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The UNE 0087 standard defines for the first time in Spain the key principles and requirements for creating and operating in data spaces

On 17 July, the UNE 0087 Specification "Definition and Characterisation of Data Spaces" was officially published, the first Spanish standard to establish a common framework for these digital environments.

This milestone has been possible thanks to the collaboration of the Data Space Reference Centre (CRED) with the Spanish Association for Standardisation (UNE). This regulation, which was approved on June 20, 2025, defines three key pillars in adherence to data spaces: interoperability, governance and value creation, with the aim of offering legal certainty, trust and a common technical language in the data economy.

For its creation, three working groups have been formed with more than 50 participants from both public and private entities who have contributed their knowledge to define the principles and key characteristics of these collaborative systems. These working groups have been coordinated as follows:

• WG1: Definition of Data Spaces and Maturity Model.
• WG2: Technical and Semantic Interoperability.
• WG3: Legal and organisational interoperability.

The publication of this regulation is, therefore, a reference document for the creation of secure and reliable data spaces, applicable in all productive sectors and which serves as a basis for future guide documents.

In this way, to offer guidelines that facilitate the implementation and development of data spaces, the UNE 0087:2025 specification was created to create an inclusive framework of reference that guides organizations so that they can take advantage of all the information in an environment of regulatory compliance and digital sovereignty. The publication of this regulation has a number of benefits:

• Accelerate the deployment of data spaces across all sectors of the economy.
• Supporting sustainability and scaling/growth of data-sharing ecosystems.
• Promoting public/private collaboration, ensuring convergence with Europe.
• Move towards technological autonomy and data sovereignty in ecosystems.
• Promote the discovery of new innovative business opportunities by fostering collaboration and the creation of strategic alliances.

Within the specification, data spaces are defined, their key characteristics of interoperability, governance and value generation are established and the benefits of their adhesion are determined. The specification is published here and it is important to add that, although there is a download cost, it is free of charge, thanks to the sponsorship of the General Directorate of Data.

With this tool, Spain takes a firm step in the consolidation of cohesive, secure data spaces aligned with the European framework, facilitating the implementation of cross-cutting projects in different sectors.

Spain is taking a key step towards the data economy with the launch of the Data Spaces Kit, an aid programme that will subsidise the integration of public and private entities in sectoral data spaces.

Data spaces are secure ecosystems in which organizations, both public and private, share information in an  interoperable way, under common rules and with privacy guarantees. These allow new products to be developed, decision-making to be improved and operational efficiency to be increased, in sectors such as health, mobility or agri-food, among others.

Today, the Ministry for Digital Transformation and Public Function, through the Secretary of State for Digitalisation and Artificial Intelligence, has published in the Official State Gazette the rules governing the granting of aid to entities interested in effectively joining a data space.

This programme, which is called the "Data Spaces Kit", will be managed by Red.es and will subsidise the costs incurred by the beneficiary entities to achieve their incorporation into an eligible data space, i.e. one that meets the requirements set out in the bases, from the day of their publication.

Recipients and Funding

This aid plan is aimed at both public and private entities, as well as Public Administrations. Among the beneficiaries of these grants are the participants, which are those entities that seek to integrate into these ecosystems to share and take advantage of data and services.

For the execution of this plan, the Government has launched aid of up to 60 million euros that will be distributed, depending on the type of entity or the level of integration as follows:

• Private and public entities with economic activity will have an aid of up to €15,000 under the effective incorporation regime or up to €30,000 if they join as a supplier.
• On the other hand, Public Administrations will have funding of up to €25,000 if they are effectively incorporated, or up to €50,000 if they do so as a supplier.

The incorporation of companies from different sectors in the data spaces will generate benefits both at the business level and for the national economy, such as increasing the innovation capacity of the beneficiary companies, the creation of new products and services based on data analysis and the improvement of operational efficiency and decision-making.

The call is expected to be published during the fourth quarter of 2025. The subsidies will be applied for on a non-competitive basis, on a first-come, first-served basis and until the available funds are exhausted.

The publication of these regulatory bases in the Official State Gazette (BOE) aims to boost the data ecosystem in Spain, strengthen the competitiveness of the economy at the global level and consolidate the financial sustainability of innovative business models.

More information:

Regulatory bases in the BOE.

Data Space Reference Center LinkedIn page.

