Mostrar el registro sencillo del ítem
Sustainability in the management of scientific information
dc.contributor.author | Medina-Torres, Miguel Ángel | |
dc.date.accessioned | 2022-01-24T10:34:00Z | |
dc.date.available | 2022-01-24T10:34:00Z | |
dc.date.created | 2022-01-24 | |
dc.date.issued | 2020-09-25 | |
dc.identifier.citation | Sustain Sci 16: 329-336, 2021 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10630/23658 | |
dc.description.abstract | The sustainability in the management of scientific information is becoming compromised in this new age of Big Data. Herein, I present and discuss some of the main challenges of this situation in both scientific practice and scientific communication. A major challenge is trying to fill the growing gap between the rate at which new data accumulated and the rate at which these yield new knowledge. Another major challenge is the current hypertrophy of science publications contributing to the Red Queen effect in the scientific activity and to the "publish or perish" policy. All the previously mentioned circumstances contribute to the imposition of urgency and immediacy in the practice of science, leaving too little time to reflect what, why, and how we are researching. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science, Innovation and Universities (Grant PID2019-105010RB-I00), Andalusian Government and FEDER (UMA18-FEDERJA-220 and funds from group BIO 267), as well as funds from the University of Málaga ("Plan Propio de Investigación y Transferencia"). The "CIBER de Enfermedades Raras" is an initiative from the ISCIII (Spain). The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.relation.ispartofseries | Sustainability Science;16 | |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Información científica y técnica | |
dc.subject.other | Big Data | es_ES |
dc.subject.other | Moore's law | es_ES |
dc.subject.other | Red queen effect | es_ES |
dc.subject.other | Slow science | es_ES |
dc.title | Sustainability in the management of scientific information | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.centro | Facultad de Ciencias | es_ES |
dc.cclicense | ||
dc.identifier.doi | 10.1007/s11625-020-00864-0 | |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/submittedVersion |