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.


Report: A Workflow Model for Curating Research Data

The University of Minnesota Libraries Publishes Report on Workflow Model for Curating Research Data

The report details the in-depth workflow that were developed to curate (appraise, ingest, arrange and describe, augment with metadata, transform file formats, disseminate for access, and preserve) research data using their existing (DSpace-based) tools and capacities. The report shares their Data Curation Pilot experience to outline overall successful cases and lessons learned in the discussion section.

The report is available at:

Sloan Foundation Awards ARL Grant to Develop SHARE for Access to Publicly Funded Research

Sloan Foundation Awards ARL Grant to Develop SHARE for Access to Publicly Funded Research

The Association of Research Libraries (ARL) has been awarded $50,000 from the Alfred P. Sloan Foundation to help develop the proposed SHared Access Research Ecosystem (SHARE). SHARE is a joint initiative of ARL, the Association of American Universities (AAU), and the Association of Public and Land-grant Universities (APLU) to collaboratively build a cross-institutional coordination framework for the long-term management and preservation of—and expansion of access to—the results of academic research. The initiative was made urgent by the February 22, 2013, memorandum from the US Office of Science and Technology Policy (OSTP) directing federal agencies to develop draft plans for the public deposit of research articles and data sets associated with federal funding.

Through SHARE, universities and their libraries aim to enhance the public discovery and reuse of articles and data that result from public funding. ARL has long worked to promote open access publishing as a means to spur innovation and advance science and research. “When the OSTP directive was issued, the ARL Board cheered,” said Elliott Shore, ARL executive director. “We are eager to engage with the university repository community, offices of sponsored research, and federal agencies directly to make this policy a success. The OSTP policy created a timely opportunity for the higher education community to better structure its strategies and systems for managing both data and publications. SHARE aims to take advantage of this opportunity to explore workflow solutions for research funded by federal agencies and, potentially, other funding bodies.”

More information about SHARE is available at:

Data Sharing & Results Reporting in Library Research

Practicing what we preach: Data sharing & results reporting in library research, Blog post by Kevin Reed

In his latest blog post, Kevin Read offers a brief literature review of library studies focusing on surveys of researchers’ data management and sharing behavior.

Recently I’ve been working on a survey of studies that focus on how libraries are reaching out to their institutions’ faculty and researchers about how they produce, share and store their data. Where I’m currently working we are trying to implement the same time type of research, but wanted to see what other libraries have done before launching into a project. I was even optimistic that some of the research I turned up might even give me the answers to our questions:

  • What type of data are biomedical researchers creating in a variety of disciplines?
  • Where do they stand in terms of sharing data?
  • How are they currently storing their data?

While I was pleased to find a number of articles that were excellent and exactly the type of research I was looking for (see the end of the post), I was ultimately disappointed in the content that I found. Let me explain the good first however, before I start with the bad.

To continue reading his blog post….

New Federal Guidelines Are Coming | University of Virginia Library

What’s Next?

Many of us have been waiting for forthcoming announcements from different government funding agencies in response to the OSTP’s Memo that was released in February 2012. The Data Management Consulting Group at the the University of Virginia Library has created a useful web page about this news. 

Researchers, did you know that there are changes coming that will require the results of your federally funded research (including not only the publications, but also the data) to be made publicly available?

It has been 6 months since the White House Office of Science and Technology Policy released their memorandum on “Increasing Access to the Results of Federally Funded Scientific Research”: Federal granting agencies with budgets over $100M were required to submit their plans to enable increased public access to the results of publicly funded research by August 22. This directive expands upon steps the NIH and NSF have taken in recent years, requiring open access for publications from funded projects (NIH) and data management plans (NIH/NSF). However, this new directive goes beyond these measures (particularly in the area of access to data), and it will affect at least 20 additional federal funding agencies. We will likely see the effects beginning with program proposals in late 2013 or early 2014.

To continue reading…

Research Data Management Services, SPEC Kit Published by ARL

ARL Published Research Data Management Services, SPEC Kit #334

This SPEC Kit surveys ARL member libraries on their activities related to access, management, and archiving of research data at their institutions. The survey explores the organization of research data management services (including a few questions on broader data support services), how they are staffed and funded, and what services they offer and to whom, among other questions.

The SPEC Kit includes examples of research data policies, data retention policies, data management plan tools, job descriptions, data needs assessment tools, data archive web pages, and staff resources. The SPEC Kit available at:

Data Management Overview Training for Librarians | Harvard University

The Research Data Management Overview Training for Librarians

On July 9th, Harvard University offered the training program targeted to all librarians, archivists, records managers, and IT staff who interact with researchers/faculty in managing data in all aspects of the research life cycle. This was an opportunity for individuals and units at Harvard to meet, network and learn from each other.

Below you can find the presentation slides and handouts from the training session:

  1. Michael Leach, Research Data Management Overview RDC_Intro_ML_PPT_2013-07-09.pdf
  2. Skip Kendall, Archives, Records, Management and Data RDC_SK_PPT_2013-07-09.pdf
  3. Susan Gomes, Overview of FAS Research Development: Research Support Services RDC_RAS_SG_PPT_2013-07-09.pdf
  4. FAS Guidance on NSF Data Management Plans (handout) RDC_RAS_NSF_DMP_Handout_2013-07-09.pdf
  5. Data Management – Legal and Policy Issues Links (handout) RDC_LegalAndPolicyIssuesLinks_Handout_2013-07-09.pdf
  6. Data Management Plan: Questions to Consider (handout) RDC_DMP_Questions_Handout_2013-07-09.pdf
  7. Getting Started with the Harvard Dataverse Network (handout):
  8. Harvard Dataverse Network Features (handout):