The Special Case of Scientific Data Sharing with Education
Identifieur interne : 000180 ( Istex/Corpus ); précédent : 000179; suivant : 000181The Special Case of Scientific Data Sharing with Education
Auteurs : Jillian C. Wallis ; Stasa Milojevic ; Christine L. Borgman ; William A. SandovalSource :
- Proceedings of the American Society for Information Science and Technology [ 0044-7870 ] ; 2006.
Abstract
The seemingly simple task of reusing data for science education relies on the presence of scientific data, scientists willing to share, infrastructure to provide access, and mechanisms to share between the two disparate communities of scientists and science students. What makes sharing between scientists and science students a special case of data sharing, is that all of the implicit knowledge attending the data must pass along this same vector. Our work at the Center for Embedded Networked Sensing studying aspects of this data reuse problem has shown us a rough outline of how the future of this data sharing will look. Our approach is to start from the prospective of the scientists, looking for opportunities to support scientific research, and then leveraging the data for reuse by education. The investment needed to capture high quality scientific data necessitates the consideration of reuse by the general population as well as other interested scientific parties.
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DOI: 10.1002/meet.14504301169
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What makes sharing between scientists and science students a special case of data sharing, is that all of the implicit knowledge attending the data must pass along this same vector. Our work at the Center for Embedded Networked Sensing studying aspects of this data reuse problem has shown us a rough outline of how the future of this data sharing will look. Our approach is to start from the prospective of the scientists, looking for opportunities to support scientific research, and then leveraging the data for reuse by education. The investment needed to capture high quality scientific data necessitates the consideration of reuse by the general population as well as other interested scientific parties.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The Special Case of Scientific Data Sharing with Education</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>The Special Case of Scientific Data Sharing With Education</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The Special Case of Scientific Data Sharing with Education</title></titleInfo><name type="personal"><namePart type="given">Jillian C.</namePart><namePart type="family">Wallis</namePart><affiliation>Center for Embedded Networked Sensing, UCLA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Stasa</namePart><namePart type="family">Milojevic</namePart><affiliation>Information Studies Dept. 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What makes sharing between scientists and science students a special case of data sharing, is that all of the implicit knowledge attending the data must pass along this same vector. Our work at the Center for Embedded Networked Sensing studying aspects of this data reuse problem has shown us a rough outline of how the future of this data sharing will look. Our approach is to start from the prospective of the scientists, looking for opportunities to support scientific research, and then leveraging the data for reuse by education. The investment needed to capture high quality scientific data necessitates the consideration of reuse by the general population as well as other interested scientific parties.</abstract><relatedItem type="host"><titleInfo><title>Proceedings of the American Society for Information Science and Technology</title></titleInfo><titleInfo type="abbreviated"><title>Proc. Am. Soc. Info. Sci. 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