Libraries On overview of Data Activities at Purdue University in response to Data Management Requirements James L. Mullins, PhD Dean of Libraries & Professor September 8 th, 2011 Coalition for Academic Scientific Computation – CASC
Libraries Press Release Scientists Seeking NSF Funding Will Soon Be Required to Submit Data Management Plans Government-wide emphasis on community access to data supports substantive push toward more open sharing of research data May 10,
Libraries “I like to think of data in three categories, using a mining metaphor: ‘raw ore’, ‘concentrate’, and ‘virgin metal.’ The question is which data are worth saving and which throwing away?” Arden Bement, Remarks before IATUL, June 21 st, 2010, Purdue University, West Lafayette, Indiana.
Libraries Purdue’s Response: Definition of Data Management by Disciplinary Community Data Repository (storage and archive preservation) Retrieval and Citation
Libraries Definition of Data Management by Disciplinary Community - Data Curation Profiles Data Management Plan Self-Assessment Questionnaire dmp_self_questionnaire.pdf Data Curation Profile (DCP) Workshop Library/DCPWorkshop/Home.aspx
Libraries Definition of Data Management by Disciplinary Community - Data Curation Profiles Toolkit Provide a guide for discussing data with researchers Give insight into areas of attention in data management Help assess information needs related to data collections Give insight into differences between data in various disciplines Help identify possible data services Create a starting point for curating a data set for archiving and preservation
Libraries HUB Zero Slide
Libraries Data Repository (storage and archive preservation)
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Purdue University Research Repository - PURR
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Establish easier access to scientific research data on the Internet. Increase acceptance of research data as legitimate, citable contributions to the scientific record. Support data archiving that will permit results to be verified and re-purposed for future study. Retrieval and Citation
Libraries The DOI system offers an easy way to connect the article with the underlying data: The dataset: Kuhlmann, H et al. (2009): Age models, iron intensity, magnetic susceptibility records and dry bulk density of sediment cores from around the Canary Islands. doi: /PANGAEA , Is supplement to the article: Kuhlmann, Holger; Freudenthal, Tim; Helmke, Peer; Meggers, Helge (2004): Reconstruction of paleoceanography off NW Africa during the last 40,000 years: influence of local and regional factors on sediment accumulation. Marine Geology, 207(1-4), , doi: /j.margeo Linking of Dataset to Article
Libraries In the United States three DataCite Members Provide DOIs for datasets:
Libraries Thank you Questions:
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