{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T20:44:29Z","timestamp":1776285869778,"version":"3.50.1"},"reference-count":48,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T00:00:00Z","timestamp":1645488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2022,10,4]]},"abstract":"<jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n                    <jats:p>This study develops a conceptual framework and a series of instruments for capturing researchers' data-sharing practices in the social sciences, by synergizing the theory of knowledge infrastructure and the theory of remote scientific collaboration.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n                    <jats:p>This paper triangulates the results of three studies of data sharing across the social sciences, with 144 participants in total, and classifies the confusion, \u201cfrictions\u201d and opportunities arising from such sharing into four overarching dimensions: data characteristics, technological infrastructure, research culture and individual drivers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n                    <jats:p>Based on the sample, the findings suggest that the majority of faculty and students in social science research do not share their data because many of them are unaware of the benefits and methods of doing so. Additional findings regarding social scientists' data-sharing behaviors include: (1) those who do share qualitative data in data repositories are more likely to share their research tools than their raw data; and (2)\u00a0perceived technical support and extrinsic motivation are both strong predictors of qualitative data sharing (a previously underresearched subtype of social science data sharing).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n                    <jats:p>The study confirms the previously hypothesized nature of \u201cfriction\u201d in qualitative data sharing in the social sciences, arising chiefly from the time and labor intensiveness of ensuring data privacy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Peer review<\/jats:title>\n                    <jats:p>\n                      The peer review history for this article is available at:\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/publons.com\/publon\/10.1108\/OIR-03-2020-0079\">https:\/\/publons.com\/publon\/10.1108\/OIR-03-2020-0079<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/oir-03-2020-0079","type":"journal-article","created":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T23:27:46Z","timestamp":1645486066000},"page":"1275-1292","source":"Crossref","is-referenced-by-count":14,"title":["Surveying research data-sharing practices in US social sciences: a knowledge infrastructure-inspired conceptual framework"],"prefix":"10.1108","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5560-511X","authenticated-orcid":false,"given":"Wei","family":"Jeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4645-8696","authenticated-orcid":false,"given":"Daqing","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2022,2,22]]},"reference":[{"issue":"2","key":"key2022100401085568900_ref001","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1108\/JD-05-2017-0080","article-title":"The politics of data friction","volume":"74","year":"2018","journal-title":"Journal of Documentation"},{"key":"key2022100401085568900_ref002","volume-title":"Scholarship in the Digital Age: Information, Infrastructure, and the Internet","year":"2007"},{"key":"key2022100401085568900_ref003","volume-title":"Big Data, Little Data, No Data: Scholarship in the Networked World","year":"2015"},{"issue":"8","key":"key2022100401085568900_ref004","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1002\/asi.24172","article-title":"Digital data archives as knowledge infrastructures: mediating data sharing and reuse","volume":"70","year":"2019","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"6","key":"key2022100401085568900_ref005","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1002\/asi.24439","article-title":"Collaborative qualitative research at scale: reflections on 20 years of acquiring global data and making data global","volume":"72","year":"2021","journal-title":"Journal of the Association for Information Science and Technology"},{"key":"key2022100401085568900_ref006","doi-asserted-by":"crossref","unstructured":"Bowker, G.C., Baker, K., Millerand, F. and Ribes, D. 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