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Research project tasks, data, and perceptions of data quality in a condensed matter physics community
Author(s) -
Stvilia Besiki,
Hinnant Charles C.,
Wu Shuheng,
Worrall Adam,
Lee Dong Joon,
Burnett Kathleen,
Burnett Gary,
Kazmer Michelle M.,
Marty Paul F.
Publication year - 2015
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23177
Subject(s) - data curation , quality (philosophy) , data quality , perception , data science , task (project management) , computer science , work (physics) , research data , knowledge management , psychology , engineering , systems engineering , business , physics , marketing , mechanical engineering , metric (unit) , quantum mechanics , neuroscience
To be effective and at the same time sustainable, a community data curation model needs to be aligned with the community's current data practices, including research project activities, data types, and perceptions of data quality. Based on a survey of members of the condensed matter physics ( CMP ) community gathered around the N ational H igh M agnetic F ield L aboratory, a large national laboratory, this article defines a model of CMP research project tasks consisting of 10 task constructs. In addition, the study develops a model of data quality perceptions by CMP scientists consisting of four data quality constructs. The paper also discusses relationships among the data quality perceptions, project roles, and demographic characteristics of CMP scientists. The findings of the study can inform the design of a CMP data curation model that is aligned and harmonized with the community's research work structure and data practices.