The Ministry for the Digital Transformation and Civil Service, on 17 December, announced the publication of the call for proposals for products and services for data spaces, an initiative that seeks to promote innovation and development in various sectors through financial aid. These grants are designed to support companies and organisations in the implementation of advanced technological solutions, thus promoting competitiveness and digital transformation in Spain.

In addition, on 30 December, the Ministry also launched the second call for proposals for demonstrators and use cases. This call aims to encourage the creation and development of sectoral data spaces, promoting collaboration and the exchange of information between the different actors in the sector.

The Ministry has been conducting promotions through online workshops to inform and prepare stakeholders about the opportunities and benefits of the data space sector. It is expected that these events will continue throughout January, providing further opportunities for stakeholders to inform themselves and participate.

The following material is of interest to you:

Call for demonstrators and use cases

• Data space demonstrators and use cases (2nd call for proposals).
• Enquiry mailbox: dcu2.espaciosdedatos@digital.gob.es
• Presentations and helpful videos: 
  • Digital Transformation Ministry Grants Portal -DCU2- Support material.

Products and services

• Call for proposals for products and services for data spaces.
• Consultation mailbox:    ps.espaciosdedatos@digital.gob.es
• Presentations and helpful videos:
  •  Digital Transformation Ministry Grants Portal -PSED Grants Portal- Support material.

Data governance is crucial for the digital transformation of organisations.  It is developed through various axes within the organisation, forming an integral part of the organisational digital transformation plan. In a world where organisations need to constantly reinvent themselves and look for new business models and opportunities to innovate, data governance becomes a key part of moving towards a fairer and more inclusive digital economy, while remaining competitive. 

Organisations need to maximise the value of their data, identify new challenges and manage the role of data in the use and development of disruptive technologies such as Artificial Intelligence. Thanks to data governance, it is possible to make informed decisions, improve operational efficiency and ensure regulatory compliance, while ensuring data security and privacy.

To achieve this, it is essential to carry out a planned digital transformation, centred on a strategic data governance plan that complements the organisation's strategic plan. The UNE 0085 guide helps to implement data governance in any organisation and does so by placing special emphasis on the design of the programme through an evaluation cycle based on gap analysis, which must be relevant and decisive for senior management to approve the launch of the programme.

The data governance office, key body of the programme

A data governance programme should identify what data is critical to the organisation, where it resides and how it is used.. This must be accompanied by a management system that coordinates the deployment of data governance, management and quality processes. An integrated approach with other management systems that the organisation may have, such as the business continuity management system or the information security system, is necessary.

The Data Governance Office is the area in charge of coordinating the development of the different components of the data governance and management system, i.e. it is the area that participates in the creation of the guidelines, rules and policies that allow the appropriate treatment of data, as well as ensuring compliance with the different regulations.

The Data Governance Office should be a key body of the programme. It serves as a bridge between business areas, coordinating data owners and data stewards at the organisational level.

UNE 0085: guidelines for implementing data governance

Implementing a data governance programme is not an easy task. To help organisations with this challenge, the new UNE 0085  has been developed, which follows a process approach as opposed to an artefact approach and summarises as a guide the steps to follow to implement such a programme, thus complementing the family of UNE standards on data governance, management and quality 0077, 0078, 0079 and 0080.

This guide:

• It emphasises the importance of the programme being born aligned with the strategic objectives of the organisation, with strong sponsorship.
• Describes at a high level the key aspects that should be covered by the programme.
• Detalla diferentes escenarios tipo, que pueden ayudar a una organización a clarificar por dónde empezar y qué iniciativas debería priorizar, el modelo operativo y roles que necesitará para el despliegue.
• It presents the design of the data governance programme through an evaluation cycle based on gap analysis.  It starts with an initial assessment phase (As Is) to show the starting situation of the organisation followed by a second phase in which the scope and objectives of the programme are defined and aligned with the strategic objectives of the organisation phase (To be), to carry out the gap analysis phase. It ends with a business case that includes deliverables such as scope, frameworks, programme objectives and milestones, budget, roadmap and measurable benefits with associated KPIs among other aspects. This use case will serve as the launch of the data governance programme by management and thus its implementation throughout the organisation. The different phases of the cycle in relation to the UNE 0077 data governance system are presented below:

Finally, beyond processes and systems, we cannot forget people and the roles they play in this digital transformation. Data controllers and the entities involved are central to this organisational culture change. It is necessary to manage this change effectively in order to deploy a data governance operating model that fits the needs of each organisation.

