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Open data can transform how we interact with our cities, offering opportunities to improve quality of life. When made publicly available, they enable the development of innovative applications and tools that address urban challenges, from accessibility to road safety and participation.

Real-time information can have positive impacts on citizens. For example, applications that use open data can suggest the most efficient routes, considering factors such as traffic and ongoing construction; information on the accessibility of public spaces can improve mobility for people with disabilities; data on cycling or pedestrian routes encourages greener and healthier modes of transport; and access to urban data can empower citizens to participate in decision-making about their city. In other words, citizen use of open data not only improves the efficiency of the city and its services, but also promotes a more inclusive, sustainable and participatory city.

To illustrate these ideas, this article discusses maps for "navigating" cities, made with open data. In other words, initiatives are shown that improve the relationship between citizens and their urban environment from different aspects such as accessibility, school safety and citizen participation. The first project is Mapcesible, which allows users to map and assess the accessibility of different locations in Spain. The second, Eskola BideApp, a mobile application designed to support safe school routes. And finally, maps that promote transparency and citizen participation in urban management. The first identifies noise pollution, the second locates available services in various areas within 15 minutes and the third displays banks in the city. These maps use a variety of public data sources to provide a detailed overview of different aspects of urban life.

The first initiative is a project of a large foundation, the second a collaborative and local proposal, and the third a personal project. Although they are based on very different approaches, all three have in common the use of public and open data and the vocation to help people understand and experience the city. The variety of origins of these projects indicates that the use of public and open data is not limited to large organisations.

Below is a summary of each project, followed by a comparison and reflection on the use of public and open data in urban environments.

Mapcesible, map for people with reduced mobility

Mapcessible was launched in 2019 to assess the accessibility of various spaces such as shops, public toilets, car parks, accommodation, restaurants, cultural spaces and natural environments.

Figure 1. Mapcesible. Source: https://mapcesible.fundaciontelefonica.com/intro

This project is supported by organizations such as the NGO Spanish Confederation of People with Physical and Organic Disabilities (COCEMFE) and the company ILUNION. It currently has more than 40,000 evaluated accessible spaces and thousands of users.

Figure 2. Mapcesible. Source: https://mapcesible.fundaciontelefonica.com/filters

Mapcesible uses open data as part of its operation. Specifically, the application incorporates fourteen datasets from official bodies, including the Ministry of Agriculture and Environment, city councils of different cities (including Madrid and Barcelona) and regional governments. This open data is combined with information provided by the users of the application, who can map and evaluate the accessibility of the places they visit. This combination of official data and citizen collaboration allows Mapcesible to provide up-to-date and detailed information on the accessibility of various spaces throughout Spain, thus benefiting people with reduced mobility.

Eskola BideAPP, application to define safe school routes.

Eskola BideAPP is an application developed by Montera34 - a team dedicated to data visualisation and the development of collaborative projects - in alliance with the Solasgune Association to support school pathways. Eskola BideAPP has served to ensure that boys and girls can access their schools safely and efficiently. The project mainly uses public data from the OpenStreetMap, e.g. geographical and cartographic data on streets, pavements, crossings, as well as data collected during the process of creating safe routes for children to walk to school in order to promote their autonomy and sustainable mobility.

The application offers an interactive dashboard to visualise the collected data, the generation of paper maps for sessions with students, and the creation of reports for municipal technicians. It uses technologies such as QGIS (a free and open source geographic information system) and a development environment for the R programming language, dedicated to statistical computing and graphics.

The project is divided into three main stages:

1. Data collection through questionnaires in classrooms.
2. Analysis and discussion of results with the children to co-design personalised routes.
3. Testing of the designed routes.

Figure 3. Eskola BideaAPP. Photo by Julián Maguna (Solasgune). Source: https://montera34.com/project/eskola-bideapp/

Pablo Rey, one of the promoters of Montera34 together with Alfonso Sánchez, reports for this article that Eskola BideAPP, since 2019, has been used in eight municipalities, including Derio, Erandio, Galdakao, Gatika, Plentzia, Leioa, Sopela and Bilbao. However, it is currently only operational in the latter two. "The idea is to implement it in Portugalete at the beginning of 2025," he adds.

It''s worth noting the maps from Montera34 that illustrated the effect of Airbnb in San Sebastián and other cities, as well as the data analyses and maps published during the COVID-19 pandemic, which also visualized public data.In addition, Montera34 has used public data to analyse abstention, school segregation, minor contracts or make open data available to the public. For this last project, Montera34 has started with the ordinances of the Bilbao City Council and the minutes of its plenary sessions, so that they are not only available in a PDF document but also in the form of open and accessible data.

Mapas de Madrid sobre contaminación acústica, servicios y ubicación de bancos

Abel Vázquez Montoro has made several maps with open data that are very interesting, for example, the one made with data from the Strategic Noise Map (MER) offered by the Madrid City Council and land registry data. The map shows the noise affecting each building, facade and floor in Madrid.

