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For Attribution Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop (2012) / Chapter Skim
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26- Standards and Data Citations
Pages 173-176

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From page 173...
... Everything from page numbers, table of contents, an index, cataloging information, title pages, organization structures, paper acidity, binding, paper sizes, ink, colors, font sizes, even the spelling of the words themselves are all best practices derived from the mass production of book publishing. These practices have developed over time and have been adapted to provide more efficient discovery and distribution of content.
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From page 174...
... initiative whose goal is to establish a unique identifier for each researcher in the scholarly communication process. This project is closely related to the International Standard Name Identifier (ISNI)
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From page 175...
... Perhaps what we need is a good framework of data elements that define core and secondary sets of metadata for describing data or data sets, which may be applicable in across a range of communities and leave the proper display question to each individual community. The problem with most standards is not that they are bad ideas or that there is not sufficient thought that went into their development.
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From page 176...
... If we do come up with a standard data citation format, schema for metadata about data sets, or publication policies, and after we have obtained consensus on the citation structure, we have to invest time and effort in getting people to actually use it. Finally, I want to reflect on who is the audience for the project we are developing?
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Key Terms

  • dublin core
  • standards development
  • name identifier
  • citation format
  • citation structure

  • core metadata
  • sharing data
  • standard data
  • citation standards
  • digital data

  • linked data
  • data stores
  • describing data
  • own institutional
  • lifecycle process

  • paper sizes
  • actionable network
  • institutional identification
  • universally adopted
  • content distribution

  • linkable text
  • similar names
  • text citations
  • current environment
  • display question

  • challenge posed
  • describe content
  • refresh pace
  • identifying content
  • paper acidity


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