OPEN DATA CULTURE IN SOCIAL SCIENCE RESEARCH
DOI:
https://doi.org/10.29121/granthaalayah.v11.i5.2023.5167Keywords:
Open Data, Social Science, Data Sharing, Data Use And ReuseAbstract [English]
Open data are records that are available for anybody to access, reuse, and distribute without restriction, with the exception of sharing and attribution. Many national governments have created websites to make some of the data they gather accessible to public, joining private companies in doing so. The creation of such massive archives is expected to promote and speed scientific progress by allowing multiple uses of datasets and minimizing duplication of effort Hand et al. (2001). When a repository is fully made up of datasets supplied by researchers and made accessible for use by other researchers, future uses of such datasets are referred to as reuse. When it comes to reusing research data in the social sciences, it has been discovered that quantitative data reuse is more widespread than qualitative data reuse since the number of free quantitative datasets is bigger Curty et al. (2017) and quantitative data metadata is easier to develop. Nonetheless, there is various research on the reuse of qualitative data in social sciences Late & Kekäläinen (2020). Despite several issues that must be addressed, it is obvious that open access data has the potential to transform research processes in a variety of sectors.
Downloads
References
Baker, K. S., Duerr, R. E., & Parsons, M. A. (2015). Scientific Knowledge Mobilization : Co-evolution of Data Products and Designated Communities. International Journal of Digital Curation, 10(2), Article 2. https://doi.org/10.2218/ijdc.v10i2.346. DOI: https://doi.org/10.2218/ijdc.v10i2.346
Barbui, C., Gureje, O., Puschner, B., Patten, S., & Thornicroft, G. (2016). Implementing a Data Sharing Culture. Epidemiology and Psychiatric Sciences, 25(4), 289–290. https://doi.org/10.1017/S2045796016000330. DOI: https://doi.org/10.1017/S2045796016000330
Borgman, C. L. (2015). Big Data, Little Data, No Data : Scholarship in the Networked World. https://doi.org/10.7551/mitpress/9963.001.0001. DOI: https://doi.org/10.7551/mitpress/9963.001.0001
Borgman, C. L., Scharnhorst, A., & Golshan, M. S. (2019). Digital Data Archives as Knowledge Infrastructures : Mediating Data Sharing and Reuse. Journal of the Association for Information Science and Technology, 70(8), 888–904. https://doi.org/10.1002/asi.24172. DOI: https://doi.org/10.1002/asi.24172
Culina, A., Crowther, T. W., Ramakers, J. J. C., Gienapp, P., & Visser, M. E. (2018). How to do Meta-Analysis of Open Datasets. Nature Ecology & Evolution, 2(7), 1053–1056. https://doi.org/10.1038/s41559-018-0579-2. DOI: https://doi.org/10.1038/s41559-018-0579-2
Curty, R. G., Crowston, K., Specht, A., Grant, B. W., & Dalton, E. D. (2017). Attitudes and Norms Affecting Scientists’ Data Reuse. PLOS ONE, 12(12). https://doi.org/10.1371/journal.pone.0189288. DOI: https://doi.org/10.1371/journal.pone.0189288
Darch, P. T., & Knox, E. J. M. (2017). Ethical Perspectives on Data and Software Sharing in the Sciences : A Research Agenda. Library & Information Science Research, 39(4), 295–302. https://doi.org/10.1016/j.lisr.2017.11.008. DOI: https://doi.org/10.1016/j.lisr.2017.11.008
David, P., Esanu, J. M., & Uhlir, P. F. (2003). The Economic Logic of “Open Science” and the Balance Between Private Property Rights and the Public Domain in Scientific Data and Information : A Primer. In the Role of Scientific and Technical Data and Information in the Public Domain : Proceedings of a Symposium. National Academies Press (US).
Dunleavy, P. (2022, January 11). Eight Components for ‘Open Social Science’ – An Agenda for Cultural Change. Impact of Social Sciences.
El Emam, K., Rodgers, S., & Malin, B. (2015). Anonymising and Sharing Individual Patient Data. BMJ, 350(mar2001), h1139–h1139. https://doi.org/10.1136/bmj.h1139. DOI: https://doi.org/10.1136/bmj.h1139
Faniel, I. M., & Jacobsen, T. E. (2010). Reusing Scientific Data : How Earthquake Engineering Researchers Assess the Reusability of Colleagues’ Data. Computer Supported Cooperative Work (CSCW), 19(3–4), 355–375. https://doi.org/10.1007/s10606-010-9117-8. DOI: https://doi.org/10.1007/s10606-010-9117-8
Gewin, V. (2016). Data Sharing : An Open Mind on Open Data. Nature, 529(7584), 117–119. https://doi.org/10.1038/nj7584-117a. DOI: https://doi.org/10.1038/nj7584-117a
Hand, D. J., Mannila, H., & Smyth, P. (2001). Principles of Data Mining. MIT Press.
Hess, C., & Ostrom, E. (2007). Understanding Knowledge as a Commons : From Theory to Practice. MIT Press. DOI: https://doi.org/10.7551/mitpress/6980.001.0001
Hesse, B. W. (2018). Can Psychology Walk the Walk of Open Science ? American Psychologist, 73, 126–137. https://doi.org/10.1037/amp0000197. DOI: https://doi.org/10.1037/amp0000197
Jones, K., & Alexander, S. M. (2018). Qualitative Data Sharing and Re-Use for Socio-Environmental Systems Research : A Synthesis of Opportunities, Challenges, Resources and Approaches. https://doi.org/10.13016/M2WH2DG59.
Karasti, H., & Blomberg, J. (2017). Studying Infrastructuring Ethnographically. Computer Supported Cooperative Work (CSCW), 27(2), 233–265. https://doi.org/10.1007/s10606-017-9296-7. DOI: https://doi.org/10.1007/s10606-017-9296-7
Late, E., & Kekäläinen, J. (2020). Use and Users of a Social Science Research Data Archive. PLOS ONE, 15(8). https://doi.org/10.1371/journal.pone.0233455. DOI: https://doi.org/10.1371/journal.pone.0233455
Leonelli, S. (2010). Packaging Small Facts for Re-Use : Databases in Model Organism Biology. In M. S. Morgan & P. Howlett (Eds.), How Well Do Facts Travel ? The Dissemination of Reliable Knowledge –348). Cambridge University Press. https://doi.org/10.1017/CBO9780511762154.017. DOI: https://doi.org/10.1017/CBO9780511762154.017
Longo, D. L., & Drazen, J. M. (2016). Data Sharing. New England Journal of Medicine, 374(3), 276–277. https://doi.org/10.1056/NEJMe1516564. DOI: https://doi.org/10.1056/NEJMe1516564
Mayernik, M. S. (2015). Research Data and Metadata Curation as Institutional Issues. Journal of the Association for Information Science and Technology, 67(4), 973–993. https://doi.org/10.1002/asi.23425. DOI: https://doi.org/10.1002/asi.23425
Mayernik, M. S., & Acker, A. (2017). Tracing the Traces : The Critical Role of Metadata Within Networked Communications. Journal of the Association for Information Science and Technology, 69(1), 177–180. https://doi.org/10.1002/asi.23927. DOI: https://doi.org/10.1002/asi.23927
Murphy, F. (2018). Open Access, Open Data, FAIR Data and their Implications for Life Sciences Researchers. Emerging Topics in Life Sciences, 2(6), 759–762. https://doi.org/10.1042/ETLS20180163. DOI: https://doi.org/10.1042/ETLS20180163
Nelson, B. (2009). Data Sharing : Empty Archives. Nature, 461(7261), 160–163. https://doi.org/10.1038/461160a. DOI: https://doi.org/10.1038/461160a
Nelson, L. D., Simmons, J., & Simonsohn, U. (2018). Psychology’s Renaissance. Annual Review of Psychology, 69(1), 511–534. https://doi.org/10.1146/annurev-psych-122216-011836. DOI: https://doi.org/10.1146/annurev-psych-122216-011836
Nosek, B. (2019). The Rise of Open Science in Psychology, A Preliminary Report.
Open Knowledge Foundation (2015). Open Definition : Defining Open in Open Data, Open Content and Open Knowledge. (n.d.). Retrieved from 2023, May 13.
Pasquetto, I. (2018). PhD Dissertation - From Open Data to Knowledge Production : Biomedical Data Sharing and Unpredictable Data Reuses.