Figure 4. Noise maps in Madrid. Source: https://madb.netlify.app/.

This map is organised as a dashboard with three sections: general data of the area visible on the map, dynamic 2D and 3D map with configurable options and detailed information on specific buildings. It is an open, free, non-commercial platform that uses free and open source software such as GitLab - a web-based Git repository management platform - and QGIS. The map allows the assessment of compliance with noise regulations and the impact on quality of life, as it also calculates the health risk associated with noise levels, using the attributable risk ratio (AR%).

15-minCity is another interactive map that visualises the concept of the "15-minute city" applied to different urban areas, i.e. it calculates how accessible different services are within a 15-minute walking or cycling radius from any point in the selected city.

Figure 5. 15-minCity. Source: https://whatif.sonycsl.it/15mincity/15min.php?idcity=9166

Finally, "Where to sit in Madrid" is another interactive map that shows the location of benches and other places to sit in public spaces in Madrid, highlighting the differences between rich (generally with more public seating) and poor (with less) neighbourhoods. This map uses the map-making tool, Felt, to visualise and share geospatial information in an accessible way. The map presents different types of seating, including traditional benches, individual seats, bleachers and other types of seating structures.

Figure 6. Where to sit in Madrid. Source: https://felt.com/map/Donde-sentarse-en-Madrid-TJx8NGCpRICRuiAR3R1WKC?loc=40.39689,-3.66392,13.97z

Its maps visualise public data on demographic information (e.g. population data by age, gender and nationality), urban information on land use, buildings and public spaces, socio-economic data (e.g. income, employment and other economic indicators for different districts and neighbourhoods), environmental data, including air quality, green spaces and other related aspects, and mobility data.

What do they have in common?

Figure 7. Comparative table of solutions 

These projects share the approach of using open data to improve access to urban services, although they differ in their specific objectives and in the way information is collected and presented. Mapcesible, Eskola BideApp, MAdB and "Where to sit in Madrid" are of great value.

On the one hand, Mapcesible offers unified and updated information that allows people with disabilities to move around the city and access services. Eskola BideApp involves the community in the design and testing of safe routes for walking to school; this not only improves road safety, but also empowers young people to be active agents in urban planning. In the meantime, 15-min city, MER and the maps developed by Vázquez Montoro visualise complex data about Madrid so that citizens can better understand how their city works and how decisions that affect them are made.

Overall, the value of these projects lies in their ability to create a data culture, teaching how to value, interpret and use information to improve communities.

Content created by Miren Gutiérrez, PhD and researcher at the University of Deusto, expert in data activism, data justice, data literacy, and gender disinformation. The contents and viewpoints reflected in this publication are the sole responsibility of the author.​

The digital revolution is transforming municipal services, driven by the increasing adoption of artificial intelligence (AI) technologies that also benefit from open data. These developments have the potential to redefine the way municipalities deliver services to their citizens, providing tools to improve efficiency, accessibility and sustainability. This report looks at success stories in the deployment of applications and platforms that seek to improve various aspects of life in municipalities, highlighting their potential to unlock more of the vast untapped potential of open data and associated artificial intelligence technologies.

The applications and platforms described in this report have a high potential for replicability in different municipal contexts, as they address common problems. Replication of these solutions can take place through collaboration between municipalities, companies and developers, as well as through the release and standardisation of open data.

Despite the benefits, the adoption of open data for municipal innovation also presents significant challenges. The quality, updating and standardisation of data published by local authorities, as well as interoperability between different platforms and systems, must be ensured. In addition, the open data culture needs to be reinforced among all actors involved, including citizens, developers, businesses and public administrations themselves.

The use cases analysed are divided into four sections. Each of these sections is described below and some examples of the solutions included in the report are shown.

Transport and Mobility

One of the most significant challenges in urban areas is transport and mobility management. Applications using open data have proven to be effective in improving these services. For example, applications such as Park4Dis make it easy to locate parking spaces for people with reduced mobility, using data from multiple municipalities and contributions from volunteers. CityMapper, which has gone global, on the other hand, offers optimised public transport routes in real time, integrating data from various transport modes to provide the most efficient route. These applications not only improve mobility, but also contribute to sustainability by reducing congestion and carbon emissions.

Environment and Sustainability

Growing awareness of sustainability has spurred the development of applications that promote environmentally friendly practices. CleanSpot, for example, facilitates the location of recycling points and the management of municipal waste. The application encourages citizen participation in cleaning and recycling, contributing to the reduction of the ecological footprint. Liight gamifies sustainable behaviour by rewarding users for actions such as recycling or using public transport. These applications not only improve environmental management, but also educate and motivate citizens to adopt more sustainable habits.

Optimisation of Basic Public Services

Urban service management platforms, such as Gestdropper, use open data to monitor and control urban infrastructure in real time. These tools enable more efficient management of resources such as street lighting, water networks and street furniture, optimising maintenance, incident response and reducing operating costs. Moreover, the deployment of appointment management systems, such as CitaME, helps to reduce waiting times and improve efficiency in customer service.

Citizen Services Aggregators

Applications that centralise public information and services, such as Badajoz Es Más and AppValencia, improve accessibility and communication between administrations and citizens. These platforms provide real-time data on public transport, cultural events, tourism and administrative procedures, making life in the municipality easier for residents and tourists alike. For example, integrating multiple services into a single application improves efficiency and reduces the need for unnecessary travel. These tools also support local economies by promoting cultural events and commercial services.

Conclusions

The use of open data and artificial intelligence technologies is transforming municipal management, improving the efficiency, accessibility and sustainability of public services. The success stories presented in this report describe how these tools can benefit both citizens and public administrations by making cities smarter, more inclusive and sustainable environments, and more responsive to the needs and well-being of their inhabitants and visitors.

Download here the accesible version of the report.

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The importance of data in today's society and economy is no longer in doubt. Data is now present in virtually every aspect of our lives. This is why more and more countries have been incorporating specific data-related regulations into their policies: whether they relate to personal, business or government data, or to regulate a range of issues such as who can access it, where it can be stored, how it should be protected, and so on.

However, when these policies are examined more closely, significant differences can be observed between them, depending on the main objectives that each country sets when implementing its data policies. Thus, all countries recognise the social and economic value of data, but the policies they implement to maximise that value can vary widely. For some, data is primarily an economic asset, for others it can be a means of innovation and modernisation, and for others a tool for development. In the following, we will review the main features of their data policies, focusing mainly on those aspects related to fostering innovation through the use of data.

A recent report by the Centre for Innovation through Data compares the general policies applicable in several countries that have been selected precisely because of differences in their vision of how data should be managed: China, India, Singapore, the United Kingdom and the European Union.

CHINA

Its efforts are focused on building a strong domestic data economy to strengthen national competitiveness and maintain government control through the collection and use of data. It has two agencies from which data policy is directed: the Cyberspace Administration (CAC) and the National Data Administration (NDA).

The main policies governing data in the country are:

• The five-year national informatisation plan, published by the end of 2021 to increase data collection in the national industry.
• The data Security Law (DSL), effective from September 2021, which gives special protection to all data considered to have an impact on national security.
• The cybersecurity law (CSL), effective since June 2017, prohibits online anonymisation and also grants government access to data when required for security purposes.
• The personal Information Protection Act (PIPL), effective from November 2021, which establishes the obligation to keep data on national territory.

INDIA

Its main objective is to use data policy to unlock a new economic resource and drive the modernisation and development of the country. The Ministry of Electronics and Information Technology (MEITy) governs and oversees data policies in the country, which we summarise below:

• The digital Personal Data Protection Act of 2023, which aims to enable the processing of personal data in a way that recognises both the right of individuals to protect their data and the need to process it for legitimate purposes.
• The data protection and empowerment architecture (DEPA), which was launched in 2020 and gives citizens greater control over their personal data by establishing intermediaries between information users and providers, as well as providing consent to companies based on a set of permissions established by the user.
• The non-personal data governance framework also adopted in 2020, which states that the benefits of data should also accrue to the community, not just to the companies that collect the data. It also indicates that high-value data and data related to the public interest (e.g. energy, transport, geospatial or health data) should be shared.

SINGAPORE

It aims to use data as a vehicle to attract new companies to operate within the country. The Infocomm Media Development Authority (IMDA) is the entity in charge of managing the data policies in this case, which includes the control of the Personal Data Protection Commission (PDPC).

Among the most relevant regulations in this case we can find:

• The personal Data Protection Act (PDPA), which was last updated in 2021 and is based on consent, but also provides for some exceptions for legitimate public interest.
• The trust Framework for Data Sharing published in 2019, which sets out standards for data sharing between companies (including templates for establishing legal sharing agreements), albeit with certain protections for trade secrecy.
• The data Portability Obligation (DPO), which will soon be incorporated into the PDPA to establish the right to transmit personal data to another service (provided it is based in the country) in a standard format that facilitates the exchange.

UNITED KINGDOM

It wants to boost the country's economic competitiveness while protecting the privacy of its citizens' data. The Office of the Information information Commissioner's Office (ICO) is the body in charge of data protection and data sharing guidelines.

In the case of the United Kingdom, the legislative framework is very broad:

• The core privacy principles, such as data portability or conditions of access to personal data, are covered by the General Data Protection Regulation (GDPR) of 2016, the law of Data Protection Act (DPA) of 2018, the Electronic Communications Privacy Regulation of 2013 and the proposed Digital Data and Information Protection Act still under discussion.
• The law on Digital Economy established in 2017, which defines the rules for sharing data between public administrations for the development of public services.
• The Data Sharing Code which came into force in October 2021 and sets out good practices to guide companies when sharing data.
• The Payment Services Directive (PSD2), which initially came into force in 2018 requiring banks to share their data in standardised formats to encourage the development of new services.

