Rebekah Cummings
University of Utah
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Publication
Featured researches published by Rebekah Cummings.
International Journal on Digital Libraries | 2015
Peter T. Darch; Christine L. Borgman; Sharon Traweek; Rebekah Cummings; Jillian C. Wallis; Ashley E. Sands
We present preliminary findings from a three-year research project comprised of longitudinal qualitative case studies of data practices in four large, distributed, highly multidisciplinary scientific collaborations. This project follows a 2
International Journal of Digital Curation | 2016
Christine L. Borgman; Milena S. Golshan; Ashley E. Sands; Jillian C. Wallis; Rebekah Cummings; Peter T. Darch; Bernadette M. Randles
Archive | 2013
Peter T. Darch; Rebekah Cummings
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Archive | 2018
Rebekah Cummings; Anna Neatrour; Elizabeth Callaway
Digital Library Perspectives | 2018
Anna Neatrour; Elizabeth Callaway; Rebekah Cummings
× 2 research design: two of the collaborations are big science while two are little science, two have completed data collection activities while two are ramping up data collection. This paper is centered on one of these collaborations, a project bringing together scientists to study subseafloor microbial life. This collaboration is little science, characterized by small teams, using small amounts of data, to address specific questions. Our case study employs participant observation in a laboratory, interviews (
Archive | 2016
Rebekah Cummings
In: Pickard, A, (ed.) Research methods in information. (pp. 71-86). Facet: London UK. (2013) | 2015
Becky Thoms; Rebekah Cummings; Britt Fagerheim; Edward Smart
n=49
Archive | 2014
Rebekah Cummings
ICPSR Website | 2014
Rebekah Cummings
n=49 to date) with scientists in the collaboration, and document analysis. We present a data workflow that is typical for many of the scientists working in the observed laboratory. In particular, we show that, although this workflow results in datasets apparently similar in form, nevertheless a large degree of heterogeneity exists across scientists in this laboratory in terms of the methods they employ to produce these datasets—even between scientists working on adjacent benches. To date, most studies of data in little science focus on heterogeneity in terms of the types of data produced: this paper adds another dimension of heterogeneity to existing knowledge about data in little science. This additional dimension makes more complex the task of management and curation of data for subsequent reuse. Furthermore, the nature of the factors that contribute to heterogeneity of methods suggest that this dimension of heterogeneity is a persistent and unavoidable feature of little science.
2014 Texas Conference on Digital Libraries | 2014
Rebekah Cummings