of performance, as volumes never foreseen in the initial technical designs were achieved. A deep technological reform was needed to support the high demand for information and service level.

The reform was approached not only from a technological point of view, but also taking into account:

• The new features established in the Royal Decree 130/2019 regulating the National Grants Database.
• The socially demanded need to enable a API-REST interface for downloading information in reusable JSON format to overcome technical limitations.

Characteristics of the current platform

The new website was put into production at the end of November 2023, offering multiple views of calls for proposals (520,000 as of December 2024), grants (27,700,000), State aid awards (5.000,000), grants of minimis (3,190,000), strategic grant plans (1,341), very serious infringements (4), grants to parties (7,580), and grants to large beneficiaries (145,000).

All this information is accessible today via screen, downloadable in PDF, CSV, XSLX and API-REST interface formats in JSON and XML, being freely reusable by infomediary companies and citizens, with no restrictions other than those established by law.

Figure 1. Capture of the website of the National System for the Publicity of Public Subsidies and Grants (SNPSAP).

Since it went into production 11 months ago, the new system has received 7.5 million visits from citizens and businesses. And through the API-REST interface, thousands of downloads are made daily, making a powerful contribution to the dissemination of "raw" subsidy information for reuse by society for all kinds of analyses, studies, etc. In addition, an average of 35,000 e-mail alerts are issued daily to citizens and companies to inform them of new calls for subsidies.

Advantages of SNPSAP

The social dissemination and reuse of all this information eliminates asymmetries and frictions in the markets, and allows operators and citizens to work more efficiently and productively, resulting in higher levels of welfare for society.

The publication of open data allows citizens and organisations not only to know how public funds are distributed, but also to identify new opportunities. This system ensures that all individuals and organisations have equal access to information, regardless of their size or resources, contributing to a more equitable distribution of public support.

The Data Governance Act (DGA) is part of a complex web of EU public policy and regulation, the ultimate goal of which is to create a dataset ecosystem that feeds the digital transformation of the Member States and the objectives of the European Digital Decade:

• A digitally empowered population and highly skilled digital professionals.
• Secure and sustainable digital infrastructures.
• Digital transformation of companies.
• Digitisation of public services.

Public opinion is focusing on artificial intelligence from the point of view of both the opportunities and, above all, the risks and uncertainties. However, the challenge is much more profound as it involves in each of the different layers very diverse technologies, products and services whose common element lies in the need to favour the availability of a high volume of reliable and quality-checked data to support their development.

Promoting the use of data with legislation as leverage

At its inception the Directive 2019/1024 on open data and re-use of public sector information (Open Data Directive), the Directive 95/46/EC on the processing of personal data and on the free movement of such data, and subsequently the Regulation 2016/679 known as the General Data Protection Regulation(GDPR) opted for the re-use of data with full guarantee of rights. However, its interpretation and application generated in practice an effect contrary to its original objectives, clearly swinging towards a restrictive model that may have affected the processes of data generation for its exploitation. The large US platforms, through a strategy of free services - search engines, mobile applications and social networks - in exchange for personal data and with mere consent, obtained the largest volume of personal data in human history, including images, voice and personality profiles.

With the GDPR, the EU wanted to eliminate 28 different ways of applying prohibitions and limitations to the use of data. Regulatory quality certainly improved, although perhaps the results achieved have not been as satisfactory as expected and this is indicated by documents such as the Digital Economy and Society Index (DESI) 2022 or the Draghi Report (The future of European competitiveness-Part A. A competitiveness strategy for Europe).

This has forced a process of legislative re-engineering that expressly and homogeneously defines the rules that make the objectives possible. The reform of the Open Data Directive, the DGA, the Artificial Intelligence Regulation and the future European Health Data Space (EHDS) should be read from at least two perspectives:

• The first of these is at a high level and its function is aimed at preserving our constitutional values. The regulation adopts an approach focused on risk and on guaranteeing the dignity and rights of individuals, seeking to avoid systemic risks to democracy and fundamental rights.
• The second is operational, focusing on safe and responsible product development. This strategy is based on the definition of process engineering rules for the design of products and services that make European products a global benchmark for robustness, safety and reliability.

