A novel research approach to enhance research group-level science data management

John D'Ignazio, Jian Qin

Research output: Contribution to journalArticle

Abstract

This poster will report an alternative approach compared with large-scale collection, technology development, or discipline informatics projects by exploring the enhancement of science data management at the research group level. An academic-year-long project involving both information and technical analysts demonstrated that flexible introduction of IT in the form of a relational database solution presents an opportunity to incorporate data-related practices, behavior, and schemes into a tool. The project team used cognitive work analysis and participatory design research methods to sensitively analyze research practice and then design and introduce a prototype tool. Iterative analysis and design cycles captured and incorporated the complex practices of researchers who struggle with the accumulation of samples and related digital data files from years of research. Design research processes will be analyzed according to project developments and research group reaction to the proposed data management tool design and preliminary attempt at implementation.

Original languageEnglish (US)
JournalProceedings of the ASIST Annual Meeting
Volume49
Issue number1
DOIs
StatePublished - Dec 1 2012

Keywords

  • Cognitive work analysis
  • E-science
  • Participatory design research
  • Relational database scheme
  • Science data management

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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