It may seem complex to orchestrate and define an exercise of this magnitude, especially with abstract concepts related to data governance. This is where the new data governance office, which each organisation must establish, comes into play. This office will assist in these essential tasks, always following the appropriate frameworks and standards.

It is recommended to follow a methodology that facilitates this work, such as the UNE specifications for data governance, management and quality (0077, 0078, 0079 and 0080). These specifications are now complemented by the new UNE 0085, a practical implementation guide that can be downloaded free of charge from the AENOR website.

The content of this guide can be downloaded freely and free of charge from the AENOR portal through the link below by accessing the purchase section. Access to this family of UNE data specifications is sponsored by the Secretary of State for Digitalization and Artificial Intelligence, Directorate General for Data. Although the download requires prior registration, a 100% discount on the total price is applied at the time of finalizing the purchase. After finalizing the purchase, the selected standard or standards can be accessed from the customer area in “my products” section.

• ESPECIFICACION UNE 0085:2024 | Normas AENOR

TheMinistry for the Digital Transformation and Civil Service has presented an ambitious Plan for the Promotion of Sectorial Data Spaces. Its objective is to foster innovation and improve competitiveness and added-value in all economic sectors, promoting the deployment of data spaces where data can be securely shared. Thanks to them, companies, and the economy in general, will be able to benefit from the full potential of a European data single market.

The Plan has a 500 million euros budget from the Recovery, Transformation and Resilience Plan, and will be developed in 6 axes and 11 initiatives with a planned duration until 2026.

Data spaces

Data sharing in data spaces offers enormous benefits to all the participating companies, both individually and collectively. These benefits include improved efficiency, cost reduction, increased competitiveness, innovation in business models and better adaptation to regulations. These benefits cannot be achieved by companies in isolation but requires the sharing of data among all the actors involved.

Some examples of these benefits would be:

The strong commitment to common data spaces at European level is one of the main axes of the European Data Strategy adopted in 2020. This approach was already announced in that document as a basis, on the one hand, to support public policy momentum and, on the other hand, to facilitate the development of innovative products and services based on data intelligence and machine learning.

However, the availability of large sectoral datasets required, as an unavoidable prerequisite, an appropriate cross-cutting regulatory framework to establish the conditions for feasibility and security from a legal perspective. In this regard, once the reform of the regulation on the re-use of public sector information had been consolidated, with major innovations such as high-value data, the regulation on data governance was approved in 2022 and then, in 2023, the so-called Data Act. With these initiatives already approved and the recent official publication of the Artificial Intelligence Regulation, the promotion of data spaces is of particular importance, especially in the public sector, in order to ensure the availability of sufficient and quality data.

Data spaces: diversity in their configuration and regulation

The European Data Strategy already envisaged the creation of common European data spaces in a number of sectors and areas of public interest, but at the same time did not rule out the launching of new ones. In fact, in recent years, new spaces have been announced, so that the current number has increased significantly, as we shall see below.

The main reason for data spaces is to facilitate the sharing and exchange of reliable and secure data in strategic economic sectors and areas of public interest. Thus, it is not simply a matter of promoting large datasets but, above all, of supporting initiatives that offer data accessibility according to suitable governance models that, ultimately, allow the interoperability of data throughout the European Union on the basis of appropriate technological infrastructures.

Although general characterisations of data spaces can be offered on the basis of a number of common notes, there is a great diversity from a legal perspective in terms of the purposes they pursue, the conditions under which data are shared and, in particular, the subjects involved.

This heterogeneity is also present in spaces related to the public sector, i.e. those in which there is a prominent role for data generated by administrations and other public entities in the exercise of their functions, to which, therefore, the regulation on reuse and open data approved in 2019 is fully applicable.

Which are the European public sector data spaces?

In early 2024, the second version of a European Commission working document was published with the dual objective of providing an updated overview of the European policy framework for data spaces and also identifying European data space initiatives to assess their maturity and the main challenges ahead for each of them.

