November 18 – 21 , 2018, Dagstuhl Perspectives Workshop 18472

Implementing FAIR Data Infrastructures


Natalia Manola (University of Athens, GR)
Andrea Scharnhorst (Royal Netherlands Acad. of Arts & Sci. – Amsterdam, NL)
Klaus Tochtermann (ZBW-Leibniz-Informationszentrum Wirtschaft – Kiel, DE)
Peter Wittenburg (Max Planck Computing and Data Facility – Garching, DE)


Peter Mutschke (GESIS – Köln, DE)
Guido Scherp (ZBW-Leibniz-Informationszentrum Wirtschaft – Kiel, DE)

For support, please contact

Annette Beyer for administrative matters

Shida Kunz for scientific matters


List of Participants
Shared Documents
Dagstuhl Perspectives Workshop Schedule [pdf]


“Open Science” reflects a fundamental paradigm shift in making scientific research more accessible and reusable. The Open Science movement has recently gained a strong momentum worldwide with an increasing demand for reliable and sustainable research data infrastructures that enable researchers to cooperate on data and share results. On the European level, for example, the European Open Science Cloud is being developed. In this context the so-called FAIR principles seem to become a common and widely accepted conceptual basis for future research data infrastructures.

These principles describe the core characteristics of data use, but they do not define or suggest any technological implementations. Thus, there is still a great lack of models, infrastructures and services available showing how FAIR research data infrastructures can be implemented. Computer science can greatly contribute to this important field.

The interdisciplinary Dagstuhl Perspectives Workshop “Implementing FAIR Data Infrastructures” aims at bringing together computer scientists with digital infrastructure experts from different domains. The central goal is to discuss the key elements required for the transition of scientific e-infrastructures and services to Open Science from the perspective of computer science as well as from different stakeholder perspectives. The workshop will discuss requirements, common mechanisms, and best practices for FAIR data management platforms and services, with a particular focus on innovative tools and methods for sharing research data and on principles of how research data can be represented in an interoperable way to foster linking and reusing data across community borders.

The Workshop will publish a manifesto of recommendations and an inventory of tools & services for implementing FAIR data principles and other targeted aspects of Open Science in future research data infrastructures and data management services. It will further shape the role that the field of computer science has to play in advancing Open Science practices.

  Creative Commons BY 3.0 DE
  Peter Mutschke, and Guido Scherp


  • Data Bases / Information Retrieval
  • Semantics / Formal Methods


  • Open Science
  • Open Data
  • FAIR principles
  • Research Data Infrastructures

Book exhibition

Books from the participants of the current Seminar 

Book exhibition in the library, ground floor, during the seminar week.


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


Download overview leaflet (PDF).


Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.

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