INESData consolidates its collaboration with HARNESS by actively participating in its first training workshop, the 1st HARNESS Training Workshop, held from December 1-5 at the Lucas Olazábal Residence in Cercedilla (Madrid).
HARNESS is a program funded by the European Union under the Marie Skłodowska-Curie Actions, dedicated to training an international group of 13 doctoral researchers with backgrounds in law, ethics, and computer science. Its objective is to jointly address the technical, legal, and ethical challenges arising from the proliferation of data-intensive systems and AI.
INESData participated on Day 2, within the session dedicated to "Knowledge Representation, Data Spaces and Risk Assessment", delivering its presentation "Introduction to Data Spaces: INESData"
Thanks to the extensive experience gained throughout the project, INESData contributes to contextualizing the technical, regulatory, and ethical challenges associated with Data Spaces, offering a clear vision of their evolution and maturity in Europe. During the session, discussions also addressed the key actors driving the European data ecosystem, the European Data Strategy, and the different layers of interoperability—technical, semantic, organizational, and legal—necessary to ensure safe, efficient data exchange aligned with regulation.
Collaboration with HARNESS is a further step in creating synergies between research, technology, and regulation, where INESData contributes its expertise in data infrastructures, vocabularies, data intelligence, and data governance. HARNESS integrates law, ethics, and computer science to develop data ecosystems that are interoperable and aligned with European regulation, drives the operationalization of data and AI regulations, and will train 13 researchers who will contribute to the future of the European data ecosystem.
INESData participates in the EU Language Data Space Country Workshop in Spain
This week, INESData strengthened its international presence by participating simultaneously in two key events for language data and language technology.
Gómez took part in the panel dedicated to Language Data and Language Technologies, moderated by Maite Melero. In his presentation, he raised several key reflections on the state of the linguistic ecosystem: the European infrastructure —with data marketplaces such as ELDS, ELG, INESData or LLMs4EU and resources like CLARIAH-ES, ILENIA, ALIA or TERESIA— is already created or in advanced stages; however, its adoption requires shared vision, coordination and new business models for language data providers.
He also emphasized the need for companies to have clear KPIs that justify the effort in investment, technical adaptation and regulatory compliance, and pointed out several strategic tensions: competition with direct data sales, the role of large technology providers, and the importance of understanding participation in the LDS not only as an economic decision but also as a strategic one in terms of digital sovereignty, where public administration plays a fundamental role as funder and data provider.
The workshop, organized by the European Language Data Space and the Barcelona Supercomputing Center (BSC), brought together experts from industry, public administration and research to analyze the fundamental role that language data play in the development of AI-based tools and the consolidation of a European data ecosystem that is interoperable and trustworthy.
With this dual presence in Barcelona and Arequipa, INESData reaffirms its commitment to advancing European linguistic infrastructure and to promoting research and innovation in language technologies.
INESData participates in the International Congress of the Spanish Language in Arequipa
The INESData team participated in the 10th International Congress of the Spanish Language (CILE), held this year in Arequipa (Peru), promoting both the INESData project and the European Data Strategy.
Elena Montiel, INESData coordinator, moderated the session “Artificial intelligence as co-author. Creative interactions between humans and machines”, where she highlighted the fundamental role of data spaces as enablers of AI-based applications and, in particular, large language models (LLMs). She explained that these models owe their capabilities to the availability of large volumes of data and are a clear example of how responsible, structured access to data drives technological innovation.
During her talk, Elena reflected on how digital technologies have transformed the way we live and create, generating a “digital version of the world” in which data becomes a raw material for innovation. She also emphasized the importance of ensuring the responsible, truthful, and lawful use of data, as well as the need to promote open, interoperable, and sustainable ecosystems that boost the new data economy in Europe and the Spanish-speaking world.
Other INESData team members also participated actively in the congress. Óscar Corcho spoke in the session “The use of artificial intelligence in teaching the Spanish language”, while Víctor Rodríguez took part in the panel “Ethics and responsibility in the application of artificial intelligence to language”, contributing the project's perspective on the responsible and sustainable development of these technologies.
INESData's participation in this important international forum reinforces its commitment to promoting a data culture and highlighting the role of European data spaces in innovation and competitiveness.
We are launching a new videos section at INESData. You can now explore on our website a new space full of demos and presentations that directly and visually showcase some of the services we offer in the Data Spaces. It's a quick way to discover how we work and what solutions we are developing.
The project arises from the experience of INESData, where limitations were identified in a key aspect: the semantic interoperability of data, both within the same sector and across different sectors. These barriers hinder the deployment of all the necessary functionalities in data spaces, making it essential to develop new components that enhance their value.
To overcome these challenges, PIONERA will develop three new key components: an Ontology Hub for the management of ontologies and vocabularies, a Semantic Virtualizer aimed at data enrichment, and an AI Model Catalog that will enable the search, selection, and use of artificial intelligence models in data spaces.
With all this, PIONERA will enrich the INESData data incubator, boosting semantic interoperability and facilitating the application of artificial intelligence solutions in collaborative environments.
At INESData, we present a new video (Spanish only) explaining how the legal data space developed in the project aims to transform legal analysis in our country through the use of artificial intelligence technologies and natural language processing (NLP).
The INESData project promotes a collaborative environment where public institutions, companies, and research centers share data securely and reliably, even when dealing with sensitive or confidential data. This has enabled the development of innovative solutions applied to the legal field. Thanks to advanced NLP techniques, new possibilities are opening up to automate document analysis, improve legal decision-making, and make legal information more accessible to professionals and citizens.
🎥 You can watch the full video here:
🔗 Video link.
📝 If you want to learn more about the project, we invite you to read the article published on the blog of the Instituto de Ingeniería del Conocimiento (IIC):
🔗 IIC Blog.
The INESData project recently held a technical workshop focused on the use of the INESData Connector, a key tool for interaction in federated and secure data spaces.
During the session, an introduction to the INESData system was presented, explaining its logical architecture, authentication, and main functionalities of the Connector Interface, such as the management of vocabularies, assets, policies, contracts, federated catalogs, and resource transfers.
The platform is developed on Eclipse Dataspace Connector (EDC), ensuring its alignment with European interoperability standards. The workshop allowed participants to practically explore the system's capabilities for reliable data exchange between organizations.
On March 19, 2025, in Villers-Cotterêts, France, the EU LDS Launch Conference was held, where INESData participated by sharing its vision as a user of the Common European Language Data Space (LDS).
Following the technical presentation by INESData, José Manuel Gómez Pérez (Expert AI, INESData) discussed the challenges and perceived benefits. He highlighted the difficulty of accessing data across multiple sectors due to corporate silos and the need for a more interoperable environment.
INESData emphasized the potential of the LDS to improve the management of linguistic data in artificial intelligence and advocated for common standards to facilitate its adoption across various industries.
We announce the publication of the Corpus of Contractual Clauses in Spanish Legal (3CEL), a reference resource in the field of Natural Language Processing (NLP) applied to contractual law in Spanish. This corpus has been developed by the Instituto de Ingeniería del Conocimiento (IIC) within the context of the INESData project, a project coordinated by the Universidad Politécnica de Madrid (UPM).
3CEL is a corpus of contractual information extraction data that contains 373 manually annotated tenders with 19 defined categories, totaling 4,782 labels. This resource is essential for understanding and reviewing contracts and legal documents, enabling a structured classification of their content.
The development of 3CEL involved a rigorous process that included data collection, label definition, transcription and text cleaning, anonymization, and annotation of documents obtained from the Spanish Public Sector Procurement Platform. These contracts correspond to tenders executed in the Community of Madrid between
This past October 26, the project, challenges and objectives were presented at the >European Big Data Value Forum (EBDVF) during the session "Data Spaces Roadmap and Future Programme". This is an incredible opportunity to share our vision and progress in creating interoperable and secure data spaces in Spain and its impact in Europe.
You can find more information about the event in the following link.
E4 deliverable published. Preliminary version of the handbook.
Advances in technology and artificial intelligence (AI) have highlighted the importance of data. Currently, it is very common to use deep learning techniques, Machine Learning in English, for the creation of systems and services. Such techniques need to use a certain amount of data; Furthermore, depending on the quantity and quality of the data used, the system obtained will be of greater or lesser quality.
This practical guide aims to present the data spaces created in the INESData incubator and explain the creation process so that those interested in developing data spaces can have a practical reference. Given that the project is still in its early phases, this version of the guide will focus, above all, on explaining what data spaces are as well as analyzing the different international initiatives that serve as a reference.
You can find the link and download the document in the following link.
