Trust in Qualitative Data Repositories

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dc.contributor.author Frank, Rebecca D.
dc.contributor.author Chen, Zui
dc.contributor.author Crawford, Erica
dc.contributor.author Suzuka, Kara
dc.contributor.author Yakel, Elizabeth
dc.date.accessioned 2017-12-05T18:27:33Z
dc.date.available 2017-12-05T18:27:33Z
dc.date.issued 2017-10-24
dc.identifier.citation Frank, R. D., Chen, Z., Crawford, E., Suzuka, K. and Yakel, E. (2017), Trust in qualitative data repositories. Proceedings of the Association for Information Science and Technology, 54: 102–111. doi:10.1002/pra2.2017.14505401012 en_US
dc.identifier.uri http://hdl.handle.net/2027.42/139703
dc.description.abstract This paper applies Pirson and Malhotra’s (2011) framework for organizational trust to data reuse in an educational context. Their framework delineates stakeholders along two axes: depth of the interactions (e.g., shallow or deep) and the locus of the relationship (e.g., internal or external). We analyzed 139 survey responses and 44 in-depth interviews with users of repositories holding video records of practice. We found that factors such as data quality, co-production of data between the repository and data producer, responsiveness of staff, and transparency of curation processes influenced trust, and that responsiveness and transparency were of particular importance for trust development for users with deeper interactions and a more internal loci of relationships to repositories. en_US
dc.description.sponsorship This research is funded by the Institute of Museum and Library Services # LG-06-14-0122-14 en_US
dc.language.iso en_US en_US
dc.publisher Association for Information Science and Technology en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Data Reuse, Digital Curation, Digital Repositories, Qualitative Data, Trust en_US
dc.title Trust in Qualitative Data Repositories en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Information and Library Science
dc.subject.hlbtoplevel Social Sciences
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum School of Information en_US
dc.contributor.affiliationum School of Education en_US
dc.contributor.affiliationother University of Hawai’i at Mānoa College of Education en_US
dc.contributor.affiliationumcampus Ann Arbor en_US
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/139703/1/Frank_Chen_Crawford_Suzuka_Yakel_ASIST2017_DeepBlue_12052017a.pdf
dc.identifier.doi 10.1002/pra2.2017.14505401012
dc.identifier.source Proceedings of the Association for Information Science and Technology en_US
dc.identifier.orcid https://orcid.org/0000-0003-2064-5140 en_US
dc.identifier.orcid https://orcid.org/0000-0002-8792-6900 en_US
dc.identifier.orcid https://orcid.org/0000-0002-7079-1640 en_US
dc.description.filedescription Description of Frank_Chen_Crawford_Suzuka_Yakel_ASIST2017_DeepBlue_12052017a.pdf : Main article
dc.owningcollname Information, School of (SI)
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