Motivación, barreras e incentivos para la compartición y reutilización de los datos de investigación. Visión de los investigadores

  1. Carolina Navarro-Molina 1
  2. Remedios Melero 2
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  2. 2 Consejo Superior de Investigaciones Científicas (CSIC). Instituto de Agroquímica y Tecnología de Alimentos (IATA)
Revista:
El profesional de la información

ISSN: 1386-6710 1699-2407

Año de publicación: 2019

Título del ejemplar: Comunicación organizacional / Organizational communication

Volumen: 28

Número: 5

Tipo: Artículo

DOI: 10.3145/EPI.2019.SEP.16 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: El profesional de la información

Resumen

Compartir en abierto y facilitar el acceso a los datos de investigación, su uso y reutilización no son prácticas habituales entre los investigadores, a excepción de determinadas disciplinas, como la meteorología, la genética o la astronomía. Las políticas de las instituciones, de algunas editoriales y de las agencias que financian la investigación han provocado que esta cultura de compartir y gestionar los datos de investigación cobre una especial relevancia. Sin embargo, existen barreras como el miedo de los investigadores a que les quiten la primicia y a ser copiados, a que se haga un mal uso de sus datos, a perder el control o infringir la legislación sobre la propiedad intelectual, con las que se enfrenta la comunidad científica para poder hacer que sus datos sean localizables, accesibles, interoperables y reutilizables (datos FAIR). En este trabajo se han analizado los pros y los contras de compartir y reutilizar los datos, basándonos en trabajos previos que han permitido vislumbrar hábitos y opiniones de los investigadores a este respecto.

Información de financiación

Las autoras agradecen al Ministerio de Ciencia, Innovación y Universidades la concesión del proyecto de Plan Nacional con el código RTI2018-094360-B-I00.