A Practical Guide to the Data Governance Law

Data protection by design and by default, the analysis of risks to fundamental rights, the development process of high-risk artificial intelligence information systems validated by the corresponding bodies or the processes of access and reuse of health data are examples of the legal and technological engineering processes that will govern our digital development. These are not easy procedures to implement. The European Union is therefore making a significant effort to fund projects such as TEHDAS, EUHubs4Data or Quantum , which operate as a testing ground. In parallel, studies are carried out or guides are published, such as the Practical Guide to the Data Governance Law.

This Guide recalls the essential objectives of the DGA:

• Regulate the re-use of certain publicly owned data subject to the rights of third parties ("protected data", such as personal data or commercially confidential or proprietary data).
• Boost data sharing by regulating data brokering service providers.
• Encourage the exchange of data for altruistic purposes.
• Establish the European Data Innovation Board to facilitate the exchange of best practices.

The DGA promotes the secure re-use of data through various measures and safeguards. These focus on the re-use of data from public sector bodies, data brokering services and data sharing for altruistic purposes.

To which data does it apply? Legitimation for the processing of protected data held by public sector bodies

In the public sector they are protected:

• Confidential business data, such as trade secrets or know-how.
• Statistically confidential data.
• Data protected by the intellectual property rights of third parties.
• Personal data, insofar as such data do not fall within the scope of the Open Data Directive when irreversible anonymisation is ensured and no special categories of data are concerned.

An essential starting point should be underlined: as far as personal data are concerned, the General Data Protection Regulation (GDPR) and the rules on privacy and electronic communications (Directive 2002/58/EC) also apply. This implies that, in the event of a collision between them and the DGA, the former will prevail.

Moreover, the DGA does not create a right of re-use or a new legal basis within the meaning of the GDPR for the re-use of personal data. This means that Member State or Union law determines whether a specific database or register containing protected data is open for re-use in general. Where such re-use is permitted, it must be carried out in accordance with the conditions laid down in Chapter I of the DGA.

Finally, they are excluded from the scope of the DGA:

• Data held by public companies, museums, schools and universities.
• Data protected for reasons of public security, defence or national security.
• Data held by public sector bodies for purposes other than the performance of their defined public functions.
• Exchange of data between researchers for non-commercial scientific research purposes.

Conditions for re-use of data

It can be noted that in the area of re-use of public sector data:

▪ The DGA establishes rules for the re-use of protected data, such as personal data, confidential commercial data or statistically sensitive data.

▪ It does not create a general right of re-use, but establishes conditions where national or EU law allows such re-use.

▪ The conditions for access must be transparent, proportionate and objective, and must not be used to restrict competition. The rule mandates the promotion of data access for SMEs and start-ups, and scientific research. Exclusivity agreements for re-use are prohibited, except in specific cases of public interest and for a limited period of time.

▪ Attributes to public sector bodies the duty to ensure the preservation of the protected nature of the data. This will require the deployment of intermediation methodologies and technologies. Anonymisation and access through secure processing environments (Secure processing environments or SPE) can play a key role. The former is a risk elimination factor, while PES can define a processing ecosystem that provides a comprehensive service offering to re-users, from the cataloguing and preparation of datasets to their analysis. The Spanish Data Protection Agency has published an Approach to data spaces from a GDPR perspective that includes recommendations and methodologies in this area.

▪ Re-users are subject to obligations of confidentiality and non-identification of data subjects. In case of re-identification of personal data, the re-user must inform the public sector body and there may be security breach notification obligations.

▪ Insofar as the relationship is established directly between the re-user and the public sector body, there may be cases in which the latter must provide support to the former for the fulfilment of certain duties:

• To obtain, if necessary, the consent of the persons concerned for the processing of personal data.
• In case of unauthorised use of non-personal data, the re-user shall inform the legal entities concerned. The public sector body that initially granted the permission for re-use may provide support if necessary.

▪ International transfers of personal data are governed by the GDPR. For international transfers of non-personal data, the re-user is required to inform the public sector body and to contractually commit to ensure data protection. However, this is an open question, since, as with the GDPR, the European Commission has the power to:

1. Propose standard contractual clauses that public sector bodies can use in their transfer contracts with re-users.

2. Where a large number of requests for re-use from specific countries justify it, adopt "equivalence decisions" designating these third countries as providing a level of protection for trade secrets or intellectual property that can be considered equivalent to that provided for in the EU.

3. Adopt the conditions to be applied to transfers of highly sensitive non-personal data, such as health data. In cases where the transfer of such data to third countries poses a risk to EU public policy objectives (in this example, public health) and in order to assist public sector bodies granting permissions for re-use, the Commission will set additional conditions to be met before such data can be transferred to a third country.

▪ Public sector bodies may charge fees for allowing re-use. The DGA's strategy aims at sustainability of the system, as fees should only cover the costs of making data available for re-use, such as the costs of anonymisation or providing a secure processing environment. This would include the costs of processing requests for re-use. Member States must publish a description of the main cost categories and the rules used for their allocation.

▪ Natural or legal persons directly affected by a decision on re-use taken by a public sector body shall have the right to lodge a complaint or to seek a judicial remedy in the Member State of that public sector body.

Organisational support

It is entirely possible that public sector bodies offering intermediation services will multiply. This is a complex environment that will require technical and legal support, backstopping and coordination.

To this end, Member States should designate one or more competent bodies whose role is to support public sector bodies granting re-use. The competent bodies shall have adequate legal, financial, technical and human resources to carry out the tasks assigned to them, including the necessary expertise. They are not supervisory bodies, they do not exercise public powers and, as such, the DGA does not set specific requirements as to their status or legal form. In addition, the competent body may be given a mandate to allow re-use itself.

Finally, States must create a Single Point of Information or one-stop shop. This Point will be responsible for transmitting queries and requests to relevant public sector bodies and for maintaining an asset list with an overview of available data resources (metadata). The single information point may be linked to local, regional or sectoral information points where they exist. At EU level, the Commission created the European Register of Protected Data held by the Public Sector (ERPD), a searchable register of information collected by national single points of information to further facilitate the re-use of data in the internal market and beyond.

EU regulations are rules that are complex to implement. Therefore, a special pro-activity is required to contribute to its correct understanding and implementation. The EU Guide to the Deployment of the Data Governance Act is a first tool for this purpose and will allow a better understanding of the objectives and possibilities offered by the DGA.

This episode focuses on data governance and why it is important to have standards, policies and processes in place to ensure that data is correct, reliable, secure and useful. For this purpose, we analyze the Model Ordinance on Data Governance of the Spanish Federation of Municipalities and Provinces, known as the FEMP, and its application in a public body such as the City Council of Zaragoza. This will be done by the following guests:

• Roberto Magro Pedroviejo, Coordinator of the Open Data Working Group of the Network of Local Entities for Transparency and Citizen Participation of the Spanish Federation of Municipalities and Provinces and civil servant of the Alcobendas City Council.

• María Jesús Fernández Ruiz, Head of the Technical Office of Transparency and Open Government of Zaragoza City Council.

Listen to the full podcast (only available in Spanish)

Summary of the interview

1. What is data governance?

Roberto Magro Pedroviejo: We, in the field of Public Administrations, define data governance as an organisational and technical mechanism that comprehensively addresses issues related to the use of data in our organisation. It covers the entire data lifecycle, i.e. from creation to archiving or even, if necessary, purging and destruction. Its purpose is that data is of quality and available to all those who need it: sometimes it will be only the organisation itself internally, but many other times it will be the general public, re-users, the university environment, etc. Data governance must facilitate the right of access to data. In short, data governance makes it possible to respond to the objective of managing our administration effectively and efficiently and achieving greater interoperability between all administrations.