EUROPEAN UNION

It uses a human rights-based approach to data protection. The aim is to prioritise the creation of a single market that facilitates the free flow of data between member states. The European Data Protection Board (EDPB) and the European Data Protection and Innovation through Data Board are the main bodies responsible for supervising data protection in the Union.

Again, the applicable rules are very broad and have continued to expand recently:

• The General Data Protection Regulation (GDPR), which has become the most comprehensive and descriptive regulation in the world, and is based on the principles of legality, fairness, transparency, containment, minimisation, accuracy, storage, integrity, confidentiality and accountability.
• The programme for the Digital Decadeto promote a single, interoperable, interconnected and secure digital market.
• The Declaration on Digital Rights and Principleswhich expands on the digital and data rights already existing in the standard of protection.
• The Data Act and the Data Governance Regulation which facilitate accessibility to data horizontally accessibility to data horizontally, i.e. across and within sectors, following EU principles. The Data Law drives harmonised rules on fair access to and use of data, clarifying who can create value from data and under what conditions. The Data Governance Regulation regulates the secure exchange of data sets held by public bodies over which third party rights concur, as well as data brokering services and the altruistic transfer ofdata for the benefit of society for the benefit of society.

The keys to promoting innovation

In general, we could conclude that those data policies that adopt a more innovation-oriented approach are characterised by the following:

1. Data protection based on different levels of risk, prioritising the protection of the most sensitive personal data, such as medical or financial information, while reducing regulatory costs for less sensitive data.
2. Sharing frameworks for personal and non-personal data, encouraging data sharing by default in both the public and private sector and removing barriers to voluntary data sharing.
3. Facilitating the flow of data, supporting an open and competitive digital economy.
4. Proactive data production policies, encouraging the use of data as a factor of production by collecting data in various sectors and avoiding data gaps.

As we have seen, data policies have become a strategic issue for many countries, not only helping to reinforce their goals and priorities as a nation, but also sending signals about what their priorities and interests are on the international stage. Striking the right balance between data protection and fostering innovation is one of the key challenges. Before addressing their own policies, countries are advised to invest time in analysing and understanding the various existing approaches, including their strengths and weaknesses, and then take the most appropriate specific steps in designing their own strategies.

Content prepared by Carlos Iglesias, Open data Researcher and consultant, World Wide Web Foundation. The contents and views expressed in this publication are the sole responsibility of the author.

There is never an end to opportunities to discuss, learn and share experiences on open data and related technologies. In this post, we select some of the upcoming ones, and tell you everything you need to know: what it's about, when and where it takes place and how you can register.

Don't miss this selection of events on cutting-edge topics such as geospatial data, accessible data reuse strategies and even innovative trends in data journalism. the best thing? All are free of charge.

Let's talk about data in Alicante

The National Association of Big Data and Analytics (ANBAN) is organising an open and free event in Alicante to debate and exchange views on data and artificial intelligence. During the meeting, not only will use cases that relate data with AI be presented, but also a part of the event will be dedicated to encourage networking among the attendees.

• What is it about? let's talk about data' will start with two talks on artificial intelligence projects that are already making an impact. Afterwards, the course on AI organised by the University of Alicante together with ANBAN will be explained. The final part of the event will be more relaxed to encourage attendees to make valuable connections.
• When and where? Thursday 29 February at 20.30h at ULAB (Pza. San Cristóbal, 14) in Alicante.
• How do I register? Book your place by signing up here: https://www.eventbrite.es/e/entradas-hablemos-del-dato-beers-alicante-823931670807?aff=oddtdtcreator&utm_source=rrss&utm_medium=colaborador&utm_campaign=HDD-ALC-2902

Open Data Day in Barcelona: Re-using data to improve the city

Open Data Day is an international event that brings together open data activities around the world. Within this framework, the barcelona Open Data initiative initiative has organised an event to discuss projects and strategies for the publication and reuse of open data to make a clean, safe, friendly and accessible city possible.

• What is it about? Through open data projects and data-driven strategies, the challenge of security, coexistence of uses and maintenance of shared spaces in municipalities will be addressed. The aim is to generate dialogue between organisations that publish and reuse data to add value and develop strategies together.
• When and where? On 6 March from 5 to 7.30 p.m. at Ca l'Alier (C/ de Pere IV, 362).
• How do I register? Through this link: https://www.eventbrite.es/e/entradas-open-data-day-2024-819879711287?aff=oddtdtcreator

Presentation of the "Good Practice Guide for Data Journalists"

The Valencian Observatory of Open Data and Transparency of the Universitat Politècnica de València has created a guide for journalists and data professionals with practical advice on how to turn data into attractive and relevant journalistic stories for society. The author of this reference material will talk to a data journalist about the challenges and opportunities that data offers in journalism.

