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== Recommended Practices for Data Citations ==  
 
== Recommended Practices for Data Citations ==  
Data citation is an evolving but increasingly important scientific practice. We see several important purposes of data citation:
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The core required elements of a citation from:
 
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# To aid scientific reproducibility through direct, unambiguous reference to the precise data used in a particular study.
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# To provide fair credit for data creators or authors, data stewards, and other critical people in the data production and curation process.
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# To ensure scientific transparency and reasonable accountability for authors and stewards.
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# To aid in tracking the impact of data set and the associated data center through reference in scientific literature.
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# To help data authors verify how their data are being used.
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# To help future data users identify how others have used the data.
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The core required elements of a citation from ESIP:
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# '''Author(s)'''--the people or organizations responsible for the intellectual work to develop the data set. The data creators.
 
# '''Author(s)'''--the people or organizations responsible for the intellectual work to develop the data set. The data creators.
 
# '''Release Date'''--when the particular version of the data set was first made available for use (and potential citation) by others.
 
# '''Release Date'''--when the particular version of the data set was first made available for use (and potential citation) by others.
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# Additional fields can be added as necessary to credit other people and institutions, etc. Additionally, it is important to provide a scheme for users to indicate the precise subset of data that were used. This could be the temporal and spatial range of the data, the types of files used, a specific query id, or other ways of describing how the data were subsetted.
 
# Additional fields can be added as necessary to credit other people and institutions, etc. Additionally, it is important to provide a scheme for users to indicate the precise subset of data that were used. This could be the temporal and spatial range of the data, the types of files used, a specific query id, or other ways of describing how the data were subsetted.
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Data citation is an evolving but increasingly important scientific practice. We see several important purposes of data citation:
 +
 +
# To aid scientific reproducibility through direct, unambiguous reference to the precise data used in a particular study.
 +
# To provide fair credit for data creators or authors, data stewards, and other critical people in the data production and curation process.
 +
# To ensure scientific transparency and reasonable accountability for authors and stewards.
 +
# To aid in tracking the impact of data set and the associated data center through reference in scientific literature.
 +
# To help data authors verify how their data are being used.
 +
# To help future data users identify how others have used the data.
  
 
* [https://www.force11.org/datacitation/ '''The Data Citation Principles''' from Force 11]
 
* [https://www.force11.org/datacitation/ '''The Data Citation Principles''' from Force 11]
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# '''Unique Identification''': A data citation should include a persistent method for identification that is machine actionable, globally unique, and widely used by a community
 
# '''Unique Identification''': A data citation should include a persistent method for identification that is machine actionable, globally unique, and widely used by a community
 
# '''Access''': Data citations should facilitate access to the data themselves and to such associated metadata, documentation, code, and other materials, as are necessary for both humans and machines to make informed use of the referenced data.
 
# '''Access''': Data citations should facilitate access to the data themselves and to such associated metadata, documentation, code, and other materials, as are necessary for both humans and machines to make informed use of the referenced data.
# '''Persistent''': Unique identifiers, and metadata describing the data, and its disposition, should persist -- even beyond the lifespan of the data they describe;  
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# '''Persistance''': Unique identifiers, and metadata describing the data, and its disposition, should persist -- even beyond the lifespan of the data they describe;  
 
# '''Specificity and verification''': Data citation should facilitate access to the data themselves and to such associated metadata, documentation, code, and other material, thus, citation metadata should  include additional information that can help identify specific portion of the data related supporting that claim. For example, versions or timeslice information should be supplied with any updated or dynamic dataset;
 
# '''Specificity and verification''': Data citation should facilitate access to the data themselves and to such associated metadata, documentation, code, and other material, thus, citation metadata should  include additional information that can help identify specific portion of the data related supporting that claim. For example, versions or timeslice information should be supplied with any updated or dynamic dataset;
# '''Flexibility and interoperability''': Data citation should be sufficiently flexible to accommodate the variant practices among communities, but should not differ so much that they compromise interoperability of data citation practices across communities.
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# '''Flexibility and interoperability''': Data citation should be sufficienty flexible to accomodate the variant practices among communities, but should not differ so much that they compromise interoperability of data citation practices across communities.
  
 
'''Example reference citations''':
 
'''Example reference citations''':

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