Tag Archives: data

Three data organizations announce a collaboration to start in 2015

See “DataCite, re3data.org, and Databib Announce Collaboration” from the re3data.org website.

Databib and “re3data.org – Registry of Research Data Repositories” are pleased to announce their plan to merge their two projects into one service that will be managed under the auspices of DataCite by the end of 2015. Their joint proposal to the DataCite General Assembly was approved today, in advance of the 3rd Plenary Meeting of the Research Data Alliance (RDA) in Dublin, Ireland.

The aim of this merger is to reduce duplication of effort and to better serve the research community with a single, sustainable registry of research data repositories that incorporates the best features of both projects.

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Video data-sharing library developmental science established

In the largest open-source video-data sharing project of its kind, behavioral researchers, digital library scientists and computer scientists are undertaking the creation of Databrary, a web-based video-data library sponsored by the National Science Foundation and the National Institutes of Health.

http://news.psu.edu/story/280713/2013/07/02/research/video-data-sharing-library-developmental-science-established

Research Data Collaborative launched at Harvard Library

Harvard Staff to launch program offering training and workshops on topics including data security, storage, archiving, preservation and curation.

http://www.infodocket.com/2013/05/28/harvard-library-launches-research-data-collaborative/

Collaboration, scientific data discovery, use, and reuse.

This article came from the April/May 2013 issue of the Bulletin of the Association for Information Science and Technology.

Collaborative Annotation for Scientific Data Discovery and Reuse” by Kirk Borne

The enormous growth in scientific data repositories requires more meaningful indexing, classification and descriptive metadata in order to facilitate data discovery, reuse and understanding. Meaningful classification labels and metadata can be derived autonomously through machine intelligence or manually through human computation.

This issue also has many articles concerning altmetrics. Heather Piwowar has a great introduction to the special issue.

IMLS grant supports library-faculty collaboration

Librarians and faculty from Cornell, Purdue, University of Minnesota and the University of Oregon are working together to help grad students master data-management skills.

“Starting in graduate school, students begin compiling mountains of research data — but they often have no formal training in how to efficiently keep track of it, share it or organize it so that it can be preserved and used in the future.”

http://www.gradschool.cornell.edu/news/library-faculty-collaboration-helps-grad-students-conquer-data

ACRL webinar this afternoon: Collaborative Data Management Services

The ACRL Digital Curation Interest (DCIG) Group is pleased to announce the following webinar, to take place Wednesday, Dec. 5, at 3-4 PM Eastern / 2-3 PM Central / 12-1 PM Pacific:

Presentation: Collaborative Data Management Services at the University of California

Please note: Participation is first come, first served – up to 100 participants, maximum. Also, this webinar is free – no registration required; it will be recorded; and the PPT file will be made available via the DCIG’s ALA Connect site.

Presenters

– Joan Starr, EZID Service Manager and Manager, Strategic and Project Planning (California Digital Library)

– Perry Willet (Digital Preservation Service Manager (University of California Curation Center [UC3], California Digital Library)

– Claudia Horning, Head, Metadata Team (UCLA Library and Cataloging Metadata Center)

– Lisa Federer, Health and Life Sciences Librarian (UCLA Louise M. Darling Biomedical Library)

URL for webinar: http://ala.adobeconnect.com/acrldcigdec2012/

Academic Libraries, Research Data Services, and Collaboration

The report noted below came out way back in June, but it was just recently blogged about at the ACRL Insider website.

Here is the full PDF for “Academic Libraries and Research Data Services: Current Practices and Plans for the Future: An ACRL White Paper” by Carol Tenopir, Ben Birch, and Suzie Allard.

Executive summary
As science becomes more collaborative, data-intensive, and computational, academic researchers are faced with a range of data management needs. Combine these needs with funding directives that require data management planning, and there is both a need and an imperative for research data services in colleges and universities. Academic libraries may be ideal centers for research data service activities on campuses, providing unique opportunities for academic libraries to become even more active participants in the knowledge creation cycle in their institution. Recently the academic library community has identified data curation as one of the top ten trends in 2012. Some academic libraries are already engaged in these activities, and others are examining ways they can best provide a range of research data services.