Curating for Quality: Ensuring Data Quality to Enable New Science

The UNC School of Information & Library Science has released Curating for Quality: Ensuring Data Quality to Enable New Science.

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The National Science Foundation sponsored a workshop on September 10 and 11, 2012, in Arlington, Virginia on "Curating for Quality: Ensuring Data Quality to Enable New Science." Individuals from government, academic and industry settings gathered to discuss issues, strategies and priorities for ensuring quality in collections of data. This workshop aimed to define data quality research issues and potential solutions. The workshop objectives were organized into four clusters: (1) data quality criteria and contexts, (2) human and institutional factors, (3) tools for effective and painless curation, and (4) metrics for data quality. . . .

The workshop identified several key challenges that include:

  • selection strategies—how to determine what is most valuable to preserve
  • how much and which context to include—how to insure that data is interpretable and usable in the future, what metadata to include
  • tools and techniques to support painless curation—creating and sharing tools and techniques that apply across disciplines
  • cost and accountability models—how to balance selection, context decisions with cost constraints.

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