Compartir datos de investigación: reflexiones desde el ethos de la ciencia de Robert K. Merton

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Omar Díaz Fragoso http://orcid.org/0000-0001-7271-9469
Gabriela María Luisa Riquelme Alcantar http://orcid.org/0000-0001-7775-2938
Gibrán Rivera González http://orcid.org/0000-0003-2805-5524

Resumen

Se analiza el interés de los científicos en compartir datos de investigación con base en el ethos de la ciencia de Robert K. Merton. Se revisaron treinta documentos científicos, resultado de búsquedas en bases de datos como Scopus y Web of Science; el análisis interpretativo del contenido se realizó con el programa ATLAS.ti. Entre los hallazgos destacan diversos factores asociados a la negación de los científicos para compartir datos en la ciencia. Asimismo, se encontraron otros posicionamientos que promueven una concientización a favor de distribuirlos, pues el bien común está por encima de los intereses particulares. Finalmente, se constata que el ethos es una propuesta apropiada para examinar el interés de los investigadores en la distribución de datos de investigación. 

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Como citar
DÍAZ FRAGOSO, Omar; RIQUELME ALCANTAR, Gabriela María Luisa; RIVERA GONZÁLEZ, Gibrán. Compartir datos de investigación: reflexiones desde el ethos de la ciencia de Robert K. Merton. CIENCIA ergo-sum, [S.l.], v. 29, n. 1, feb. 2022. ISSN 2395-8782. Disponible en: <https://cienciaergosum.uaemex.mx/article/view/14389>. Fecha de acceso: 20 mayo 2022 doi: https://doi.org/10.30878/ces.v29n1a3.
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Ciencias sociales

Citas

Andreoli-Versbach, P., & Mueller-Langer, F. (2014). Open access to data: An ideal professed but not practised. Research Policy, 43(9), 1621-1633. https://doi.org/10.1016/j.respol.2014.04.008

Bisol, G. D., Anagnostou, P., Capocasa, M., Bencivelli, S., Cerroni, A., Contreras, J., & … Boulton, G. (2014). Perspectives on open science and scientific data sharing: An interdisciplinary workshop. Journal of Anthropological Sciences, 92(2014), 179-200. https://doi.org/10.4436/JASS.92006

Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059-1078. https://doi.org/https://doi.org/10.1002/asi.22634

Borgman, C. L. (2015). Big data, little data, no data: Scholarship in the networked world. Cambridge: MIT press.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/https://doi.org/10.1191/1478088706qp063oa

Bray, D., & von Storch, H. (2017). The normative orientations of climate scientists. Science and Engineering Ethics, 23(5), 13511367. https://doi.org/10.1007/s11948-014-9605-1

Brown, P. O., Cabell, D., Chakravarti, A., Cohen, B., Delamothe, T., Eisen, M., & … Johnson, R. K. (2003). Bethesda statement on open access publishing.

Buenrostro, E. (2017). La generación de valor a partir de los datos abiertos de gobierno. Disponible en https://www.infotec.mx/es_mx/infotec/la_generacion_de_valor_a_partir_de_los_datos_abiertos_de_gobierno

Bullinger, H.-J., Einhäupl, K. M., Gaehtgens, P., Gruss, P., Henkel, H.-O., Kröll, W., … Galluzzi, P. (2003). Berlin declaration on open access to knowledge in the sciences and humanities. Open Access to Knowledge in the Sciences and Humanities, 20-22.

Chan, L., Cuplinkas, D., Eisen, M., Friend, F., Genova, Y., Guédon, J.-C., & … Velterop, J. (2002). Budapest Open Access Initiative. Disponible en https://www.budapestopenaccessinitiative.org/read

Childs, S., McLeod, J., Lomas, E., & Cook, G. (2014). Opening research data: Issues and opportunities. Records Management Journal, 24(2), 142-162. https://doi.org/10.1108/RMJ-01-2014-0005

Choudhury, S., Fishman, J. R., McGowan, M. L., & Juengst, E. T. (2014). Big data, open science and the brain: Lessons learned from genomics. Frontiers in Human Neuroscience, 8, 1-10. https://doi.org/10.3389/fnhum.2014.00239