Financiadores

Referencias bibliográficas

  • ANDS (2017). Data policies and journals. Australian National Data Service. https://www.ands.org.au/working-with-data/publishing-and-reusing-data/data-journals/data-policies-and-journals
  • Berghmans, Stephane; Cousijn, Helena; Deakin, Gemma; Meijer, Ingeborg; Mulligan, Adrian; Plume, Andrew; De-Rijcke, Sarah; Rushforth, Alex; Tatum, Clifford; Van-Leeuwen, Thed; Waltman, Ludo (2017). Open data: the researcher perspective. https://www.universiteitleiden.nl/en/research/research-output/social-and-behavioural-sciences/open-data-the-researcher-perspective
  • Bill & Melinda Gates Foundation (2015). Bill & Melinda Gates Foundation open access policy. https://www.gatesfoundation.org/how-we-work/general-information/open-access-policy
  • Candela, Leonardo; Castelli, Donatella; Manghi, Paolo; Tani, Alice (2015). “Data journals: A survey”. Journal of the Association for Information Science and Technology, v. 66, n. 9, pp. 1747-1762. https://doi.org/10.1002/asi.23358
  • Costello, Mark J. (2009). “Motivating online publication of data”. BioScience, v. 59, n. 5, pp. 418-427. https://doi.org/10.1525/bio.2009.59.5.9
  • Damalas, Dimitrios; Kalyvioti, Grigoria; Sabatella, Evelina; Stergiou, Konstantinos I. (2018). “Open data in the life sciences: The ‘Selfish scientist paradox’”. Ethics in science and environmental politics, n. 18, pp. 27-36. https://doi.org/10.3354/esep00182
  • Eckes, Annemarie (2018). Results from survey on: Assessment of awareness of FAIR principles and data management practices for early career scientists (PhDs) in geography. Dataset. https://doi.org/10.17863/CAM.18831
  • ERC (2017). Open research data and data management plans - Information for ERC grantees by the ERC Scientific Council. European Research Council. https://erc.europa.eu/sites/default/files/document/file/ERC_info_document-Open_Research_Data_and_Data_Management_Plans.pdf
  • Erdmann, Christopher; Simmons, Natasha; Otsuji, Reid; Labou, Stephani; Johnson, Ryan; Castelao, Guilherme; Vilas-Boas, Bia; Lamprecht, Anna-Lena; Martínez-Ortiz, Carlos; García, Leyla; Kuzak, Mateusz; Martínez, Paula-Andrea; Stokes, Liz; Honeyman, Tom; Wise, Sharyn; Quan, Josh; Peterson, Scott; Neeser, Amy; Karvovskaya, Lena; [...] (2019). Top 10 FAIR data & software things. Zenodo. https://doi.org/10.5281/zenodo.2555498
  • European Commission (2016a). Guidelines on FAIR data management in Horizon 2020. European Commission, Directorate General for Research & Innovation. http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
  • European Commission (2016b). Draft European open science agenda. European Commission, Directorate General for Research & Innovation. https://ec.europa.eu/research/openscience/pdf/draft_european_open_science_agenda.pdf#view=fit&pagemode=none
  • European Commission (2017a). Providing researchers with the skills and competencies they need to practise open science. European Commission, Directorate General for Research & Innovation. https://doi.org/10.2777/121253
  • European Commission (2017b). Evaluation of research careers fully acknowledging open science practices. Rewards, incentives and/or recognition for researchers practicing Open Science. European Commission. Directorate General for Research & Innovation. https://doi.org/10.2777/75255
  • European Commission (2018a). Open Science Policy Platform. https://ec.europa.eu/research/openscience/index.cfm?pg=open-science-policy-platform#
  • European Commission (2018b). Turning FAIR into reality. Final report and action plan from the European Commission expert group on FAIR data. European Commission, Directorate General for Research & Innovation. https://doi.org/10.2777/1524
  • Fecher, Benedikt; Friesike, Sascha; Hebing Marcel; Linek, Stephanie (2017). “A reputation economy: How individual reward considerations trump systemic arguments for open access to data”. Palgrave communications, n. 3, pp. 17051. https://doi.org/10.1057/palcomms.2017.51
  • Fusi, Federica; Manzella, Daniele; Louafi, Selim; Welch, Eric (2018). “Building global genomics initiatives and enabling data sharing: Insights from multiple case studies”. Omics: A journal of integrative biology, v. 22, n. 4. https://doi.org/10.1089/omi.2017.0214
  • García-García, Alicia; López-Borrull, Alexandre; Peset, Fernanda (2015). “Data journals: eclosión de nuevas revistas especializadas en datos”. El profesional de la información, v. 24, n. 6, pp. 845-854. https://doi.org/10.3145/epi.2015.nov.17
