(Not) giving credit where credit is due: Citation of data sets
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Adequate Citation of data sets is crucial to the encouragement of data sharing, to the integrity and cost-effectiveness of science and to easy access to the work of others. The citation behavior of social scientists who have published based on shared data was examined and found to be inconsistent with important ideals of science. Insights gained from the social sciences, where data sharing is somewhat customary, suggest policies and incentives that would foster adequate citation by secondary users, and greater openness and sharing in other disciplines.
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- We thank Barbara Bailar, Patrick Bova, Sue Dodd, Jerry Clubb, Mark Frankel, Judith Rowe, Tom W. Smith and Conrad Taeuber for their comments on the manuscript. Support from a CSUH Research Award and from NSF grant DIR 9012185 (to JES) are gratefully acknowledge.
- (Not) giving credit where credit is due: Citation of data sets
Science and Engineering Ethics
Volume 1, Issue 1 , pp 11-20
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- Kluwer Academic Publishers
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- data set
- secondary analysis
- data sharing
- editorial standards
- scientific integrity