A Multidisciplinary Scientific Data Sharing System for the Polar Region

2013 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science ◽

10.1109/dcabes.2013.54 ◽

2013 ◽

Author(s):

Cheng Wenfang ◽

Zhang Jie ◽

Zhang Beichen ◽

Yang Rui

Keyword(s):

Data Sharing ◽

Polar Region ◽

Scientific Data

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Earth System Scientific Data Sharing Research and Practice

Geo-information Science ◽

10.3724/sp.j.1047.2010.00001 ◽

2010 ◽

Vol 12 (1) ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

Yunqiang ZHU ◽

Jiulin SUN ◽

Shunbao LIAO ◽

Yapeng YANG ◽

Huazhong ZHU ◽

...

Keyword(s):

Data Sharing ◽

Scientific Data ◽

Earth System ◽

Research And Practice

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Research on Earth System Scientific Data Sharing Platform Based on SOA

Geo-information Science ◽

10.3724/sp.j.1047.2009.00001 ◽

2010 ◽

Vol 11 (1) ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

Yunqiang ZHU ◽

Min FENG ◽

Jia SONG ◽

Runda LIU

Keyword(s):

Data Sharing ◽

Scientific Data ◽

Earth System

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Why they shared: recovering early arguments for sharing social scientific data

Science in Context ◽

10.1017/s0269889720000204 ◽

2020 ◽

Vol 33 (2) ◽

pp. 101-119

Author(s):

Emily Hauptmann

Keyword(s):

Social Science ◽

Data Sharing ◽

Financial Stability ◽

Social Research ◽

Scientific Data ◽

Social Scientists ◽

Ethical Imperative ◽

Social Scientific ◽

The University ◽

University Consortium

ArgumentMost social scientists today think of data sharing as an ethical imperative essential to making social science more transparent, verifiable, and replicable. But what moved the architects of some of the U.S.’s first university-based social scientific research institutions, the University of Michigan’s Institute for Social Research (ISR), and its spin-off, the Inter-university Consortium for Political and Social Research (ICPSR), to share their data? Relying primarily on archived records, unpublished personal papers, and oral histories, I show that Angus Campbell, Warren Miller, Philip Converse, and others understood sharing data not as an ethical imperative intrinsic to social science but as a useful means to the diverse ends of financial stability, scholarly and institutional autonomy, and epistemological reproduction. I conclude that data sharing must be evaluated not only on the basis of the scientific ideals its supporters affirm, but also on the professional objectives it serves.

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Research and Application on Manufacturing Scientific Data Sharing Service Customization

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.522.770 ◽

2012 ◽

Vol 522 ◽

pp. 770-775

Author(s):

Yu Zheng ◽

Yan Rong Ni ◽

Deng Zhe Ma

Keyword(s):

Data Sharing ◽

Scientific Data ◽

Prototype System ◽

Data Service ◽

Service Model ◽

Resource Model ◽

Data Resource ◽

Key Technologies ◽

Service Customization ◽

Registration Service

In order to satisfy the needs of fast and convenient customization of manufacturing scientific data sharing service, the data service customization process and its key technologies were studied. First the data resource model and the customization oriented professional data service model were studied. Then the processes of service customization, from resource registration, service definition, service parsing, to service generating, were analyzed. The parsing engine based on service parsing technology and incubator based on service generating technology was emphasized. Finally the prototype system was developed and validated by an example.

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