In particular, as far as public administrations are concerned, four data spaces are envisaged: the legal data space, the public procurement data space, the data space linked to the technical "once only" system in the context of eGovernment and, finally, the security data space for innovation. These are very diverse initiatives which, moreover, present an uneven degree of maturity, so that some have an advanced level of development and solid institutional support, while other cases are only initially sketched out and have considerable effort ahead for their design and implementation.

Let us take a closer look at each of these spaces referred to in the working paper.

1. Legal data space

It is a data space linked to legislation and jurisprudence generated by both the European Union and the Member States. The aim of this initiative is to support the legal professions, public administrations and, in general, to facilitate access to society in order to strengthen the mechanisms of the rule of law. This space has so far been based on two specific initiatives:

• One concerning information on officially published legislation, which has been articulated through the European Legislation Identifier-ELI. It is a European standard that facilitates the identification of rules in a stable and easily reusable way as it describes legislation with a set of automatically processable metadata, according to a recommended ontology.
• The second concerns decisions taken by judicial bodies, which are made accessible through an European system of unique identifiers called ECLI (European Case Law Identifier) that is assigned to the decisions of both European and national judicial bodies.

These two important initiatives, which facilitate access to and automated processing of legal information, have required a shift from a document-based management model (official gazette, court decisions) to a data-based model. And it is precisely this paradigm shift that has made it possible to offer advanced information services that go beyond the legal and linguistic limits posed by regulatory and linguistic diversity across the European Union.

In any case, while recognising the important progress they represent, there are still important challenges to be faced, such as facilitating access by specific precepts and not by normative documents or, among others, the availability of judicial documents on the basis of the rules they apply and, also, the linking of the rules with their judicial interpretation by the various judicial bodies in all States. In the case of the latter two scenarios, the challenge is even greater, as they would require the automated linking of both identifiers.

2. Public procurement data space

This is undoubtedly one of the areas with the greatest potential impact, given that in the European Union as a whole, it is estimated that public entities spend around two trillion euros (almost 14% of GDP) on the purchase of services, works and supplies. This space is therefore intended not only to facilitate access to the public procurement market across the European Union but also to strengthen transparency and accountability in public procurement spending, which is essential in the fight against corruption and in improving efficiency.

The practical relevance of this space is reinforced by the fact that it has a specific official document that strongly supports the project and sets out a precise roadmap with the objective of ensuring its deployment within a reasonable timeframe. Moreover, despite limitations in its scope of application (there is no provision for extending the publication obligation to contracts below the thresholds set at European level, nor for contract completion notices), it is at a very advanced stage, in particular as regards the availability of a specific ontology which facilitates the accessibility of information and its re-use by reinforcing the conditions for interoperability.

In short, this space is facilitating the automated processing of public procurement data by interconnecting existing datasets, thus providing a more complete picture of public procurement in the European Union as a whole, even though it has been estimated that there are more than 250,000 contracting authorities awarding public contracts.

3. Single Technical System (e-Government)

This new space is intended to support the need that exists in administrative procedures to collect information issued by the administrations of other States, without the interested parties being required to do so directly. It is therefore a matter of automatically and securely gathering the required evidence in a formalised environment based on the direct interconnection between the various public bodies, which will thus act as authentic sources of the required information.

This initiative is linked to the objective of addressing administrative simplification and, in particular, to the implementation of:

• Commission Implementing Regulation (EU) 2022/1463 of 5 August 2022 laying down the technical and operational specifications of the technical system for the automated cross-border exchange of evidence and the implementation of the "only once" principle.
• Regulation (EU) of the European Parliament and of the Council of 13 March 2024 laying down measures to ensure a high level of public sector interoperability throughout the Union (the Interoperable Europe Regulation), which aims to establish a robust governance structure for interoperability in the public sector.

4. Security data space for innovation

The objective here is to improve law enforcement authorities' access to the data needed to train and validate algorithms with the aim of enhancing the use of artificial intelligence and thus strengthening law enforcement in full respect of ethical and legal standards.

While there is a clear need to facilitate the exchange of data between Member States' law enforcement authorities, the working paper emphasises that this is not a priority for AI strategies in this area, and that the advanced use of data in this area from an innovation perspective is currently relatively low.

In this respect, it is appropriate to highlight the initiative for the development of the Europol sandbox, a project that was sponsored by the decision of the Standing Committee on Operational Cooperation on Internal Security (COSI) to create an isolated space that allows States to develop, train and validate artificial intelligence and machine learning models.

