國立虎尾科技大學 |

Data sharing across research and public communities.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Data sharing across research and public communities./
作者:	He, Yurong.
面頁冊數:	1 online resource (345 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
標題:	Information science. -
電子資源:	click for full text (PQDT)
ISBN:	9781369541274

Data sharing across research and public communities.
He, Yurong.

Data sharing across research and public communities. - 1 online resource (345 pages)

Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.

Thesis (Ph.D.)--University of Maryland, College Park, 2016.

Includes bibliographical references

For several decades, the intensifying trend of researchers to believe that sharing research data is "good" has overshadowed the belief that sharing data is "bad." However, sharing data is difficult even though an impressive effort has been made to solve data sharing issues within the research community, but relatively little is known about data sharing beyond the research community. This dissertation aims to address this gap by investigating how data are shared effectively across research and public communities.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369541274Subjects--Topical Terms:

561178
Information science.
Index Terms--Genre/Form:

554714
Electronic books.

Data sharing across research and public communities.
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300 $a 1 online resource (345 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
500 $a Adviser: Jennifer Preece.
502 $a Thesis (Ph.D.)--University of Maryland, College Park, 2016.
504 $a Includes bibliographical references
520 $a For several decades, the intensifying trend of researchers to believe that sharing research data is "good" has overshadowed the belief that sharing data is "bad." However, sharing data is difficult even though an impressive effort has been made to solve data sharing issues within the research community, but relatively little is known about data sharing beyond the research community. This dissertation aims to address this gap by investigating how data are shared effectively across research and public communities.
520 $a The practices of sharing data with both researchers and non-professionals in two comparative case studies, Encyclopedia of Life and CyberSEES, were examined by triangulating multiple qualitative data sources (i.e., artifacts, documentation, participant observation, and interviews). The two cases represent the creation of biodiversity data, the beginning of the data sharing process in a home repository, and the end of the data sharing process in an aggregator repository. Three research questions are asked in each case:
520 $a • Who are the data providers?
520 $a • Who are the data sharing mediators?
520 $a • What are the data sharing processes?
520 $a The findings reveal the data sharing contexts and processes across research and public communities. Data sharing contexts are reflected by the cross-level data providers and human mediators rooted in different groups, whereas data sharing processes are reflected by the dynamic and sustainable collaborative efforts made by different levels of human mediators with the support of technology mediators.
520 $a This dissertation provides theoretical and practical contributions. Its findings refine and develop a new data sharing framework of knowledge infrastructure for different-level data sharing across different communities. Both human and technology infrastructure are made visible in the framework. The findings also provide insight for data sharing practitioners (i.e., data providers, data mediators, data managers, and data contributors) and information system developers and designers to better conduct and support open and sustainable data sharing across research and public communities.
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538 $a Mode of access: World Wide Web
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650 4 $a Social research. $3 1179269
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