2. Why is this concept important for a municipality?

María Jesús Fernández Ruiz: Because we have found that, within organisations, both public and private, data collection and management is often carried out without following homogeneous criteria, standards or appropriate techniques. This translates into a difficult and costly situation, which is exacerbated when we try to develop a data space or develop data-related services. Therefore, we need an umbrella that obliges us to manage data, as Roberto has said, effectively and efficiently, following homogeneous standards and criteria, which facilitates interoperability.

3. To meet this challenge, it is necessary to establish a set of guidelines to help local administrations set up a legal framework. For this reason, the FEMP Model Ordinance on Data Governance has been created. What was the process of developing this reference document like?

Roberto Magro Pedroviejo: Within the Open Data Network Group that was created back in 2017, one of the people we have counted on and who has contributed a lot of ideas has been María Jesús, from Zaragoza City Council. We were leaving COVID, just in March 2021, and I remember perfectly the meeting we had in a room lent to us by the Madrid City Council in the Cibeles Palace. María Jesús was in Zaragoza and joined the meeting by videoconference. On that day, seeing what things and what work we could tackle within this multidisciplinary group, María Jesús proposed creating a model ordinance. The FEMP and the Network already had experience in creating model ordinances to try to improve, and above all help, municipalities and local entities or councils to create regulations.

We started working as a multidisciplinary team, led by José Félix Muñoz Soro, from the University of Zaragoza, who is the person who has coordinated the regulatory text that we have published. And a few months later, in January 2022 to be precise, we held a meeting. We met in person at the Zaragoza City Council and there we began to establish the basis for the model ordinance, what type of articles it should have, what type of structure it should have, etc. And we got together a multidisciplinary team, as we said, which included experts in data governance and jurists from the University of Zaragoza, staff from the Polytechnic University of Madrid, colleagues from the Polytechnic University of Valencia, professionals from the local public sphere and journalists who are experts in open data.

The first draft was published in May/June 2022. In addition, it was made available for public consultation through Zaragoza City Council's Citizen Participation platform. We contacted around 100 national experts and received around 30 contributions of improvements, most of which were included, and which allowed us to have the final text by the end of last year, which was passed to the legal department of the FEMP to validate it. The regulations were published in February 2024 and are now available on the Network's website for free download.

I would like to take this opportunity to thank the excellent work done by all the people involved in the team who, from their respective points of view, have worked selflessly to create this knowledge and share it with all the Spanish public administrations.

4. What are the expected benefits of the ordinance?

María Jesús Fernández Ruiz: For me, one of the main objectives of the ordinance, and I think it is a great instrument, is that it takes the whole life cycle of the data. It covers from the moment the data is generated, how the data is managed, how the data is provided, how the documentation associated with the data must be stored, how the historical data must be stored, etc. The most important thing is that it establishes criteria for managing the data while respecting its entire life cycle.

The ordinance also establishes some principles, which are not many, but which are very important and which set the tone, which speak, for example, of effective data governance and describe the importance of establishing processes when generating the data, managing the data, providing the data, etc.

Another very important principle, which has been mentioned by Roberto, is the ethical treatment of data. In other words, the importance of collecting data traceability, of seeing where the data is moving and of respecting the rights of natural and legal persons.

Another very important principle that generates a lot of noise in the institutions is that data must be managed from the design phase, the management of data by default. Often, when we start working on data with openness criteria, we are already in the middle or near the end of the data lifecycle. We have to design data management from the beginning, from the source. This saves us a lot of resources, both human and financial.

Another important issue for us and one that we advocate within the ordinance is that administration has to be data-oriented. It has to be an administration that is going to design its policies based on evidence. An administration that will consider data as a strategic asset and will therefore provide the necessary resources.

And another issue, which we often discuss with Roberto, is the importance of data culture. When we work on and publish data, data that is interoperable, that is easy to reuse, that is understood, etc., we cannot stop there, but we must talk about the data culture, which is also included in the ordinance. It is important that we disseminate what is data, what is quality data, how to access data, how to use data. In other words, every time we publish a dataset, we must consider actions related to data culture.

5. Zaragoza City Council has been a pioneer in the application of this ordinance. What has this implementation process been like and what challenges are you facing?