• What is it about? It is an event that will address key concepts of the Good Practice Guide for Data Journalists through practical examples and cases to analyse and visualise data correctly. Ethics will also be a theme of the presentation.
• When and where? Friday 8th March from 12h to 13h in the Assembly Hall of the Faculty of ADE of the UPV (Avda. Tarongers s/n) in Valencia.
• How do I register? More information and registration here: https://www.eventbrite.es/e/entradas-presentacion-de-la-guia-de-buenas-practicas-para-periodistas-de-datos-835947741197

Geodata Conference of the Madrid City Council Geoportal

Madrid hosts the sixth edition of this event which brings together heads of institutions and benchmark companies in cartography, geographic information systems, digital twin, BIM, Big Data and artificial intelligence. The event will also be used as an opportunity to award the prizes of the Geodata Stand.

• What is it about? Followingin the footsteps of previous years, the Madrid Geodata Conference will present case studies and new developments in cartography, digital twinning, reuse of georeferenced data, as well as the best papers presented at the Geodata Stand.
• When and where? The event starts on 12 March at 9am in the Auditorio de La Nave in Madrid and will last until 2pm. The following day, 13 March, the session will be virtual and will present the projects and new developments in geo-information production and distribution via the Madrid Geoportal.
• How do I register? Through the event portal. Places are limited https://geojornadas.madrid.es/

3rd URJC Free Culture Conference

The Free Culture Conference of the Universidad Rey Juan Carlos is a meeting point, learning and exchange of experiences about free culture in the university. Topics such as open publishing of teaching and research materials, open science, open data, and free software will be addressed.

• What is it about? The two-day event will feature presentations by experts, workshops on specific topics and an opportunity for the university community to present papers. In addition, there will be an exhibition space where tools and news related to culture and free software will be shared, as well as a poster exhibition area
• When and where? 20 and 21 March at the Fuenlabrada Campus of the URJC
• How do I register? Registration is free of charge via this link: https://eventos.urjc.es/109643/tickets/iii-jornadas-de-cultura-libre-de-la-urjc.html

These are some of the upcoming events. In any case, don't forget to follow us on social media so you don't miss any news about innovation and open data. We are on Twitter y LinkedIn you can also write to us at dinamizacion@datos.gob.es if you would like us to add another event to the list or if you need extra information.

This mobile application developed by the City Council of Ourense allows you to consult updated information about the city: news, notices or upcoming events on different topics such as: 

• Arts and festivities: Cultural events organized by the city council.
• Tourism: Information about thermal facilities, tourist attractions, heritage, routes and gastronomy.
• Notifications: Real time notifications about possible traffic cuts, opening of monuments or other specific issues.  
• Information: Data of general interest such as emergency telephone numbers or citizen services of the city council. 

The mOUbil app, developed through local open data sets, unifies all the information of interest to the neighbors of Ourense, as well as tourists who want to know the city. In addition, anyone can make suggestions for improvement on the application through this form: Queries and Suggestions (ourense.gal).  

Your download is available for both Android mOUbil - Ourense no peto! - Apps in Google Play and iOS: moubil - Ourense no peto! in App Store (apple.com)

The application shows all public wireless networks in the city of Valencia and allows its geolocation. It offers a map to identify the location of the network and a free text field to insert any comment. It also has a detailed screen with which the user can rate from 1 to 5 the quality of the installation and the signal.  

All this is stored on the device so that nothing is lost when closing the application. 

The application is available in English, Spanish, Chinese and Japanese.

It is now almost five years since the publication of the study on the first decade of open data by the Open Data for Development (OD4D) network and more than 60 expert authors from around the world. This first edition of the study highlighted the importance of open data in socio-economic development and global problem solving. It also highlighted progress in making data more accessible and reusable , and at the same time began to elaborate on the need to take into account other key issues such as data justice, the need for responsible AI and privacy challenges.

Over the last year and a half, the new Data for Development (D4D) network has been organising a series of discussions to analyse the evolution of the open data movement in recent years and to publish an update of the previous study. Preliminary general conclusions from these discussions include:

• The need to make impact stories more visible as a way to encourage greater openness and availability of data.
• The desirability of opening up data in a way that meets the needs of potential users and beneficiaries, and that is done in a collaborative way with the community.
• Advocate for donor organisations to add as part of their grant programmes a requirement for grantees to develop and implement open data plans.
• Prioritise the need for interoperable data sharing.
• Publish more data focused on improving the situation of historically marginalised groups.
• Increase efforts to further develop the technical capacities required for the implementation of open data.
• Delve into the creation, evolution and implementation of the legal and policy frameworks necessary to support all of the above.

At the same time, there was a process of updating the study underway, analysing the progress made over the last few years in each of the sectors and communities covered by the original study. As a result of this process, we can already see some previews of the most important developments over the last few years, as well as the remaining challenges in various areas, which we review below. The 2nd Edition of the State of Open Data in a brand new online format with 30 new chapter updates and a renewed vision to guide open data agendas in the years to come.

Sectoral developments

Some of the most relevant developments in different key sectors over the last five years include the following:

Accountability and anti-corruption: There has been a rapid increase in the use of data in this area, although its impact is not well documented and the use of open data in this area should focus more on the problems identified and work more collaboratively with all stakeholders.