Now that the process of digitisation of public entities is largely consolidated, the main challenge for data spaces in this area is to provide adequate technical, legal and organisational conditions to facilitate data availability and interoperability. In this sense, these data spaces should be taken into account when expanding the list of high-value data, along the lines already advanced by the study published by the European Commission in 2023, which emphasises that the data ets with the greatest potential are those related to government and public administration, justice and legal matters, as well as financial data.

Content prepared by Julián Valero, Professor at the University of Murcia and Coordinator of the "Innovation, Law and Technology" Research Group (iDerTec). The contents and points of view reflected in this publication are the sole responsibility of the author.

Public sector bodies must make their data available for re-use, making it accessible in the form of open data, as referred to in Spain's legislative framework. The first step for this is that each entity, at local, regional and state level, as well as bodies, entities and trading companies belonging to the institutional public sector, establishes a unit responsible for ensuring that their information is made available. This unit will be in charge of promoting that the information is updated and provided in the appropriate open formats. It should also coordinate information re-use activities, as well as promotion, awareness raising and training on open data, among other functions.

Once it has been determined who is responsible for ensuring open data, it is time to put in place a plan of measures to promote openness and reuse of open data, so that all the actions to be developed are carried out in an orderly, coordinated manner and subject to a viable agenda for openness.

In order to help the responsible units in this task, datos.gob.es has prepared a template for the formulation of the Plan. The aim is to provide guidance on the different elements that such a plan should contain in order to draw up a feasible roadmap for data openness, as well as to enable its monitoring and evaluation.

The following infographic lists the categories included in the template, together with a brief definition (Click on the image to access the infographic).

Accessible version in word

When drawing up the plan, it is important that each of these categories is completed in as much detail as possible. You can download the template document below, which details all of these elements.

A document has also been prepared with guidelines on important issues for the development of the open data initiative that should be taken into account when defining the plan of measures to promote openness and reuse of open data. This includes guidance on:

• Data governance
• The regulatory framework for open data
• The most common conditions for re-use
• High value data
• Metadata to consider
• Measurement indicators for the evaluation and monitoring of an open data initiative.

Click on the button below each document to download it.

IMPaCT, the Infrastructure for Precision Medicine associated with Science and Technology, is an innovative programme that aims to revolutionise medical care. Coordinated and funded by the Carlos III Health Institute, it aims to boost the effective deployment of personalised precision medicine.

Personalised medicine is a medical approach that recognises that each patient is unique. By analysing the genetic, physiological and lifestyle characteristics of each person, more efficient and safer tailor-made treatments with fewer side effects are developed.  Access to this information is also key to making progress in prevention and early detection, as well as in research and medical advances.

IMPaCT consists of 3 strategic axes:

• Axis 1 Predictive medicine: COHORTE Programme. It is an epidemiological research project consisting of the development and implementation of a structure for the recruitment of 200,000 people to participate in a prospective study. 
• Strand 2 Data science: DATA Programme. It is a programme focused on the development of a common, interoperable and integrated system for the collection and analysis of clinical and molecular data. It develops criteria, techniques and best practices for the collection of information from electronic medical records, medical images and genomic data.
• Axis 3 Genomic medicine: GENOMICS Programme. It is a cooperative infrastructure for the diagnosis of rare and genetic diseases. Among other issues, it develops standardised procedures for the correct development of genomic analyses and the management of the data obtained, as well as for the standardisation and homogenisation of the information and criteria used.

In addition to these axes, there are two transversal strategic lines: one focused on ethics and scientific integrity and the other on internationalisation, as summarised in the following visual.

Source: IMPaCT-Data

In the following, we will focus on the functioning and results of IMPaCT-Data, the project linked to axis 2.

IMPaCT-Data, an integrated environment for interoperable data analysis

IMPaCT-Data is oriented towards the development and validation of an environment for the integration and joint analysis of clinical, molecular and genetic data, for secondary use, with the ultimate goal of facilitating the effective and coordinated implementation of personalised precision medicine in the National Health System. It is currently made up of a consortium of 45 entities associated by an agreement that runs until 31 December 2025.

Through this programme, the aim is to create a cloud infrastructure for medical data for research, as well as the necessary protocols to coordinate, integrate, manage and analyse such data. To this end, a roadmap with the following technical objectives is followed:

Source: IMPaCT-Data.