María Jesús Fernández Ruiz: This challenge has been very interesting and has also helped us to improve. It was very fast at the beginning and already in June we were going to present the ordinance to the city government. There is a process where the different parties make private votes on the ordinance and say "this point I like", "this point seems more interesting", "this one should be modified", etc. Our surprise is that we have had more than 50 private votes on the ordinance, after having gone through the public consultation process and having appeared in all the media, which was also enriching, and we have had to respond to these votes. The truth is that it has helped us to improve and, at the moment, we are waiting for it to go to government.

When they tell me how do you feel, María Jesús? The answer is well, we are making progress, because thanks to this ordinance, which is pending approval by the Zaragoza City Council government, we have already issued a series of contracts. One that is extremely important for us: to draw up an inventory of data and information sources in our institution, which we believe is the basic instrument for managing data, knowing what data we have, where they originate, what traceability they have, etc. Therefore, we have not stopped. Thanks to this framework that has not yet been approved, we have been able to make progress on the basis of contracts or something that is basic in an institution: the definition of the professionals who have to participate in data management.

6. You mentioned the need to develop an inventory of datasets and information sources, what kind of datasets are we talking about and what descriptive information should be included for each?

Roberto Magro Pedroviejo: There is a core, let's say a central core, with a series of datasets that we recommend in the ordinance itself, referring to other work done in the open data group, which is to recommend 80 datasets that we could publish in Spanish public administrations. The focus is also on high-value datasets, those that can most benefit municipal management or can benefit by providing social and economic value to the general public and to the business community and reusers. Any administration that wants to start working on the issue of datasets and wonders where to start publishing or managing data has to focus, in my view, on three key areas in a city:

• The personal data, i.e. our beloved census: who are the people living in our city, their ages, gender, postal addresses, etc.
• The urban and territorial data, that is, where these people live, what the territorial delimitation of the municipality is, etc. Everything that has to do with these sets of data related to streets, roads, even sewerage, public roads or lighting, needs to be inventoried, to know where these data are and to have them, as we have already said, updated, structured, accessible, etc.
• And finally, everything that has to do with how the city is managed, of course, with the tax and budget area.

That is: the personal sphere, the territorial sphere and the taxation sphere. That is what we recommend to start with. And in the end, this inventory of datasets describes what they are, where they are, how they are and will be the first basis on which to start building data governance.

María Jesús Fernández Ruiz: Another issue that is also very fundamental, which is included in the ordinance, is to define the master datasets. Just a little anecdote. When creating a spatial data space, the street map, the base cartography and the portal holder are basic. When we got together to work, a technical commission was set up and we considered these to be master datasets for Zaragoza City Council. The quality of the data is determined by a concept in the ordinance, which is respecting the sovereignty of the data: whoever creates the data is the sovereign of the data and is responsible for the quality of the data. Sovereignty must be respected and that determines quality.

We then discovered that, in Zaragoza City Council, we had five different portal identifiers. To improve this situation, we define a descriptive unique identifier which we declare as master data. In this way, all municipal entities will use the same identifier, the same street map, the same cartography, etc. and this will make all services related to the city interoperable.

7. What additional improvements do you think could be included in future revisions of the ordinance?

Roberto Magro Pedroviejo: The ordinance itself, being a regulatory instrument, is adapted to current Spanish and European regulations. In other words, we will have to be very vigilant -we are already - to everything that is being published on artificial intelligence, data spaces and open data. The ordinance will have to be adapted because it is a regulatory framework to comply with current legislation, but if that regulatory framework changes, we will make the appropriate modifications for compliance.