  • Gonçalves-Curty, Renata; Crowston, Kevin; Specht, Alison; Grant, Bruce W.; Dalton, Elizabeth D. (2017). “Attitudes and norms affecting scientists’ data reuse”. PLoS one, v. 12, n. 12, e0189288. https://doi.org/10.1371/journal.pone.0189288
  • Harper, Lindsey M.; Kim, Youngseek (2018). “Attitudinal, normative, and resource factors affecting psychologists’ intentions to adopt an open data badge: An empirical analysis”. International journal of information management, v. 41, pp. 23-32. https://doi.org/10.1016/j.ijinfomgt.2018.03.001
  • Herold, Philip (2015). “Data sharing among ecology, evolution, and natural resources scientists: An analysis of selected publications”. Journal of librarianship & scholarly communication, v. 3, n. 2, pp. 1-23. https://doi.org/10.7710/2162-3309.1244
  • Houtkoop, Bobby L.; Chambers, Chris; Macleod, Malcolm; Bishop, Dorothy V. M.; Nichols, Thomas E.; Wagenmakers, Eric-Jan (2018). “Data sharing in psychology: A survey on barriers and preconditions”. Advances in methods and practices in psychological science, v. 1, n. 1, pp. 70-85. https://doi.org/10.1177/2515245917751886
  • Hrynaszkiewicz, Iain; Simons, Natasha; Hussain, Azhar; Goudie, Simon (2019). Developing a research data policy framework for all journals and publishers. Figshare. Preprint. https://doi.org/10.6084/m9.figshare.8223365.v1
  • Johnson, Rob; Chiarelli, Andrea; Parsons, Tom (2016). Data asset framework (DAF) survey results 2016. Figshare. https://figshare.com/articles/Data_asset_framework_DAF_survey_results_2016/3796305
  • Kidwell, Mallory C.; Lazarević, Ljiljana B.; Baranski, Erica; Hardwicke, Tom E.; Piechowski, Sarah; Falkenberg, Lina-Sophia; Kennett, Curtis; Slowik, Agnieszka; Sonnleitner, Carina; Hess-Holden, Chelsey; Errington, Timothy M.; Fiedler, Susann; Nosek, Brian A. (2016). “Badges to acknowledge open practices: A simple, low-cost, effective method for increasing transparency”, PLoS biology, v. 14, n. 5, e1002456. https://doi.org/10.1371/journal.pbio.1002456
  • Kim, Youngseek; Adler, Melissa (2015). “Social scientists’ data sharing behaviors: Investigating the roles of individual motivations, institutional pressures, and data repositories”. International journal of information management, v. 35, n. 4, pp. 408-418. https://doi.org/10.1016/j.ijinfomgt.2015.04.007
  • Kim, Youngseek; Oh, Jong-Sir (2018). “Disciplinary, institutional, and individual factors affecting researchers’ depositing articles in institutional repository: An empirical analysis”. The journal of academic librarianship, v. 44, n. 6, pp. 824-832. https://doi.org/10.1016/j.acalib.2018.09.013
  • Kim, Jeonghyun; Schuler, Eric R.; Pechenina, Anna (2017). “Predictors of data sharing and reuse behavior in academic communities”. In: Alemneh, Daniel G.; Allen, Jeff; Hawamdeh, Suliman. Knowledge discovery and data design innovation. Proceedings of the Intl conf on knowledge management (ICKM 2017), pp. 1-25. ISBN: 978 981 3234 47 5 https://doi.org/10.1142/9789813234482_0001
  • Kim, Youngseek; Stanton, Jeffrey, M. (2016). “Institutional and individual factors affecting scientists’ data-sharing behaviors: A multilevel analysis”. Journal of the Association for Information Science and Technology, v. 67, n. 4, pp. 776-799. https://doi.org/10.1002/asi.23424
  • Kratz, John E.; Strasser, Carly (2015). “Making data count”. Scientific data, n. 2, article n. 150039. https://doi.org/10.1038/sdata.2015.39
  • Michener, William K. (2015). “Ecological data sharing”. Ecological informatics, v. 29, pp. 33-44. https://doi.org/10.1016/j.ecoinf.2015.06.010
  • Missier, Paolo (2016). “Data trajectories: Tracking reuse of published data for transitive credit attribution”. International journal of digital curation, v. 11, n. 1. https://doi.org/10.2218/ijdc.v11i1.425
  • National Science Foundation (2011). Increasing access to the results of research funded by the National Science Foundation. http://www.nsf.gov/pubs/2015/nsf15052/nsf15052.pdf
  • Pampel, Heinz; Dallmeier-Tiessen, Suenje (2014). “Open research data: From vision to practice”. Semantic scholar. https://doi.org/10.1007/978-3-319-00026-8_14