Cooper, M. (2007). Sharing data and results in ethnographic research: Why this should not be an ethical imperative. Journal of Empirical Research on Human Research Ethics, 2(1), 3-19. https://doi.org/https://doi.org/10.1525/jer.2007.2.1.3

Costello, M. J. (2009). Motivating online publication of data. BioScience, 59(5), 418-427. https://doi.org/10.1525/bio.2009.59.5.9

Cragin, M. H., Palmer, C. L., Carlson, J. R., & Witt, M. (2010). Data sharing, small science and institutional repositories. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1926), 4023-4038. https://doi.org/10.1098/rsta.2010.0165

DFO. (2013). Policy for Scientific Data. Retrieved from http://www.dfo-mpo.gc.ca/science/publications/datapolicy-politiquedonnees/index-eng.html#7-1

ERC. (2017). Guidelines on implementation of open access to scientific publications and research data in projects supported by the european research council under horizon 2020. Retrieved from https://ec.europa.eu/research/participants/data/ref/h2020/other/hi/oa-pilot/h2020-hi-erc-oa-guide_en.pdf

Fecher, B., Friesike, S., & Hebing, M. (2015). What drives academic data sharing? PLOS ONE, 10(2), e0118053. https://doi.org/10.1371/journal.pone.0118053

Hampton, S. E., Anderson, S. S., Bagby, S. C., Gries, C., Han, X., Hart, E. M., & … Zimmerman, N. (2015). The Tao of open science for ecology. Ecosphere, 6(7), https://doi.org/10.1890/es14-00402.1

Harper, L. M., & Kim, Y. (2018). Attitudinal, normative, and resource factors affecting psychologists’ intentions to adopt an open data badge: An empirical analysis. International Journal of Information Management, 41(2018), 23-32. https://doi.org/10.1016/j.ijinfomgt.2018.03.001

HEFCE, RCUK, Universities UK (UUK), & Wellcome. (2016). Concordat On Open Research Data. Retrieved from http://www.rcuk.ac.uk/documents/documents/concordatonopenresearchdata-pdf/

Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information Systems Management, 29(4), 258-268. https://doi.org/10.1080/10580530.2012.716740

Kim, S. Y., & Kim, Y. (2018). The ethos of science and its correlates: An empirical analysis of scientists’ endorsement of Mertonian norms. Science, Technology and Society, 23(1), 1-24. https://doi.org/10.1177/0971721817744438

Krishna, V. V. (2014). Changing social relations between science and society: Contemporary challenges. Science, Technology and Society, 19(2), 133-159. https://doi.org/10.1177/0971721814529876

Kuipers, T., & Van Der Hoeven, J. (2009). PARSE . Insight Insight into digital preservation of research output in Europe. Retrieved from http://www.parse-insight.eu/downloads/PARSE-Insight_D3-4_SurveyReport_final_hq.pdf

Ley de ciencia y tecnología (2015). Ciudad de México: Cámara de Diputados del H. Congreso de la Unión.

Link, G. J., Lumbard, K., Conboy, K., Feldman, M., & Feller, J. (2017). Contemporary issues of open data in information systems research: Considerations and recommendations. Communications of the Association for Information Systems, 41, 587-610. https://doi.org/https://doi.org/10.17705/1CAIS.04125

Lowndes, J. S. S., Best, B. D., Scarborough, C., Afflerbach, J. C., Frazier, M. R., O’Hara, C. C., &… Halpern, B. S. (2017). Our path to better science in less time using open data science tools. Nature Ecology and Evolution, 1(6). https://doi.org/10.1038/s41559-017-0160

Macfarlane, B., & Cheng, M. (2008). Communism, universalism and disinterestedness: Re-examining contemporary support among academics for Merton’s scientific norms. Journal of Academic Ethics, 6(1), 67-78. https://doi.org/10.1007/s10805-008-9055-y

McKiernan, E. C., Bourne, P. E., Brown, C. T., Buck, S., Kenall, A., Lin, J., & … Yarkoni, T. (2016). How open science helps researchers succeed. eLife, 5, 1-19. https://doi.org/10.7554/eLife.16800

Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: University of Chicago Press.

Murray-Rust, P., Neylon, C., Pollock, R., & Wilbanks, J. (2010). Panton principles, principles for open data in science. Panton Principles.

