Susan Reilly

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31 Oct 2016

Susan Reilly

Executive Director of LIBER, the Association of European Research Libraries


Susan Reilly is the Executive Director of LIBER, the Association of European Research Libraries. She is also a member of the Research Data Alliance Advisory Board. Since joining LIBER she has been active in the areas of data sharing policy and infrastructure, digitisation, open access, text and data mining, and Open Science. 

An Open Science and copyright reform advocate, she was a co-author or the LERU Roadmap for Research Data and helped lead the work to develop the Hague Declaration on Knowledge Discovery in the Digital Age.

When: Day 1 - 14th November, Session 2: Setting the Context

Collaborate to Share

Abstract. Why share data? For many researchers the answer to this question may simply be because their funders mandate it. Increasingly funders demand that the data underlying research publications be made publically available, that data management plans are submitted at the start of the research process, and that research data are FAIR and open. This policy trend is a positive development and a reflection of the growing notion of research data as a public good.
Data as a public good is certainly something that has been recognised at European level e.g. in the Amsterdam Call for Action and the Council of Europe Conclusions on the Transition Towards an Open Science System. This is already manifesting itself in the development of data infrastructure and in national initiatives and policies to encourage FAIR data. It is also important that the benefits of FAIR and open data be understood and discussed by research stakeholders such as researchers, institutions and support services. Only by working together towards a common vision can barriers to open data be identified and overcome. The recent LIBER survey of research data management services in European research libraries shows that libraries have a strong and growing profile in research data management. It also shows that whether working on polices, infrastructure, training or services collaboration will be key to achieving the vison of FAIR data.


Collaborate to Share from Research Data Alliance


When: Day 1 - 14th November, Session 5: Reuse and reproducibility: challenges and solutions

Panel discussion