Libraries’ New Role in Research Data Management: The Case of Denmark

Academic libraries and RDM: Current trends and visions in Denmark

Research libraries’ new role in research data management has been widely discussed around the world. In the following article in LIBER Quarterly, F. Kruse and J. B. Thestrup discuss current trends and visions in Denmark.

This paper presents the findings of a research project carried out under the auspices of DEFF (Danmarks Elektroniske Fag- og Forskningsbibliotek — Denmark’s Electronic Research Library) to analyse how the Danish universities store, preserve and provide access to research data. It shows that they do not have a common IT-infrastructure for research data management. This paper describes the various paths chosen by individual universities and research institutions, and the background for their strategies of research data management. Among the main reasons for the uneven practices are the lack of a national policy in this field, the different scientific traditions and cultures and the differences in the use and organization of IT-services.

You can find a full text of this article here.

RDA Term Collection Wiki

Did you know RDA (Research Data Alliance) has a semantic wiki? 

The RDA Foundation and Terminology Working Group has been exploring the RDA Term Collection Wiki (Semantic Mediawiki application). You can use this wiki to learn definitions and meaning of data-related terms. You can help building this wiki by adding categories and terms.

Horizon 2020 Research Infrastructures

Draft Horizon 2020 Work Programme 2014-2015 in the area of “European research infrastructures (including e-Infrastructures)” now available

For those interested, the “Research Infrastructures” draft work programme is now available. Themes that might be of particular interesting to our DF site visitors include:

  • EINFRA-1-2014 – Managing, preserving and computing with big research data: including “Services to ensure the quality and reliability of the e-infrastructure, including certification mechanisms for repositories and certification services to test and benchmark capabilities in terms of resilience and service continuity of e-infrastructures;”
  • EINFRA-2-2014 – e-Infrastructure for Open Access: including “Developing proof of concept and prototyping new services in support of open science (e.g. new forms of publishing, innovative services based on data mining, new forms of peer review etc.), assisting researchers and educators in everyday tasks”
  • EINFRA-3-2014 – Towards global data e-infrastructures – Research Data Alliance
  • INFRASUPP-4-2015 – New professions and skills for e-infrastructures: “Formal education for emerging professions of e-infrastructure operators, research technologists (including those possessing computational skills, e.g. in parallel programming), data scientists or “data librarians” hardly exists today. Professional recognition of these communities and the development of appropriate curricula, training and skills are crucial to ensure effective services to institution staff and students.”

UK Government Report: Seizing the Data Opportunity

UK data capability strategy: seizing the data opportunity

The UK Government has recently published a new report Seizing the data opportunity, which outlines the government’s strategy for UK data capability. The report highlights the need to increase training in data analytics and data science, and announces what promises to be a landmark event next year – an Open Science Data Forum hosted by the Royal Society.

A brief summary of the report and a pointer to the full document is at:

Research Data Management: Principles, Practices, and Prospects | CLIR

CLIR Publishes a new report on Research Data Management: Principles, Practices, and Prospects

This report examines how research institutions are responding to data management requirements of the National Science Foundation, National Institutes of Health, and other federal agencies. It also considers what role, if any, academic libraries and the library and information science profession should have in supporting researchers’ data management needs.

The report (in PDF) is available from:

The Role of Data Reuse in the Apprenticeship Process

The Role of Data Reuse in the Apprenticeship Process

A new paper, written by Adam Kriesberg, Rebecca D. Frank, Ixchel M. Faniel and Elizabeth Yakel, “The Role of Data Reuse in the Apprenticeship Process” describes how data reuse provides a pathway to internalizing disciplinary norms and methods of inquiry for novice quantitative social scientists, archaeologists and zoologists on their way to becoming members of their respective disciplinary communities.


The availability of research data through digital repositories has made data reuse a possibility in a growing number of fields. This paper reports on the results of interviews with 27 zoologists, 43 quantitative social scientists and 22 archaeologists. It examines how data reuse contributes to the apprenticeship process and aids students in becoming full members of scholarly disciplines. Specifically, it investigates how data reuse contributes to the processes by which novice researchers join academic communities of practice.

The paper will be published in the forthcoming ASIS&T 2013 Annual Meeting Proceedings. A preprint [pdf] is currently available online at:

Research Data Management and the History of Science

Research Data Management and the History of Science

There’s an interesting report from the History of Science Society that looks at the question of how historians of science, as opposed to scientists in various disciplines, need to be represented in efforts to make decisions about the curation and retention of research data, using the context of the recent US Federal government efforts to open up government-produced and government-funded research data.

The report is available at: