References
- Alexander, SM, et al. 2020. Qualitative data sharing and synthesis for sustainability science. Nature Sustainability, 3: 81–88. DOI: 10.1038/s41893-019-0434-8
- Birnholtz, JP and Bietz, MJ 2003. Data at work: Supporting sharing in science and engineering. In: Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Groupwork, Sanibel Island, Florida on
9–12 November 2003 , pp. 339–348. DOI: 10.1145/958160.958215 - Bishop, L 2014. Re-using qualitative data: A little evidence, on-going issues and modest reflections. Studia Socjologiczne, 3(214): 167–176.
- Bishop, L and Kuula-Lummi, A 2017. Revisiting qualitative data reuse: A decade on. SAGE Open, 7(1). DOI: 10.1177/2158244016685136
- Borgman, CL 2009. Scholarship in the digital age: Information, infrastructure, and the internet. Literary and Linguistic Computing, 24(2): 243–245. DOI: 10.1093/llc/fqn041
- Borycz, J, et al. 2023. Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards. Humanities and Social Sciences Communications, 10(339). DOI: 10.1057/s41599-023-01831-7
- Breznau, N 2021. Does sociology need open science? Societies, 11(1): 9. DOI: 10.3390/soc11010009
- Broom, A, Cheshire, L, and Emmison, M 2009. Qualitative researchers’ understandings of their practice and the implications for data archiving and sharing. Sociology, 43(6): 1163–1180. DOI: 10.1177/0038038509345704
- Christensen, G, et al. 2019. Open science practices are on the rise: The State of Social Science (3S) survey. UC Berkeley: Center for Effective Global Action. Retrieved from
https://escholarship.org/uc/item/0hx0207r . DOI: 10.31222/osf.io/5rksu - Coltart, C, Henwood, K, and Shirani, F 2013. Qualitative secondary analysis in austere times: Ethical, professional and methodological considerations. Historical Social Research, 38(4): 271–292.
https://www.jstor.org/stable/24142699 . - Corti, L 2007. Re-using archived qualitative data – where, how, why? Archival Science, 7: 37–54. DOI: 10.1007/s10502-006-9038-y
- Curty, RG 2016. Factors influencing research data reuse in the social sciences: An exploratory study. International Journal of Digital Curation, 11(1): 96–117. DOI: 10.2218/ijdc.v11i1.401
- David, R, et al. 2020. FAIRness literacy: the Achilles’ heel of applying FAIR principles. CODATA Data Science Journal, 19(32): 1–11. DOI: 10.5334/dsj-2020-032
- Downey, G, Eschenfelder, KR, and Shankar, K 2019.
Talking about metadata labor: Social science data archives, professional data librarians, and the founding of IASSIST . In: Aspray, W (ed.), Historical Studies in Computing, Information, and Society: Insights From the Flatiron Lectures. Cham: Springer, pp. 83–113. DOI: 10.1007/978-3-030-18955-6_5 - DuBois, JM, Strait, M, and Walsh, H 2018. Is it time to share qualitative research data? Qualitative psychology, 5(3): 380–393. DOI: 10.1037/qup0000076
- Engzell, P and Rohrer, JM 2021. Improving social science: Lessons from the open science movement. PS: Political Science & Politics, 54(2): 297–300. DOI: 10.1017/S1049096520000967
- Faniel, IM, Frank, RD and Yakel, E 2019. Context from the data reuser’s point of view. Journal of Documentation, 75(6): 1274–1297. DOI: 10.1108/JD-08-2018-0133
- Faniel, IM, Kriesberg, A and Yakel, E 2012. Data reuse and sensemaking among novice social scientists. Proceedings of the ASIST Annual Meeting, 49(1): 1–10. DOI: 10.1002/meet.14504901068
- Freese, J, Rauf, T and Voelkel, JG 2022. Advances in transparency and reproducibility in the social sciences. Social Science Research, 107(102770). DOI: 10.1016/j.ssresearch.2022.102770
- Friedrich, T 2020.
Looking for data . Unpublished thesis (PhD), Humboldt-Universität zu Berlin, Philosophische Fakultät. DOI: 10.18452/22173 - Gregory, KM, et al. 2020. Understanding data search as a socio-technical practice. Journal of Information Science, 46(4): 459–475. DOI: 10.1177/0165551519837182
- Gutmann, M, et al. 2004. The selection, appraisal, and retention of social science data. Data Science Journal, 3: 209–221. DOI: 10.2481/dsj.3.209
- Heers, M, Ferrez, E and Morgan de Paula, E 2017. Data sharing and re-use: Researcher practices, attitudes and needs FORS Survey of Social Science Researchers in Switzerland, FORS.
- Jeng, W, He, D and Oh, J 2016. Toward a conceptual framework for data sharing practices in social sciences: A profile approach. Proceedings of the Association for Information Science and Technology, 53(1): 1–10. DOI: 10.1002/pra2.2016.14505301037
- Jeng, W and Lyon, L 2016. A report of data-intensive capability, institutional support, and data management practices in social sciences. International Journal of Digital Curation, 11(1). DOI: 10.2218/ijdc.v11i1.398
- Kern, D and Mathiak, B 2015.