Nguyen, V. M., Brooks, J. L., Young, N., Lennox, R. J., Haddaway, N., Whoriskey, F. G., &… Cooke, S. J. (2017). To share or not to share in the emerging era of big data: Perspectives from fish telemetry researchers on data sharing.
Canadian Journal of Fisheries and Aquatic Sciences, 74(8), 1260-1274. https://doi.org/https://doi.org/10.1139/cjfas-2016-0261

NIH. (2003). NIH data sharing policy and implementation guidance. Retrieved fromhttps://grants.nih.gov/grants/policy/data_sharing/data_sharing_guidance.htm

NSF. (2013). Open Data at NSF. Retrieved from https://www.nsf.gov/data/

OECD. (2007). OECD Principles and guidelines for access to research data from public funding.

Olivé, L. (2007). La ciencia y la tecnología en la sociedad del conocimiento. Ciudad de México: Fondo de Cultura Económica.

Ontiveros, M. (2016). Datos abiertos de investigación. Caso México. Ciudad de México: Conacyt.

Pampel, H., & Dallmeier-Tiessen, S. (2014). Open research data: From vision to practice. In S. Friesike & S. Bartling (eds.), Opening science the evolving guide on how the internet is changing research, collaboration and scholarly publishing (pp. 213-224). Cham: Springer Open.

Pfenninger, S., DeCarolis, J., Hirth, L., Quoilin, S., & Staffell, I. (2017). The importance of open data and software: Is energy research lagging behind? Energy Policy, 101, 211-215. https://doi.org/10.1016/j.enpol.2016.11.046

Pitt, M. A., & Tang, Y. (2013). What should be the data sharing policy of cognitive science? Topics in Cognitive Science, 5(1), 214-221. https://doi.org/10.1111/tops.12006

Poldrack, R. A., & Gorgolewski, K. J. (2014). Making big data open: Data sharing in neuroimaging. Nature Neuroscience, 17(11), 1510-1517. https://doi.org/10.1038/nn.3818

Rutjens, B. T., Heine, S. J., Sutton, R. M., & van Harreveld, F. (2018). Attitudes towards science. Advances in Experimental Social Psychology, 57, 125-165. https://doi.org/https://doi.org/10.1016/bs.aesp.2017.08.001

Sayogo, D. S., & Pardo, T. A. (2013). Exploring the determinants of scientific data sharing: Understanding the motivation to publish research data. Government Information Quarterly, 30, S19-S31. https://doi.org/10.1016/j.giq.2012.06.011

Sedransk, N., Young, L. J., Kelner, K. L., Moffitt, R. A., Thakar, A., Raddick, J., & … Spiegelman, C. (2010). Make research data public?-Not Always so Simple: A dialogue for statisticians and science editors. Statistical Science, 25(1), 41-50. https://doi.org/10.1214/10-sts320

Slaughter, S., & Rhoades, G. (2004). Academic capitalism and the new economy: Markets, state, and higher education. Baltimore: The Johns Hopkins University Press.

Smith, K. N., & Makel, M. C. (2019). Open science: A candid conversation. Journal of Advanced Academics, 30(2), 111-123. https://doi.org/https://doi.org/10.1177/1932202X19829750

Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., &… Frame, M. (2011). Data sharing by scientists: Practices and perceptions. PLOS ONE, 6(6), e21101. https://doi.org/10.1371/journal.pone.0021101

Vinck, D. (2014). Ciencias y sociedad. Sociología del trabajo científico. Barcelona: Editorial Gedisa.

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), e67332. https://doi.org/https://doi.org/10.1371/journal.pone.0067332

Wicherts, J. M. (2011). Psychology must learn a lesson from fraud case. Nature, 480(7375), 7. https://doi.org/10.1038/480007a

Wiley, C., & Mischo, W. H. (2016). Data management practices and perspectives of atmospheric scientists and engineering faculty. Issues in Science and Technology Librarianship, 85, 1-7. https://doi.org/10.5062/F43X84NJ

Zuiderwijk, A., & Spiers, H. (2019). Sharing and re-using open data: A case study of motivations in astrophysics. International Journal of Information Management, 49, 228-241. https://doi.org/10.1016/j.ijinfomgt.2019.05.024