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Research Data “Is everything that is digital also data?” 1.

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Presentation on theme: "Research Data “Is everything that is digital also data?” 1."— Presentation transcript:

1 Research Data “Is everything that is digital also data?” 1

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9 Research Data “Is everything that is digital also data?” 9

10 Research Data “Is everything that is digital also data?” – “The Conundrum of Sharing Research Data” by Christine Borgman. Categories (observational, experimental, computational, administrative) Purposes of Collecting Scope Goal of Research How we handle data 10

11 Research Data “Is everything that is digital also data?” – “The Conundrum of Sharing Research Data” by Christine Borgman. What constitutes “data” covered by a Data Management Plan? What constitutes such data will be determined by the community of interest through the process of peer review and program management. This may include, but is not limited to: data, publications, samples, physical collections, software and models. -- FAQ (NSF Data Management Plans, 2010): 11

12 Research Data “Is everything that is digital also data?” This was a question raised during the Canadian National Data Archive Consultation in 2001. 12 “By research data, we are referring to digital information that has been structured by methodology for the purpose of producing new knowledge.” National Data Archive Consultation: Phase One Needs Assessment Report. Social Sciences and Humanities Research Council. 2001. “By research data, we are referring to digital information that has been structured by methodology for the purpose of producing new knowledge.” National Data Archive Consultation: Phase One Needs Assessment Report. Social Sciences and Humanities Research Council. 2001.

13 http://www.jisc.ac.uk/whatwedo/ campaigns/res3/jischelp.aspx Joint Information Systems Committee (JISC) Observe, experiment, compute Observe, experiment, compute

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17 The Fourth Paradigm “Data intensive” and “data driven” research are about managing huge quantities of data. Gray argued for the establishment of modern stores for data and documents that are on par with traditional libraries. Data-intensive science consists of three basic activities: capture, curation, and analysis. Uncurated data is guaranteed to be lost.


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