Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio

Innovación tecnológica y datos

Vol. 16 Núm. 16 (2022): Transformación digital como propuesta de valor para la competitividad ISBN 978-607-96203-0-11

Los datos abiertos pos-COVID-19: perspectiva a partir de la producción científica

diciembre 2, 2022


Los datos abiertos también se vieron afectados por la pandemia por COVID-19 a partir del año 2020, así lo demuestra la producción científica desde esa fecha, por lo que este trabajo analiza las representaciones gráficas generadas por la herramienta VOSviewer a través de registros semánticos extraídos del repositorio Scopus, su interrelación y temporalidad para la identificación de tendencias en perspectiva en los años posteriores al Coronavirus SARS-COV-2; los metadatos apuntan al interés por la investigación problemas sociales y del entorno, vinculados a los problemas propiciados por la crisis que generó la pandemia y la integración creciente de estos con las cuestiones pre-pandemia.


  1. Aleixandre-Benavent, R., Ferrer Sapena, A., y Peset, F. (2021). Compartir los recursos útiles para la investigación: Datos abiertos (open data). Educación Médica, 22, 208–215.
  2. Ali, S., Zada, I., Mehmood, Z., Ullah, A., Ali, H., y Ullah, M. (2022). Publishing and Interlinking COVID-19 Data Using Linked Open Data Principles: Toward Effective Healthcare Planning and Decision-Making. Mathematical Problems in Engineering, 2022, 1–16.
  3. Almeida, F. (2021). Open Data’s Role in Social Innovation Initiatives to Fight COVID-19. Central European Management Journal, 29(3).
  4. Benning, O., Calles, J., Kantarci, B., y Khan, S. (2021). Transit Networks, Social Contacts, and Open Data Meet Public Transportation Plans for Post-COVID-19: A Canadian Case Study. IEEE Engineering Management Review, 49(3), 30–41.
  5. Centre for Science and Technology Studies, L. U. (s/f). VOSviewer. Recuperado el 20 de octubre de 2018, de
  6. Chen, Y., Li, S., Wu, W., Geng, S., y Mao, M. (2022). Distinct mutations and lineages of SARS‐ CoV‐2 virus in the early phase of COVID‐19 pandemic and subsequent 1‐year global expansion. Journal of Medical Virology, 94(5), 2035–2049.
  7. Dipta, D., y Naoki, F. (2021). Toward Efficient Analysis of Open Data and Social Phenomenon -a Case Study on Weather Influence on Spreading of SARS-CoV-2. 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI), 903–906.
  8. Elsevier B.V. (s/f). Scopus. Recuperado el 18 de octubre de 2018, de
  9. Eugene, A., Alpert, N., Lieberman-Cribbin, W., y Taioli, E. (2021). Trends in COVID-19 School Related Inquiries Using 311 New York City Open Data. Journal of Community Health, 46(6),1177–1182.
  10. Francini, S., McRoberts, R. E., D’Amico, G., Coops, N. C., Hermosilla, T., White, J. C., Wulder, M. A., Marchetti, M., Mugnozza, G. S., y Chirici, G. (2022). An open science and open data approach for the statistically robust estimation of forest disturbance areas. International Journal of Applied Earth Observation and Geoinformation, 106, 102663.
  11. Gkiouras, K., Nigdelis, M. P., Grammatikopoulou, M. G., y Goulis, D. G. (2020). Tracing open data in emergencies: The case of the COVID‐19 pandemic. European Journal of Clinical Investigation, 50(9).
  12. Hagen, L., Sandoval-Almazan, R., Okhuijsen, S., Cabaco, S., A. Ruvalcaba-Gomez, E., Villodre, J., Sung, W., y Valle-Cruz, D. (2021). Open Government and Open Data in Times of COVID19. DG.O2021: The 22nd Annual International Conference on Digital Government Research, 598–600.
  13. Kobayashi, S., Falcón, L., Fraser, H., Braa, J., Amarakoon, P., Marcelo, A., y Paton, C. (2021). Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic. Yearbook of Medical Informatics, 30(01), 038–043.
  14. McClary-Gutierrez, J. S., Aanderud, Z. T., Al-faliti, M., Duvallet, C., Gonzalez, R., Guzman, J., Holm, R. H., Jahne, M. A., Kantor, R. S., Katsivelis, P., Kuhn, K. G., Langan, L. M., Mansfeldt, C., McLellan, S. L., Mendoza Grijalva, L. M., Murnane, K. S., Naughton, C. C.,Packman, A. I., Paraskevopoulos, S., … Delgado Vela, J. (2021). Standardizing data reporting in the research community to enhance the utility of open data for SARS-CoV-2 wastewater surveillance. Environmental Science: Water Research & Technology, 7(9), 1545–1551.
  15. Miljenović, D., y Beriša, B. (2022). Pandemics trends in E-commerce: Drop shipping entrepreneurship during COVID-19 pandemic. Pomorstvo, 36(1), 31–43.
  17. Pecoraro, F., y Luzi, D. (2021). Open Data Resources on COVID-19 in Six European Countries: Issues and Opportunities. International Journal of Environmental Research and Public Health, 18(19), 10496.
  18. Petrovich, E. (2022). Bibliometrics in Press. Representations and uses of bibliometric indicators in the Italian daily newspapers. Scientometrics, 127(5), 2195–2233.
  20. Pujo, J. M., Fitriani, D. Y., Adi, N. P., Portecop, P., Resiere, D., Mansyur, M., y Kallel, H. (2022). COVID-19 Outbreak: Burnout and Posttraumatic Stress Disorder, a Harmful Chronology for Health Caregivers in Emergency Departments and Intensive Care Units. Disaster Medicine and Public Health Preparedness, 1–2.
  21. Simuț, C. C., Petrila, L., Popescu, F.-A., y Oprea, I. M. (2021). Challenges and Opportunities for Telecommuting in the School System: Building a Sustainable Online Education in the Context of the SARS-Cov-2 Pandemic. Sustainability, 13(18), 10296.
  22. Sohel, D., y Md. Rabiul, I. (2022). The SARS‐CoV‐2 omicron wave is indicating the end of the pandemic phase but the COVID‐19 will continue. Journal of Medical Virology, 94(6), 2343– 2345.
  23. Straub, F., Streppel, S., y Göhlich, D. (2021). Methodology for Estimating the Spatial and Temporal Power Demand of Private Electric Vehicles for an Entire Urban Region Using Open Data. Energies, 14(8), 2081.
  24. Strcic, J., Civljak, A., Glozinic, T., Pacheco, R. L., Brkovic, T., y Puljak, L. (2022). Open data and data sharing in articles about COVID-19 published in preprint servers medRxiv and bioRxiv. Scientometrics, 127(5), 2791–2802.
  25. van Eck, N. J., y Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. 0146-3
  26. van Eck, N. J., y Waltman, L. (2014). Visualizing Bibliometric Networks. En Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring Scholarly Impact (pp. 285–320). Springer International Publishing.
  27. Wahltinez, O., Cheung, A., Alcantara, R., Cheung, D., Daswani, M., Erlinger, A., Lee, M., Yawalkar, P., Lê, P., Navarro, O. P., Brenner, M. P., y Murphy, K. (2022). COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease. Scientific Data, 9(1), 162.
  28. Wardle, J. A., Sagan, V., y Mohammed, F. (2022). Using open data cube on the cloud to investigate food security by means of cropland changes in djibouti. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2022, 1039– 1044.