Pasquetto, I. V., Borgman, C. L., & Wofford, M. F. (2019). Use and Reuses of Scientific Data : The Data Creators’ Advantage : Supplementary Materials. Harvard Data Science Review, 1(2). https://doi.org/10.1162/99608f92.af83430a. DOI: https://doi.org/10.1162/99608f92.fc14bf2d
Pasquetto, I. V., Randles, B. M., & Borgman, C. L. (2017). On the Reuse of Scientific Data. Data Science Journal, 16(8), 1–9. https://doi.org/10.5334/dsj-2017-008. DOI: https://doi.org/10.5334/dsj-2017-008
Pienta, A., Alter, G., & Lyle, J. (n.d.). The Enduring Value of Social Science Research : The Use and Reuse of Primary Research Data : Paper - iPRES 2011 - Singapore. Retrieved from 2023, May 13.
Piwowar, H. A., & Vision, T. J. (2013). Data Reuse and the Open Data Citation Advantage. PeerJ, 1, e175. https://doi.org/10.7717/peerj.175. DOI: https://doi.org/10.7717/peerj.175
Prieto, A. G. (2009). From Conceptual to Perceptual Reality : Trust in Digital Repositories. Library Review, 58(8), 593–606. https://doi.org/10.1108/00242530910987082. DOI: https://doi.org/10.1108/00242530910987082
Roche, D. G., Kruuk, L. E. B., Lanfear, R., & Binning, S. A. (2015). Public Data Archiving in Ecology and Evolution : How Well Are We Doing ? PLOS Biology, 13(11). https://doi.org/10.1371/journal.pbio.1002295. DOI: https://doi.org/10.1371/journal.pbio.1002295
Sarpatwari, A., Kesselheim, A. S., Malin, B. A., Gagne, J. J., & Schneeweiss, S. (2014). Ensuring Patient Privacy in Data Sharing for Postapproval Research. New England Journal of Medicine, 371(17), 1644–1649. https://doi.org/10.1056/NEJMsb1405487. DOI: https://doi.org/10.1056/NEJMsb1405487
Schiermeier, Q. (2018). Data Management Made Simple. Nature, 555(7696), 403–405. https://doi.org/10.1038/d41586-018-03071-1. DOI: https://doi.org/10.1038/d41586-018-03071-1
Schmidt, B., Gemeinholzer, B., & Treloar, A. (2016). Open Data in Global Environmental Research : The Belmont Forum’s Open Data Survey. PLOS ONE, 11(1). https://doi.org/10.1371/journal.pone.0146695. DOI: https://doi.org/10.1371/journal.pone.0146695
Shrout, P. E., & Rodgers, J. L. (2018). Psychology, Science, and Knowledge Construction : Broadening Perspectives from the Replication Crisis. Annual Review of Psychology, 69(1), 487–510. https://doi.org/10.1146/annurev-psych-122216-011845. DOI: https://doi.org/10.1146/annurev-psych-122216-011845
Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., Manoff, M., & Frame, M. (2011). Data Sharing by Scientists : Practices and Perceptions. PLoS ONE, 6(6). https://doi.org/10.1371/journal.pone.0021101. DOI: https://doi.org/10.1371/journal.pone.0021101
Tenopir, C., Dalton, E. D., Allard, S., Frame, M., Pjesivac, I., Birch, B., Pollock, D., & Dorsett, K. (2015). Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide. PLOS ONE, 10(8). https://doi.org/10.1371/journal.pone.0134826. DOI: https://doi.org/10.1371/journal.pone.0134826
Tenopir, C., Rice, N. M., Allard, S., Baird, L., Borycz, J., Christian, L., Grant, B., Olendorf, R., & Sandusky, R. J. (2020). Data Sharing, Management, Use, and Reuse : Practices and Perceptions of Scientists Worldwide. PLOS ONE, 15(3). https://doi.org/10.1371/journal.pone.0229003. DOI: https://doi.org/10.1371/journal.pone.0229003
Wallis, J. C., Rolando, E., & Borgman, C. L. (2013). If We Share Data, Will Anyone Use Them ? Data Sharing and Reuse in the Long Tail of Science and Technology. PLoS ONE, 8(7). https://doi.org/10.1371/journal.pone.0067332. DOI: https://doi.org/10.1371/journal.pone.0067332
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., Da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for Scientific Data Management and Stewardship. Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18. DOI: https://doi.org/10.1038/sdata.2016.18
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Dr. Rituparna Basak
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
