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Repositorio de la Red Internacional de Investigadores en Competitividad

Innovación tecnológica y datos

Vol. 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

Enviado
diciembre 2, 2022
Publicado
2023-01-23

Resumen

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.

Citas

  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. https://doi.org/10.1016/j.edumed.2019.07.004
  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. https://doi.org/10.1155/2022/4792909
  3. Almeida, F. (2021). Open Data’s Role in Social Innovation Initiatives to Fight COVID-19. Central European Management Journal, 29(3). https://doi.org/10.7206/cemj.2658-0845.51
  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. https://doi.org/10.1109/EMR.2021.3103158
  5. Centre for Science and Technology Studies, L. U. (s/f). VOSviewer. Recuperado el 20 de octubre de 2018, de http://www.vosviewer.com
  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. https://doi.org/10.1002/jmv.27580
  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. https://doi.org/10.1109/IIAI-AAI53430.2021.00157
  8. Elsevier B.V. (s/f). Scopus. Recuperado el 18 de octubre de 2018, de https://www.scopus.com
  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. https://doi.org/10.1007/s10900-021-01006-y
  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. https://doi.org/10.1016/j.jag.2021.102663
  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). https://doi.org/10.1111/eci.13323
  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. https://doi.org/10.1145/3463677.3463740
  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. https://doi.org/10.1055/s0041-1726488
  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. https://doi.org/10.1039/D1EW00235J
  15. Miljenović, D., y Beriša, B. (2022). Pandemics trends in E-commerce: Drop shipping entrepreneurship during COVID-19 pandemic. Pomorstvo, 36(1), 31–43.
  16. https://doi.org/10.31217/p.36.1.4
  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. https://doi.org/10.3390/ijerph181910496
  18. Petrovich, E. (2022). Bibliometrics in Press. Representations and uses of bibliometric indicators in the Italian daily newspapers. Scientometrics, 127(5), 2195–2233.
  19. https://doi.org/10.1007/s11192-022-04341-6
  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. https://doi.org/10.1017/dmp.2022.24
  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. https://doi.org/10.3390/su131810296
  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. https://doi.org/10.1002/jmv.27635
  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. https://doi.org/10.3390/en14082081
  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. https://doi.org/10.1007/s11192-022-04346-1
  25. van Eck, N. J., y Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009- 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. https://doi.org/10.1007/978-3-319-10377-8_13
  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. https://doi.org/10.1038/s41597-022-01263-z
  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. https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1039-2022