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Breakout Session on Scientific Issues
Pages 193-198

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From page 193...
... With data sets that are created within large distributed 193
From page 194...
... Data citations, however, can only include a small amount of metadata. Extensive descriptions of a data set or the individual contributions to a large project may be best documented in other locations, such as a data set or project's website.
From page 195...
... For example, metrics on data use often are not released, in part because some high profile data sets might not be used much. Another dichotomy is between disciplinary data repositories and institutional repositories, as one participant observed.
From page 196...
... Some groups, like the Virtual Observatory in Astronomy are trying to develop services that cut across disciplinary repositories. As repository connections and consolidation take place, several participants observed that the location of data sets may need to change for the purpose of making scientific research easier.
From page 197...
... It takes ongoing community development efforts, however, to update such data. One of the participants noted that in some ways, data citation is a simple problem: provide people with the recommended citation formats and assign data sets DOIs.
From page 198...
... For example, the tipping point for data citations might be when somebody starts counting data set citations. Even if such counting becomes the norm, however, new data citation metrics ought to be developed within institutional structures such as data centers, libraries, universities, and other institutions that provide individual rewards to scientists.


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