Results of IMPaCT-Data

As we can see, this infrastructure, still under development, will provide a virtual research environment for data analysis through a variety of services and products:

• IMPaCT-Data Federated Cloud. It includes access to public and access-controlled data, as well as tools and workflows for the analysis of genomic data, medical records and images. At this video shows how federated user access and job execution is realised through the use of shared computational resources. This allows for viewing and accessing the results in HTML and raw format, as well as their metadata. For those who want to go deeper into the user access options, please see this video another video where the linking of institutional accounts to the IMPaCT-Data account and the use of passports and visas for local access to protected data is shown.
• Compilation of software tools for the analysis of IMPaCT-Data. These tools are publicly accessible through the iMPaCT-Data domain  domain at bio.tools a registry of software components and databases aimed at researchers in the field of biological and biomedical sciences. It includes a wide range of tools. On the one hand, we find general solutions, for example, focused on privacy through actions related to data de-identification and anonymisation (FAIR4Health Data Privacy Tool). On the other hand, there are specific tools, focused on very specific issues, such as gene expression meta-analysis (ImaGEO).
• Guidelines with recommendations and good practices for the collection of medical information. There are currently three guides available: "IMPaCT-Data recommendations on data and software", "IMPaCT-Data additional considerations to the IMPaCT 2022 call for projects" and "IMPaCT-Data recommendations on data and software" .

In addition to these, there are a number of deliverables related to technical aspects of the project, such as comparisons of techniques or proofs of concept, as well as scientific publications.

Driving use cases through demonstrators

One of the objectives of IMPaCT-Data is to contribute to the evaluation of technologies associated with the project's developments, through an ecosystem of demonstrators. The aim is to encourage contributions from companies, organisations and academic groups to drive improvements and achieve large-scale implementation of the project.

To meet this objective, different activities are organised where specific components are evaluated in collaboration with members of IMPaCT-Data. One example is the oRBITS terminology server for the encoding of clinical phenotypes into HPO (Human Phenotype Ontology) aimed at automatically extracting and encoding information contained in unstructured clinical reports using natural language processing. It uses the HPO terminology, which aims to standardise the collection of phenotypic data, making it accessible for further analysis.

Another example of demonstrators refers to the sharing of virtualised medical data between different centres for research projects, within a governed, efficient and secure environment, where all data quality standards defined by each entity are met within a governed, efficient and secure environment, where all data quality standards defined by each entity are met.

A strategic project aligned with Europe

IMPaCT-Data fits directly into the National Strategy for the Secondary Use of National Health System Data, as described in the PERTE on health (Strategic Projects for Economic Recovery and Transformation), with its knowledge, experience and input being of great value for the development of the National Health Data Space.

Furthermore, IMPaCT-Data's developments are directly aligned with the guidelines proposed by GAIA-X both at a general level and in the specific health environment.

The impact of the project in Europe is also evidenced by its participation in the european project GDI (Genomic Data Infrastructure) which aims to facilitate access to genomic, phenotypic and clinical data across Europe, where IMPaCT-Data is being used as a tool at national level.

This shows that thanks to IMPaCT-Data it will be possible to promote biomedical research projects not only in Spain, but also in Europe, thus contributing to the improvement of public health and individualised treatment of patients.

Between 2 April and 16 May, applications for the call on aid for the digital transformation of strategic productive sectors may be submitted at the electronic headquarters of the Ministry for Digital Transformation and Civil Service. Order TDF/1461/2023, of 29 December, modified by Order TDF/294/2024, regulates grants totalling 150 million euros for the creation of demonstrators and use cases, as part of a more general initiative of Sectoral Data Spaces Program, promoted by the State Secretary for Digitalisation and Artificial Intelligence and framed within the Recovery, Transformation and Resilience Plan (PRTR). The objective is to finance the development of data spaces and the promotion of disruptive innovation in strategic sectors of the economy, in line with the strategic lines set out in the Digital Spain Agenda 2026. 

