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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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21- Developing Data Attribution and Citation Practices and Standards: An Academic Institution Perspective
Pages 143-146

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 143...
... In other fields, cultures continue to be much more individual investigator oriented. In such domains, the independence of individual investigators is fiercely guarded and research data are rarely shared, except in relatively modest ways through peer review publications.
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From page 144...
... Institutions should help faculty understand what is expected of them in the responsible stewardship of research data in our increasingly digital scientific world. Deans and department heads are major institutional stakeholders too, for they must provide leadership in raising awareness about this important topic and its implications in matters such as tenure and promotion (and others)
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From page 145...
... Equally important, or maybe more important today, the substantial cost implications of providing long-term stewardship of data is a very significant concern for research universities. In an increasingly difficult economic environment, where concerns already exist about the escalating costs of higher education and where the federal government is unable or unwilling to support the full cost of research in the academy, who bears the responsibility for paying to ensure long-term open, useful access to research data created in the public interest?
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Key Terms

  • institutional repositories
  • data attribution
  • academic institution
  • increasingly digital
  • digital research

  • data policies
  • department heads
  • promotion decisions
  • increasingly difficult
  • economies afforded

  • fiercely guarded
  • raising awareness
  • escalating costs
  • data curation
  • major institutional

  • significantly engaged
  • difficult economic
  • academic policies
  • national knowledge
  • actively manage

  • promotion policies
  • developed data
  • economic environment
  • help faculty
  • research offices

  • heard yesterday
  • data lifecycle
  • digital objects
  • ethical conduct
  • engineering communities


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