The Role of Conceptions of Value in Data Practices: A Multi-Case Study of Three Small Teams of Ecological Scientists.

Data Sharing;Data Curation;Scientific Data;Information and Library Science;Social Sciences;Information

Akmon, Dharma R.Yakel, Elizabeth ;

University of Michigan

关键词: Data Sharing;    Data Curation;    Scientific Data;    Information and Library Science;    Social Sciences;    Information;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/107162/dharmrae_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

This dissertation examines the role of conceptions of data;;s value in data practices. Based on a study of three small teams of scientists carrying out ecological research at a biological station, my study addresses the following main question: How do scientists conceive of the value of their data, and how do scientists enact conceptions of value in their data practices? I relied on interviews and participant observations for my study and analyzed my data through the lens of theories of value and meaning. I found that scientists were primarily concerned with data;;s value for their team;;s own, relatively narrow uses: addressing a gap in knowledge and producing the outputs that would garner them credit and prestige. When asked about their data;;s potential value beyond their studies, scientists regularly cited metaanalysis, cross-site comparison, and time-based studies as worthy secondary uses for data and assessed data;;s value according to how well they thought the data could serve those ends.As they collected data and conducted their studies, scientists did not think about data;;s value beyond whether or not they were good as resources for addressing a gap in knowledge. However, when asked to make their data more openly available, researchers indicated that their decision to share was based strongly on data;;s value for producing publications for the team. Data that teams were still working with and planned to publish were regarded as too valuable to the team to make widely available. Conversely, when scientists thought data;;s publication value had been fully exploited for the team, they saw little threat in sharing. In addition to publication potential, scientists also suggested that study type influenced their decision to share data and told me that they felt less compelled to share data from controlled studies because they assumed such data had inherently limited value.