Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries

  title={Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries},
  author={Jillian C. Wallis and Christine L. Borgman and Matthew S. Mayernik and Alberto Pepe and Nithya Ramanathan and Mark H. Hansen},
For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by scientific problem, by individual, and a variety of other factors. This paper compares technical approaches to data integrity with scientific practices, as a case study in the Center for Embedded Networked Sensing (CENS). The goal of this research is to identify functional requirements for digital libraries of… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 11 references

The discovery of grounded theory ; strategies for qualitative research

  • J. Lofland
  • Analyzing Social Settings : A Guide to…
  • 2006

Memory Practices in the Sciences

  • G. C. Bowker
  • International Journal on Digital Libraries,
  • 2005
1 Excerpt

Generating high energy physics in Japan, in Pedagogy and Practice in Physics, D

  • S. Traweek
  • 2004
1 Excerpt

Biodiversity datadiversity

  • G. C. Bowker
  • Social Studies of Science,
  • 2000
2 Excerpts

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