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      Los datos abiertos en los estudios organizacionales: Reflexiones e implicaciones Translated title: Open data in organizational studies: Reflections and implications

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          Abstract

          Resumen: Los datos abiertos de investigación han cobrado importancia en la era del conocimiento al promover la colaboración y el desarrollo en la ciencia; sin embargo, no es habitual compartirlos en las ciencias sociales. El objetivo de este artículo es reflexionar las implicaciones de compartir datos en los estudios organizacionales cuya pertinencia radica en que este campo tiene particularidades que permiten introducir dicha práctica, pero también generan cuestionamientos acerca de su alcance. La reflexión versa en torno a los diseños de investigación, el tipo de datos generados y el rol de la subjetividad del investigador en dicho campo. Se concluye que este trabajo introduce el tema de datos abiertos en los estudios organizacionales, incentiva el debate sobre las implicaciones y da paso a una futura agenda de investigación donde se aborde la disposición de los investigadores del campo para compartir datos abiertos.

          Translated abstract

          Résumé: Les données de recherche ouvertes sont importantes à l’ère de la connaissance, car elles favorisent le développement de la science ; cependant, elles ne sont pas couramment partager dans les sciences sociales. C’est la raison pour laquelle l’objectif de ce document, est de réfléchir aux implications possibles du partage de données de recherche ouvertes dans les études organisationnelles. La pertinence réside dans le fait que ce domaine a des spécificités qui permettent d’introduire une telle pratique, mais qu’en même temps, suscite également des interrogations quant à sa portée. La réflexion tourne autour les modèles de recherche, les types de données générées, et le rôle de la subjectivité du chercheur dans ce domaine. On peut en conclure que cet article introduit le sujet des données ouvertes dans les études organisationnelles, stimule le débat sur les implications, et ouvre la voie à un futur programme de recherche, où l’on abordera la disposition des chercheurs des organisations à partager des données ouvertes.

          Translated abstract

          Abstract: Open research data have gained importance in the knowledge era, as they promote the development of science; however, open data sharing is not common in the social sciences. In view of this, the objective is to reflect on the possible implications of sharing open data in organizational studies. The relevance lies in the fact that this field has particularities that allow the introduction of this practice, but also generate questions about its scope. The reflection focuses on the research designs, the type of data generated and the role of the researcher’s subjectivity in this field. It is concluded that this work introduces the topic of open data in organizational studies, encourages the debate on the implications and gives way to a future research agenda, where the willingness of researchers in the field to share open data is addressed.

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          Data Sharing by Scientists: Practices and Perceptions

          Background Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers – data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results. Methodology/Principal Findings A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region. Conclusions/Significance Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles.
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            Case study research, and applications: Design and Methods

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              If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology

              Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.
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                Author and article information

                Journal
                trace
                Trace (México, DF)
                Trace (Méx. DF)
                Centro de Estudios Mexicanos y Centroamericanos (Ciudad de México, Ciudad de México, Mexico )
                0185-6286
                2007-2392
                2022
                : 82
                : 41-65
                Affiliations
                [1] orgnameUniversidad Autónoma de la Ciudad de México Mexico aydecadena@ 123456gmail.com
                [2] orgnameUniversidad Autónoma Metropolitana Mexico lorena.litai@ 123456gmail.com
                [3] orgnameInstituto Politécnico Nacional Mexico gibranrg@ 123456gmail.com
                Article
                S0185-62862022000200003 S0185-6286(22)00008200003
                10.22134/trace.82.2022.819
                30f312e1-5b0e-4573-ad7b-f9611e4b20ba

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 02 March 2022
                : 03 February 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 53, Pages: 25
                Product

                SciELO Mexico

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                Sección general

                transdisciplina,data sharing,open data,organizational studies,transdiscipline,sciences sociales,partage de données,données ouvertes,études organisationnelles,ciencias sociales,compartir datos,datos abiertos,estudios organizacionales,social sciences

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