I would also like to highlight two things. There have been more town councils and a university, specifically the Town Council of San Feliu de Llobregat and the University of La Laguna, interested in the ordinance. We have received more requests to know a little more about the ordinance, but the bravest have been the Zaragoza City Council, who were the ones who proposed it and are the ones who are suffering the process of publication and final approval. From this experience that Zaragoza City Council itself is gaining, we will surely all learn, about how to tackle it in each of the administrations, because we copy each other and we can go faster. I believe that, little by little, once Zaragoza publishes the ordinance, other city councils and other institutions will join in. Firstly, because it helps to organise the inside of the house. Now that we are in a process of digital transformation that is not fast, but rather a long process, this type of ordinance will help us, above all, to organise the data we have in the administration. Data and the management of data governance will help us to improve public management within the organisation itself, but above all in terms of the services provided to citizens.

And the last thing I wanted to emphasise, which is also very important, is that, if the data is not of high quality, is not updated and is not metadata-driven, we will do little or nothing in the administration from the point of view of artificial intelligence, because artificial intelligence will be based on the data we have and if it is not correct or updated, the results and predictions that AI can make will be of no use to us in the public administration.

María Jesús Fernández Ruiz: What Roberto has just said about artificial intelligence and quality data is very important. And I would like to add two things that we are learning in implementing this ordinance. Firstly, the need to define processes, i.e. efficient data management has to be based on processes. And another thing that I think we should talk about, and we will talk about within the FEMP, is the importance of defining the roles of the different professionals involved in data management. We are talking about data manager, data provider, technology provider, etc. If I had the ordinance now, I would talk about that definition of the roles that have to be involved in efficient data management. That is, processes and professionals.

Interview clips

ASEDIE, Asociación Multisectorial de la Información, will hold its usual International Conference on the Reuse of Public Sector Information on December 12. This will be its 16th edition and the central theme is "ASEDIE, 25 years driving the data economy". The aim of the meeting is to address the progress made during this time, provide a snapshot of the current situation and discuss barriers and possible solutions for the re-use of public sector information.

When and where does it take place?

The event will be held in a face-to-face format on 12 December 2024 at the National Statistics Institute (INE), located at Avenida de Manoteras 52, in Madrid. Seating is limited, the reception will start at 9:00 and the event will end at 13:40. To attend the event you must register at this link..

What is the programme?

The focus of this edition will be on the reuse of public sector information and on commemorating the 25 years that the ASEDIE Association has been promoting the data economy in Spain.

The session will open at 9:30 a.m. with the inauguration of the event by the President of ASEDIE, Ignacio Jiménez and the President of INE, Elena Manzanera, to welcome the attendees.
The event will feature three round tables:

• The first round table will take place from 9:45 to 10:30 and will deal with 'Artificial Intelligence and data protection coexisting with reuse'. It will feature the participation of Miguel Valle del Olmo, Digital Transformation Advisor of the Permanent Representation of Spain to the European Union and Leonardo Cervera Navas, Secretary General of European Data Protection Supervisor; and will be moderated by Valentín Arce, Vice-president of ASEDIE.

At the end of this thematic block, the ASEDIE 2024 Award will be presented to recognize those individuals, companies or institutions that stand out for the best work or the greatest contribution to innovation and development of the Infomediary sector in the current year.

After a coffee break, the second round table will start at 11:30:

• This second roundtable under the title "Leadership in open data" will bring together leading figures from the public sector to highlight their coordinating role. The event will be attended by Carmen Cabanilla, Director General of Public Governance of the Secretary of State for Public Function; Ruth del Campo, General Data Director and Francisco Javier García Vieira, Director of RedIRIS and Digital Public Services of Red.es.. All this, moderated by Manuel Suarez, Member of the Board of Directors of ASEDIE.
• The third round table on "The reality of open data: quality, governance and access" will start at 12:30 and will be moderated by Carmen de Pablo, Professor at the Universidad Rey Juan Carlos. This round table will be attended by Fernando Serrano, Advisor to the General Directorate of Cadastre; Joseba Asiain, Director General of the Presidency, Open Government and Relations with the Parliament of the Government of Navarre and Ángela Perez, Director General of Transparency and Quality of the Madrid City Council.

Finally, the event will end with a brief closing speech by Ignacio Jiménez, president of ASEDIE.

You can consult the complete program here.

How can I register?

Attendance is in person with limited seating and registrations can be made on the ASEDIE website.