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| High-Level Group on Scientific Data | |
|---|---|
| Name | High-Level Group on Scientific Data |
| Formation | 2015 |
| Type | Advisory body |
| Headquarters | Brussels |
| Region served | International |
| Leader title | Chair |
| Parent organization | European Commission |
High-Level Group on Scientific Data is an advisory body convened to coordinate policy on research data across international institutions, agencies, and stakeholders. It brings together representatives from the European Commission, United Nations Educational, Scientific and Cultural Organization, Organisation for Economic Co-operation and Development, World Health Organization, and national research councils to advise on data governance, interoperability, and infrastructure. The Group interfaces with bodies such as the European Research Council, Horizon 2020, Horizon Europe, European Open Science Cloud, and multinational research projects to harmonize standards and practices.
The Group was established in response to initiatives from the European Commission, recommendations from the G7 science ministers, and strategic reports by the Organisation for Economic Co-operation and Development and the United Nations Secretary-General's science advisory panels. Its founding drew on precedents including the Royal Society reports, the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities, and national strategies from the United Kingdom Research and Innovation, French National Centre for Scientific Research, and German Research Foundation. Early convenings involved stakeholders from the National Institutes of Health, National Science Foundation (United States), Japan Science and Technology Agency, and the Canadian Institutes of Health Research.
The mandate included advising the European Commission and partner organizations on policies consistent with the Budapest Open Access Initiative, the FAIR Guiding Principles for scientific data management and stewardship, and interoperability frameworks used by the Global Biodiversity Information Facility. Objectives targeted enhancement of data sharing across projects like the Human Genome Project, Square Kilometre Array, and Large Hadron Collider, while aligning with norms from the World Health Organization during public health emergencies. The Group sought to reconcile standards from the International Organization for Standardization, recommendations from the Committee on Data (CODATA), and legal frameworks influenced by the General Data Protection Regulation and rulings of the European Court of Justice.
Members were drawn from national ministries such as the Ministry of Science and Technology (China), the US Office of Science and Technology Policy, and agencies like the Wellcome Trust, Bill & Melinda Gates Foundation, European Space Agency, National Aeronautics and Space Administration, and research universities including University of Oxford, Massachusetts Institute of Technology, University of Tokyo, and Peking University. Governance included chairs sourced from institutions like the Royal Society, Max Planck Society, Chinese Academy of Sciences, and the Indian Council of Medical Research, with secretariat support from the European Commission and liaison roles with the G20 science working groups, the World Bank research arms, and the International Monetary Fund data initiatives.
The Group produced frameworks for initiatives such as integration with the European Open Science Cloud, coordination with the Global Research Council, and pilot projects linking infrastructures like the European Grid Infrastructure and the Open Science Grid. It supported domain-specific platforms including ELIXIR, CLARIN, CERN data portals, and the Global Alliance for Genomics and Health. Activities included workshops with the Wellcome Trust, policy dialogues with the Bill & Melinda Gates Foundation, technical collaborations with the Internet Engineering Task Force, and capacity building in partnership with the African Union, Association of Southeast Asian Nations, and Organisation of American States.
The Group issued policy recommendations addressing adoption of FAIR Guiding Principles for scientific data management and stewardship, guidance on data stewardship akin to reports by the Royal Society, and interoperability standards referencing work by the World Wide Web Consortium and the International Organization for Standardization. Reports recommended harmonized metadata schemas drawing on models from Dublin Core, ISO 19115, and domain ontologies used by Gene Ontology and SNOMED CT. Policy outputs influenced instruments like the European Research Council grant conditions, national funder mandates at agencies such as the National Institutes of Health, and data sharing clauses used by pharmaceutical consortia modeled after collaborations like the COVID-19 Clinical Research Coalition.
The Group's outputs were cited by the European Commission, referenced in policy debates at the G7 Summit, and considered in advisory briefings to the United Nations General Assembly and the World Health Assembly. Its recommendations influenced adoption of open data mandates by funders including the Wellcome Trust and National Science Foundation (United States), informed technical roadmaps at CERN and ELIXIR, and guided national strategies adopted by the Government of Canada, Government of Australia, and Federal Ministry of Education and Research (Germany). Reception among stakeholders ranged from endorsement by the Open Knowledge Foundation to cautious uptake by industry groups such as the Pharmaceutical Research and Manufacturers of America.
Critics from institutions like Amnesty International and privacy advocates cited tensions with the General Data Protection Regulation and national privacy laws, while some research organizations including parts of the European University Association flagged concerns about implementation costs and equity for lower-income institutions such as universities in the Global South. Technical challenges involved interoperability across standards promoted by the World Wide Web Consortium, Internet Engineering Task Force, and legacy systems at organizations like the National Center for Supercomputing Applications. Debates with think tanks such as the Brookings Institution and policy labs at the Bertelsmann Stiftung highlighted trade-offs between openness advocated by proponents like the Open Knowledge Foundation and proprietary interests represented by trade associations such as the Biotechnology Innovation Organization.
Category:International scientific organizations