About Federated Research Data Infrastructures (FRDI) : Knowledge Exchange Report (2017)

Report details: The evolving landscape of Federated Research Data Infrastructures (DOI: 10.5281/zenodo.1064730; all content published can be shared according to CC BY 4.0)

This report, commissioned from Knowledge Exchange (KE), is an overview and synthesis of the evolving landscape of Federated Research Data Infrastructures (FRDIs) in the six KE partner countries: Denmark, Finland, France, Germany, the Netherlands and the United Kingdom. 

The fieldwork and study underlying the report were undertaken by InformAll CIC during the first half of 2017, on the basis of interviews with experts from a range of organisations that run federated infrastructures in the respective countries.

Federated Research Data Infrastructures (FRDI)

Federated Research Data Infrastructures (FRDI) is an infrastructure where a range of distributed services – focused on the actual demands of research – are coordinated by an overarching level, with the aim of providing a potentially seamless access to research data and tools.

Federal approach offers researchers easy points of entry into complex, constantly-shifting infrastructure ecosystems.

To better understand what ‘federated’ means, its features and how to address outstanding challenges, you might be interested to take a look at:

FRDIs can apply to all research disciplines, including physical sciences, life/health sciences, environmental sciences and humanities; they may also be multidisciplinary. Disciplines carry their individual characteristics, e.g. sensitivity and confidentiality of research data, which have a considerable impact on the nature of the federation.

Some FRDIs recognise importance of a holistic approach to their service offer, articulated around the entire research data life cycle.

Other factors that FRDIs address include AAI (authentication, authorisation, identification), with the legal issues that this raises; usability/interoperability; data standards; security; ethical and legal issues, particularly where sensitive data is involved; sharing and linking; and openness

To lean more:

  • Which FRDIs were interviewed for the report,
  • Which are the main drivers for federating RD infrastructures and services ?
  • What are the expected benefits?
  • What are the consequences for research and researchers?
  • What challenges and issues arise when making a federated research data infrastructure function well?',

please take a loot at a brief overview (by Dr Matthias Katerbow and Dr Stefan Winkler-Nees, - both from Deutsche Forschungsgemeinschaft, DFG/ German Research Foundation) of the report's contents published on ZBW Mediatalk

Related content: 

Report on Business Models for Sustainable Research Data Repositories (OECD & CODATA, 2017)

Göttingen-CODATA RDM Symposium 18-20 March, 2018. Call for Papers DEADLINE for Call for abstracts and other contributions ! 22  DECEMBER  2017

Invitation to the INTEREST GROUP in AGRICULTURAL DATA (IGAD) RDA Pre-Meeting P11 “The FAIR principles to all elements of the research process in agricultural sciences and related disciplines" (19-20 March, 2018, Berlin, Germany). Proposals are invited by 19 January 2018

2 February 2018 : Deadline for Session Proposals for SciDataCon 2018: The Digital Frontiers of Global Science (5-8 November 2018 in Gaborone, in Botswana as part of International Data Week convened by CODATA, the ICSU World Data System and the Research Data Alliance)

LIBER, within the framework of the European Open Science Cloud for Research pilot project (EOSCpilot), is organising the workshop (19 February 2017) : “How Research Institutions and Libraries can help deliver the European Open Science Cloud” during the IDCC18 Conference to take place in Barcelona 19-22 February 2018

Scholarly Communication, Digital Skills & Services and Research Infrastructure : LIBER Strategy (2018-2022)

Technical Recommendations of the COAR Next Generation Repositories Working Group (2017)  

ORCID : Connecting Research & Researchers : Distinguish Yourself in Three Easy Steps

Open & Big Data : shifts in roles, power relations, quality and knowledge integration


Add comment

Log in or register to post comments