Know thy sensor: Trust, data quality, and data integrity in scientific digital libraries

Julian C. Wallis, Christine L. Borgman, Matthew S. Mayernik, Alberto Pepe, Nithya Ramanathan, Mark Hansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

39 Scopus citations

Abstract

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) in the use of wireless, in-situ sensing for the collection of large scientific data sets. The goal of this research is to identify functional requirements for digital libraries of scientific data that will serve to bridge the gap between current technical approaches to data integrity and existing scientific practices.

Original languageEnglish
Title of host publicationResearch and Advanced Technology for Digital Libraries - 11th European Conference, ECDL 2007, Proceedings
PublisherSpringer Verlag
Pages380-391
Number of pages12
ISBN (Print)9783540748502
DOIs
StatePublished - 2007
Event11th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2007 - Budapest, Hungary
Duration: Sep 16 2007Sep 21 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2007
Country/TerritoryHungary
CityBudapest
Period09/16/0709/21/07

Keywords

  • Data integrity
  • Data quality
  • Scientific data
  • Trust
  • User centered design
  • User experience

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