Data@MLibrary Blog

Updates from the Research Data Services Team at the University of Michigan Library

Recently, the RDS team has launched its blog site, Data@MLibrary, in order to provide an update on how the University of Michigan Library has been extending its current mode of research support to encompass the management, sharing, and preservation of research data. The team aims to give a bi-weekly update. The most recent blog post draws your attention to examples of how subject specialists continue to engage with the UM research community by extending their support for research and offering resources and consulting services in data management.

Data Access for the OA Literature: PLOS’s Data Policy

PLOS’s Data Policy coming into effect soon, March 2014

PLOS journals have requested data be available since their inception, but PLOS believes that providing more specific instructions for authors regarding appropriate data deposition options, and providing more information in the published article as to how to access data, is important for readers and users of the research it publishes. As a result, PLOS is now releasing a revised Data Policy that will come into effect on March 1, 2014, in which authors will be required to include a data availability statement in all research articles published by PLOS journals.

PLOS is still accepting input from the larger community of authors, researchers, patients, and others. You can find a revised Data Policy here. For public comments, you can contact individual PLOS journals or may directly contact at data@plos.org

 

Practice Safe Science: Five Reasons to Protect Your Scientific Data

As data output grows, effective data management is only going to get more difficult

Research data management is quickly becoming one of the most pressing issues facing the scientific community, not just for university management teams, but for every individual researcher. In his blog post, Nathan Westgarth elaborates on the points presented and on how the research process can be made more efficient through the better use of technology.

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.

Survey Research on Data Publication Practices and Perceptions by CDL

Asking researchers what they would expect and want from a data publication

The California Digital Library has opened a survey of researcher perceptions and practices around data publication. The library community has been productively discussing these issues for some time. The CDL research team hopes to contribute by asking researchers directly what they would expect and want from a data publication.

You can find more information about the CDL survey research here and take a survey.

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.

Opening up Open Data: An Interview with Tim O’Reilly

Today we find ourselves in the midst of an open data revolution

How do you define ‘open data’? Open data is data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike.” This is how OKFN defines open data.  

In this short video, Tim O’Reilly talks about the value of openness, the definition of open data, as well as the meaning of open data. 

Here is the link to interview transcript and video (6:49).