  • Parlamento Europeo (2019). Resolución legislativa, 4 de abril de 2019, sobre la Directiva del Parlamento Europeo y del Consejo relativa a la reutilización de la información del sector público (versión refundida). COM(2018)0234 – C8-0169/2018 – 2018/0111(COD). http://www.europarl.europa.eu/doceo/document/TA-8-2019-0352_ES.html
  • Pearce, Rebecca (2018). “Springer Nature launches open data badges pilot”. Research in progress blog, 8 October. https://blogs.biomedcentral.com/bmcblog/2018/10/08/springer-nature-launches-open-data-badges-pilot
  • Piwowar, Heather A. (2011). “Who shares? Who doesn’t? Factors associated with openly archiving raw research data”. PLoS one, v. 6, n. 7, e18657. https://doi.org/10.1371/journal.pone.0018657
  • Piwowar, Heather A.; Chapman, Wendy W. (2010). “Public sharing of research datasets: a pilot study of associations”. Journal of informetrics, v. 4, n. 2, pp. 148-156. https://doi.org/10.1016/j.joi.2009.11.010
  • Sayogo, Djoko-Sigit; Pardo, Theresa A. (2013). “Exploring the determinants of scientific data sharing: Understanding the motivation to publish research data”. Government information quarterly, v. 30, supp. 1, S19-S31. https://doi.org/10.1016/j.giq.2012.06.011
  • Schmidt, Birgit; Gemeinholzer, Birgit; Treloar, Andrew (2015). “Open data in global environmental research: The Belmont forum’s open data survey”. PLoS one, v. 11, n. 1, e0146695. https://doi.org/10.1371/journal.pone.0146695
  • Schöpfel, Joachim; Ferrant, Coline; André, Francis; Fabre, Renaud (2018). “Research data management in the French National Research Center (CNRS)”. Data technologies and applications, v. 52, n. 2, pp. 248-265. https://doi.org/10.1108/DTA-01-2017-0005
  • Socrata (2016). Open data benchmark study report. https://www.tylertech.com/products/socrata
  • Stodden, Victoria; Guo, Peixuan; Ma, Zhaokun (2013). “Toward reproducible computational research: An empirical analysis of data and code policy adoption by journals”. PLoS one, v. 8, n. 6, e67111. https://doi.org/10.1371/journal.pone.0067111
  • Stuart, David; Baynes, Grace; Hrynaszkiewicz, Iain; Allin, Katie; Penny, Dan; Lucraft, Mithu; Astell, Mathias (2018). Whitepaper: Practical challenges for researchers in data sharing. Figshare. https://doi.org/10.6084/m9.figshare.5975011.v1
  • Tenopir, Carol; Allard, Suzie; Douglass, Kimberly; Aydinoglu, Arsev U.; Wu, Lei; Read, Eleanor; Manoff, Maribeth; Frame, Mike (2011). “Data sharing by scientists: Practices and perceptions”. PLoS one, v. 6, n. 6, e21101. https://doi.org/10.1371/journal.pone.0021101
  • Tenopir, Carol; Dalton, Elizabeth D.; Allard, Suzie; Frame, Mike; Pjesivac, Ivanka; Birch, Ben; Pollock, Danielle; Dorsett, Kristina (2015). “Changes in data sharing and data reuse practices and perceptions among scientists worldwide”. PLoS one, v. 10, n. 8, e0134826. https://doi.org/10.1371/journal.pone.0134826
  • Van-den-Eynden, Veerle; Bishop, Libby (2014). Sowing the seed: Incentives and motivations for sharing research data, a researcher’s perspective. A Knowledge Exchange report. http://www.knowledge-exchange.info/projects/project/research-data/sowing-the-seed
  • Van-Panhuis, Willem G.; Paul, Proma; Emerson, Claudia; Grefenstette, John; Wilder, Richard; Herbst, Abraham J.; Heymann, David; Burke, Donald S. (2014). “A systematic review of barriers to data sharing in public health”. BMC public health, n. 14, pp. 1144. https://doi.org/10.1186/1471-2458-14-1144
  • Wallis, Jillian C.; Rolando, Elizabeth; Borgman, Christine L. (2013). “If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology”. PLoS one, v. 8, n. 7, e67332. https://doi.org/10.1371/journal.pone.0067332
  • Wellcome Trust (2010). Data, software and materials management and sharing policy. https://wellcome.ac.uk/funding/guidance/policy-data-software-materials-management-and-sharing
  • Wiley, Chistie (2018). “Data sharing and engineering faculty: An analysis of selected publications”. Science & technology libraries, v. 37, n. 4, pp. 409-419. https://doi.org/10.1080/0194262X.2018.1516596
  • Zenk-Möltgen, Wolfgang; Akdeniz, Esra; Katsanidou, Alexia; Naßhoven, Verena; Balaban, Ebru (2018). “Factors influencing the data sharing behavior of researchers in sociology and political science”. Journal of documentation, v. 74, n. 5, pp. 1053-1073. https://doi.org/10.1108/JD-09-2017-0126
  • Zhu, Yimei (2019). “Open-access policy and data-sharing practice in UK academia”. Journal of information science. First online. https://doi.org/10.1177/0165551518823174