Are there any differences in data set retrieval compared to well-known literature retrieval? In: Kapidakis, S, Mazurek, C and Werla, M (eds.), Research and Advanced Technology for Digital Libraries. Cham: Springer. pp. 197–208. DOI: 10.1007/978-3-319-24592-8_15 - Koesten, L, et al. 2021. Talking datasets – understanding data sensemaking behaviours. International Journal of Human Computer Studies, 146(102562). DOI: 10.1016/j.ijhcs.2020.102562
- Krämer, T, et al. 2021. Data-seeking behaviour in the social sciences. International Journal on Digital Libraries, 22: 175–195. DOI: 10.1007/s00799-021-00303-0
- Kudrnáová, M and Trtíková, I 2020. Sustainability through the liaison with data archive users. IASSIST Quarterly, 44(4). DOI: 10.29173/iq976
- Late, E and Kekäläinen, J 2020. Use and users of a social science research data archive. PLoS ONE, 15(8). DOI: 10.1371/journal.pone.0233455
- Lyon, L 2016. Transparency: The emerging third dimension of open science and open data. LIBER Quarterly: The Journal of the Association of European Research Libraries, 25(4): 153–171. DOI: 10.18352/lq.10113
- Mannheimer, S, et al. 2019. Qualitative data sharing: Data repositories and academic libraries as key partners in addressing challenges. American Behavioral Scientist, 63(5): 643–664. DOI: 10.1177/0002764218784991
- McLeod, J and O’Connor, K 2020. Ethics, archives and data sharing in qualitative research. Educational Philosophy and Theory, 53(5): 523–535. DOI: 10.1080/00131857.2020.1805310
- Mozersky, J, et al. 2020. Research participant views regarding qualitative data sharing. Ethics & Human Research, 42(2): 13–17. DOI: 10.1002/eahr.500044
- Mozersky, J, et al. 2021. Barriers and facilitators to qualitative data sharing in the United States: A survey of qualitative researchers. PloS ONE, 16(12). DOI: 10.1371/journal.pone.0261719
- Niu, J 2009. Overcoming inadequate documentation. In: Proceedings of the ASIST Annual Meeting. Vol. 46. Silver Spring, MD:
American Society for Information Science and Technology . pp. 1–11. DOI: 10.1002/meet.2009.145046024 - Niu, J and Hedstrom, M 2008. Documentation Evaluation Model for Social Science Data. In Proceedings of the ASIST Annual Meeting. Vol. 45. Silver Spring, MD:
American Society for Information Science and Technology . p. 11. DOI: 10.1002/meet.2008.1450450223 - Perrier, L, Blondal, E and MacDonald, H 2020. The views, perspectives, and experiences of academic researchers with data sharing and reuse: A meta-synthesis. In: Dorta-González, P. (ed.), PLoS ONE, 15(2). DOI: 10.1371/journal.pone.0229182
- Quarati, A and Raffaghelli, JE 2020. Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the figshare case. Journal of Information Science, 48(4): 423–448. DOI: 10.1177/0165551520961048
- Ruggiano, N and Perry, TE 2019. Conducting secondary analysis of qualitative data: Should we, can we, and how? Qualitative Social Work, 18(1): 81–97. DOI: 10.1177/1473325017700701
- Sherif, V 2018. Evaluating preexisting qualitative research data for secondary analysis. Forum, Qualitative Social Research/Forum, Qualitative Sozialforschung, 19(2). DOI: 10.17169/fqs-19.2.2821
- Tarrant, A 2017. Getting out of the swamp? Methodological reflections on using qualitative secondary analysis to develop research design. International Journal of Social Research Methodology, 20(6). DOI: 10.1080/13645579.2016.1257678
- Yoon, A 2014. ‘Making a square fit into a circle’: Researchers’ experiences reusing qualitative data. Proceedings of the ASIST Annual Meeting, 51(1). DOI: 10.1002/meet.2014.14505101140
- Yoon, A 2017a. Data reusers’ trust development. Journal of the Association for Information Science and Technology, 68(4). DOI: 10.1002/asi.23730
- Yoon, A 2017b. Role of communication in data reuse. Proceedings of the Association for Information Science and Technology, 54(1). DOI: 10.1002/pra2.2017.14505401050
- Yoon, A and Kim, Y 2017. Social scientists’ data reuse behaviors: Exploring the roles of attitudinal beliefs, attitudes, norms, and data repositories. Library & Information Science Research, 39(3). DOI: 10.1016/j.lisr.2017.07.008
- Zenk-Möltgen, W, et al. 2018. Factors influencing the data sharing behavior of researchers in sociology and political science. Journal of Documentation, 74(5): 1053–1073. DOI: 10.1108/JD-09-2017-0126
- Zhu, Y 2019. Open-access policy and data-sharing practice in UK academia. Journal of Information Science, 46(1): 41–52. DOI: 10.1177/0165551518823174
- Zuiderwijk, A, Shinde, R and Jeng, W 2020. What drives and inhibits researchers to share and use open research data? A systematic literature review to analyze factors influencing open research data adoption. PLoS ONE, 15(9). DOI: 10.1371/journal.pone.0239283