Lines, sectors and beneficiaries

The current call includes funding lines for experimental development projects in two complementary areas of action: the creation of demonstration centres (development of technological platforms for data spaces); and the promotion of specific use cases of these spaces. This call is addressed to all sectors except tourism, which has its own call. Beneficiaries may be single entities with their own legal personality, tax domicile in the European Union, and an establishment or branch located in Spain. In the case of the line for demonstration centres, they must also be associative or representative of the value chains of the productive sectors in territorial areas, or with scientific or technological domains. 

Infographic-summary

The following infographics show the key information on this call for proposals:

Would you like more information? 

• Access to the grant portal for application proposals in the following link. On the portal you will find the regulatory bases and the call for applications, a summary of its content, documentation and informative material with presentations and videos, as well as a complete list of questions and answers. In the mailbox espaciosdedatos@digital.gob.es you will get help about the call and the application procedure. From this portal you can access the electronic office for the application. 
• Quick guide to the call for proposals in pdf + downloadable Infographics (on the Sectoral Data Program and Technical Information)
• Link to other documents of interest:

  • Action plan for the deployment of data spaces by Data Office.

  • How to evaluate and design 'use cases' for data spaces: guides to ease the way 

• Additional information on the data space concept 

Data has become the great transforming power of society. Beyond the more mercantilist view, its capacity to generate knowledge, drive innovation and empower individuals and communities is undeniable. Indeed, it is a resource with which to address, from an innovative perspective, major environmental, social and health challenges, enabling collaboration between actors, driving innovation and improving accountability.

Following European guidelines such as the European Data Strategy, the challenge now is to promote the circulation of data for the benefit of all, by pooling data in key sectors with the creation of  common and interoperabledata spaces. A data space is an ecosystem where the voluntary sharing of its participants' data takes place within an environment of sovereignty, trust and security, established through integrated governance, organisational, regulatory and technical mechanisms. Data spaces are key to the development of the data economy, enabling access, exchange and legitimate re-use, positioning data as a non-rivalrous resource, whose utility grows as its use becomes more widespread, in a clear example of the network effect.

What are the Coordinated Support Actions (CSA)?

In order to foster the development of data spaces, the European Commission's Digital Europe Programme (DIGITAL) is funding a series of Coordinated Support Actions (CSA) to foster their development. Most of these actions have a funding of around one million euros per project and a duration of approximately one year, with an expected completion date in the fourth quarter of 2023. Their results should contribute to the objectives of the DIGITAL programme, which aims to bridge the gap between research and deployment of digital technologies, and to facilitate the transfer of research results to the market, to the benefit of European citizens and businesses, especially small and medium-sized ones.

Each concrete action focuses on a particular sector of economic activity seeking, based on a mapping of the data landscape of each sector concerned, to contact and connect relevant stakeholders, seeking to collaboratively develop a shared strategic roadmap. This shared roadmap ultimately aims to eventually build up the corresponding sectoral data spacesin subsequent phases. During the process, clear objectives and key results are defined to inspire, support and motivate all stakeholders to contribute and use high quality sectoral data as a basis for innovation and value generation.

In order to carry out this roadmap, a comprehensive inventory of existing platforms that already share relevant data has been drawn up. In addition, each CSA project has focused, through different working groups and stakeholder workshops, on developing recommendations on governance models for data spaces and digital business models for their sector. The aim is to identify key success factors and outline how a data space can create value and benefits not only for the sector in question but also for other sectors with which it is interlinked. In addition, plans to address the technical and organisational challenges that drive the use of interoperability standards are made in the different projects in close collaboration with the Data Spatial Support Centre (DSSC) in order to align with the European Technological Framework for Data Spaces.

Where can I find up-to-date information on CSAs?

Concrete information on the state of play of the different coordination and support actions can be found on their websites through the following links:

	DATES (Tourism)
	Tourism Data Space (Tourism)
	DS4SKills (Skills)
	PrepDSpace4Mobility (Mobility)
	AgriDataSpace (Agri-food)
	Great (Environmental)
	DataSp4ce (Industrial)
	DS4SSCC (Smarts Cities)

The outcome of these coordinated support actions will provide the information and the basis for the correct execution of the projects for the development and implementation (\"deployments\") of the Common European Data Spaces, which will be supported by different European programmes. This will catalyse the creation of a single data market, based on reliable and quality data, which will enable the digitisation of industries' value chains. Moreover, its effective development will support the European Union's objectives of achieving a green transition and a digital transformation, and of strengthening its resilience and strategic autonomy.