Agriculture: The agri-food sector has focused on facilitating the secure and efficient sharing of data by applying the principles of the FAIR (Findable, Accessible, Interoperable and Reusable) data model , mainly due to reluctance to share some of the more personal data.

Shipping: This is a sector where public authorities clearly recognise the importance of open data in building transport ecosystems that contribute to addressing global issues such as sustainable development and climate change. The main challenges identified in this case are interoperability and data privacyprotection.

Health: The practice of collecting, sharing and using health-related data has accelerated considerably due to the effects of the Covid-19 pandemic . At the same time, the containment measures carried out during this period in terms of contact tracing and quarantines have contributed to increased recognition of the importance of digital rights for health data.

National statistics: Open data has established itself as an integral part of national statistics, but there is a significant risk of regression. International organisations are no longer so much focused on disseminating data as on encouraging its use to generate value and impact. Therefore, it is now necessary to focus on the sustainability of initiatives in order to ensure equitable access and enhance the social good.

Action on climate change: In recent years, the quality and availability of climate data has improved in some very specific sectors, such as energy. However, there are still large gaps in other areas, for example in cities or the private sector. On the other hand, the available climate datasets present other challenges such as being often too technical, poorly formatted or not addressing specific use cases and problems.

Urban development: Open data is playing an increasingly important role in the context of urban development globally through its promotion of equity, its contribution to climate change mitigation and the improvement of crisis response systems. In addition, the continuous development and growth of urban technologies such as the Internet of Things (IoT), digitalsandboxes  or digital twins is creating the need to improve data quality and interoperability - which at the same time pushes the development of open data. The task ahead in this sector is to achieve greater citizen participation.

Cross-cutting developments

In addition to sectoral developments, we must also take into account those cross-cutting trends that have the potential to affect all sectors, which are described below:

Artificial Intelligence: AI applications have an increasing influence on what data is published and how it is structured. Governments and others are striving to complete the open data available for AI training that is necessary to avoid the biases that currently exist . To make this possible, new mechanisms are also being developed to enable access to sensitive data that cannot be published directly under open licences.

Data literacy: Low data literacy remains one of the main factors delaying the exploitation of open data, although there have also been some important developments at the level of industry, civil society, government and educational institutions - particularly in the context of the urgent need to counter the growing amount of misinformation being misused.

Gender equality: In recent years the Covid-19 pandemic and other global political events have compounded the challenges for women and other marginalised groups. Progress in the publication and use of open data on gender has been generally slow and more resources would need to be made available to improve this situation.

Privacy: The growing demand for personal data and the increasing use of multiple data sources in combination has increased privacy risks.  Group privacy is also an emerging concern and some debate has also formed about the necessary balance between transparency and privacy protection in some cases. In addition, there is also a demand for better data governance and oversight mechanisms for adequate data protection.

What's New Geographically

Finally, we will review some of the trends observed at the regional level:

South and East Asia: There has been little change in the region's open data landscape with several countries experiencing a decline in their open data practices after facing changes in their governments. At a general level, improvements can be seen in a more conducive bureaucratic environment and in data-related skills. However, all this is not yet translating into real impact due to lack of re-use.

Sub-Saharan Africa: The open data movement has expanded considerably in the region in recent years, involving new actors from the private sector and civil society. This dynamisation has been made possible mainly by following an approach based on addressing the challenges stemming from the Sustainable Development Goals. However, there are still significant gaps in the capacity to collect data and to ensure its ethical treatment.

Latin America: As in other parts of the world, open data agendas are not advancing at the same pace as a few years ago. Some progress can be seen in some types of data such as public finance, but also large gaps in other areas such as business information or data on climate action. In addition, there is still a lot of basic work to be done in terms of data openness and availability.

North America and Oceania: There is a shift towards institutionalising data policies and the structures needed to integrate open data into the culture of public governance more broadly. The use of open data during Covid-19 to facilitate transparency, communication, research and policy-making served to demonstrate its multi-purpose nature in this area.

These are just a few previews of what we will see in the next edition of the study on the evolution of the open data movement. In the 2nd Edition of the State of Open Data we can know in detail all the progress of the last five years, the new challenges and the challenges that remain. As we enter a new phase in the evolution of open data, it will also be interesting to see how these lessons and recommendations are put into practice, and at the same time also to begin to imagine how open data will be positioned on the global agenda in the coming years.

Content prepared by Carlos Iglesias, Open data Researcher and consultant, World Wide Web Foundation.

The contents and views reflected in this publication are the sole responsibility of the author.

ContratosMenores.es is a website that provides information on minor contracts carried out in Spain since January 2022. Through this application you can locate the contracts according to their classification in the Common Procurement Vocabulary (CPV), following the hierarchical tree of public procurement bodies, with a free text search, or from different rankings, for example, of most expensive contracts, most frequent awardees and others.

In the file of each organization and of each awardee, details are given of their outstanding relations with other entities, the most frequent categories of their contracts, similar companies, duration of the contracts, amount, and much more.

In the case of the awarded companies, a map is drawn with the location of the contracts they have received.

The website is completely free, does not require registration, and is updated daily, starting with more than one million registered minor contracts.

The Spanish Federation of Municipalities and Provinces (FEMP) approved at the end of 2023 two model ordinances that address progress in two key areas: transparency and data governance. Both documents will not only improve the quality of processes, but also facilitate access, management and re-use of data. In this post, we will analyse the second ordinance drafted within the FEMP's Network of Entities for Transparency and Citizen Participation in its quest to define common reference models. In particular, the ordinance on data governance.

The usefulness and good work of the Model Ordinance on Data Governance in Local Entities has been highlighted by the Multisectoral Association of Information (ASEDIE), which awarded it the prize in the category 'Promoting data literacy' at its 15th ASEDIE International Conference.

Under this premise, the document addresses all elements related to the collection, management and exploitation of data in order to approach them as a commongood, i.e. ensuring their openness, accessibility and re-use. This is a relevant objective for local administrations, as it enables them to improve their functioning, service delivery and decision-making. Data governance is the framework that guides and guarantees this process and this ordinance proposes a flexible regulatory framework that different administrations can adapt according to their specific needs.

What is data governance?

 Data Governance comprehensively addresses all aspects related to the collection, management and exploitation of data, as well as its openness and re-use by society as a whole on an equal basis. Itcan therefore bedefined as an organisational function responsible for being accountable for the effective, efficient and acceptable use of databy the organisation, which is necessary to deliver the business strategy. This is described in the specifications UNE 0077:2023 on Data Governance and UNE 78:2023 on Data Management, which include standardised processes to guide organisations in the establishment of approved and validated mechanisms that provide organisational support to aspects related to the opening and publication of data, for subsequent use by citizens and other institutions.

How was the FEMP Data Governance Ordinance developed?

In order to develop the Model Ordinance on Data Governance in the Local Entity, a multidisciplinary working group was set up in 2022, which included workers from the Public Administrations, private companies, representatives of the infomediary sector, the Data Office, universities, etc. This team set out two main objectives that would mark the content of the document:

• Develop guidelines for municipalities and other public authorities defining the strategy to be followed in order to implement an open data project.
• Create a reference model of datasets common to all public administrations to facilitate the re-use of information.

With these two challenges in mind, in early 2023 the FEMP working group started to establish aspects, structure, contents and work plan. During the following months, work was carried out to draft, elaborate and reach consensus on a single draft.

In addition, a participatory process was organised on the Idea Zaragoza platform to nurture the document with contributions from experts from all over the country and FEMP partners.

The result of all the work was based on the Open Data Charter (ODC), the recommendations issued by the Spanish Government's Data Office and the existing European and national regulations on this matter.

New features and structure of the Data Governance Ordinance

The FEMP's Model Ordinance on Data Governance is in line with the context in which it has been presented, i.e. it recognises relevant aspects of the current moment we are living in. One of the document's salient features is the premise of guaranteeing and enhancing the rights of both natural and legal persons and respecting the General Data Protection Regulation. The regulation places particular emphasis on the proportionality of anonymisation to ensure the privacy of individuals.

Another novel aspect of the standard is that it brings the vision of high-value data defined by the European Commission from the perspective of local government. In addition, the Model Ordinance recognises a single regime for access and re-use of public information, in accordance with Law 19/2013 of 9 December on transparency, access to public information and good governance, and Law 37/2007 on the re-use of public sector information.

Beyond ensuring the legal and regulatory framework, the FEMP Ordinance also addresses the data associated with artificial intelligence, a cutting-edge technological synergy that every day offers great innovative solutions. For an artificial intelligence to function properly, it is necessary to have quality data to help train it. In relation to this point, the ordinance defines quality requirements (Article 18) and metrics for their assessment that are adapted to each specific context and address issues such as accuracy, portability or confidentiality, among others.  The document establishes guarantees that the use of the data will be carried out in a way that respects the rights of individuals.

All these new aspects are part of the FEMP's Model Ordinance on Data Governance for Local Entities, which is organised in the following structure:

1. General provisions: This first section presents data as the main digital asset of Public Administrations as a strategic asset, and the object, principles and right of citizenship.
2. Planning, organisation and tools for data governance: Here the organisation and competencies for data governance are defined. In addition, the importance of maintaining an inventory of datasets and information sources is stressed (Article 9).
3. The data: This chapter recognises the publication requirements and security standards, the importance of the use of reference vocabularies, and the categories of datasets whose openness should be prioritised, namely the 80 typologies referred to by FEMP as most relevant.
4. Life cycle: This section highlights, on the one hand, the collection, opening, storage and use of data; and, on the other hand, the limits, deletion and destruction of data when these actions are required.  when these actions are required.
5. Access, publication and re-use: The fifth chapter deals with issues related to the exploitation of data such as the use of specific licences, exclusive rights, payment for re-use or prior request for access to certain datasets.
6. Liability and guarantees: The last point describes the sanctioning and disciplinary regime and the civil and criminal liabilities of the re-user.

In short, the publication of the Ordinance on Data Governance in Local Entities provides local administrations with a flexible regulation and defines administrative structures that seek to improve management, reuse and the promotion of a data-driven society.

You can access the full document here: Standard Ordinance on Data Governance in the Local Entity

The Centre de documentació i biblioteca del Institut Català d'Arqueologia Clàssica (ICAC) has the repository Open Science ICAC. This website is a space where science is shared in an accessible and inclusive way. The space introduces recommendations and advises on the process of publishing content. Also, on how to make the data generated during the research process available for future research work.

The website, in addition to being a repository of scientific research texts, is also a place to find tools and tips on how to approach the research data management process in each of its phases: before, during and at the time of publication.

• Before you begin: create a data management plan to ensure that your research proposal is as robust as possible. The Data Management Plan (DMP) is a methodological document that describes the life cycle of the data collected, generated and processed during a research project, a doctoral thesis, etc.
• During the research process: at this point it points out the need to unify the nomenclature of the documents to be generated before starting to collect files or data, in order to avoid an accumulation of disorganised content that will lead to lost or misplaced data. In addition, this section provides information on directory structure, folder names and file names, the creation of a txt file (README) describing the nomenclatures or the use of short, descriptive names such as project name/acronym, file creation date, sample number or version number. Recommendations on how to structure each of these fields so that they are reusable and easily searchable can also be found on the website.
• Publication of research data: in addition to the results of the research itself in the form of a thesis, dissertation, paper, etc., it recommends the publication of the data generated by the research process itself. The ICAC itself points out that research data remains valuable after the research project for which it was generated has ended, and that sharing data can open up new avenues of research without future researchers having to recreate and collect identical data. Finally, it outlines how, when and what to consider when publishing research data.

Graphical content for improving the quality of open data

Recently, the ICAC has taken a further step to encourage good practice in the use of open data. To this end, it has developed a series of graphic contents based on the "Practical guide for the improvement of the quality of open data"produced by datos.gob.es. Specifically, the cultural body has produced four easy-to-understand infographics, in Catalan and English, on good practices with open data in working with databases and spreadsheets, texts and docs and CSV format.

All the infographics resulting from the adaptation of the guide are available to the general public and also to the centre's research staff at Recercat, Catalonia's research repository. Soon it will also be available on the Open Science website of the Institut Català d'Arqueologia Clàssica (ICAC)open Science ICAC.

The infographics produced by the ICAC review various aspects. The first ones contain general recommendations to ensure the quality of open data, such as the use of standardised character encoding, such as UTF-8, or naming columns correctly, using only lowercase letters and avoiding spaces, which are replaced by hyphens. Among the recommendations for generating quality data, they also include how to show the presence of null or missing data or how to manage data duplication, so that data collection and processing is centralised in a single system so that, in case of duplication, it can be easily detected and eliminated.

The latter deal with how to set the format of thenumerical figures and other data such as dates, so that they follow the ISO standardised system, as well as how to use dots as decimals. In the case of geographic information, as recommended by the Guide, its materials also include the need to reserve two columns for inserting the longitude and latitude of the geographic points used.

The third theme of these infographics focuses on the development of good databases or spreadsheets databases or spreadsheetsso that they are easily reusable and do not generate problems when working with them. Among the recommendations that stand out are consistency in generating names or codes for each item included in the data collection, as well as developing a help guide for the cells that are coded, so that they are intelligible to those who need to reuse them.

In the section on texts and documents within these databases, the infographics produced by the Institut Català d'Arqueologia Clàssica include some of the most important recommendations for creating texts and ensuring that they are preserved in the best possible way. Among them, it points to the need to save attachments to text documents such as images or spreadsheets separately from the text document. This ensures that the document retains its original quality, such as the resolution of an image, for example.

Finally, the fourth infographic that has been made available contains the most important recommendations for working with CSV format working with CSV format (comma separated value) format, such as creating a CSV document for each table and, in the case of working with a document with several spreadsheets, making them available independently. It also notes in this case that each row in the CSV document has the same number of columns so that they are easily workable and reusable, without the need for further clean-up.

As mentioned above, all infographics follow the recommendations already included in the Practical guide for improving the quality of open data.

The guide to improving open data quality

The "Practical guide for improving the quality of open data" is a document produced by datos.gob.es as part of the Aporta Initiative and published in September 2022. The document provides a compendium of guidelines for action on each of the defining characteristics of quality, driving quality improvement. In turn, this guide takes the data.europe.eu data quality guide, published in 2021 by the Publications Office of the European Union, as a reference and complements it so that both publishers and re-users of data can follow guidelines to ensure the quality of open data.

In summary, the guide aims to be a reference framework for all those involved in both the generation and use of open data so that they have a starting point to ensure the suitability of data both in making it available and in assessing whether a dataset is of sufficient quality to be reused in studies, applications, services or other.