04005nam#a2200541#c#4500 99372660128306441 DE-605 20250410161133.0 cr#||||||||||| 230705|2023####gw #####o#####|||#|#eng#c (DE-605)HT030065245 (DE-599)HBZHT030065245 38 M ger DE-605 DE-605 rda eng XA-DE DE-98 DE-38M 001 004 610 Dierkes, Jens (DE-588)1067541527 aut Verfasser Training concepts in research data management and data science with the focus on health research Jens Dierkes, Julia Fürst, Tanja Hörner, Sebastian Klammt, Birte Lindstädt, Iris Pigeot, Katja Restel, Carsten Oliver Schmidt, Dagmar Waltemath, Atinkut Zeleke for NFDI4Health ; NFDI4Health has received funding from the Deutsche Forschungsgemeinschaft (DFG) ; design, setting, layout: Alina Esken ; language editing: Andrew Rennison Cologne NFDI4Health [2023] 1 Online-Ressource (97 Seiten) Diagramme Text txt rdacontent Computer c rdamedia Online-Ressource cr rdacarrier This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) ; NFDI4Health has received funding from the Deutsche Forschungsgemeinschaft (DFG) under Grant Agreement no. 442326535. Data Train is supported by the U Bremen Research Alliance and the Federal State of Bremen. Open Access Unrestricted online access star The digital transformation taking place across all sectors and the associated increase in the importance of research data in gaining knowledge or innovating new technologies poses enormous challenges for the workforce, policy makers, funders, educational institutions, etc. In particular, it is essential to equip everyone with the skills or skill sets that are required (i) to handle the many facets of data, (ii) to understand their various constraints, (iii) to be able to make informed decisions about the appropriate use of available technologies, and (iv) to gain "wisdom" from the data. It is therefore crucial to start teaching basic skills while at school and to deepen them as early as possible, e.g. in academic training programmes. The field of data literacy tackles these issues and is an attempt to systematise tasks and corresponding skills by way of one or more frameworks. According to Ridsdale et al. (2015), "Data literacy is the ability to collect, manage, evaluate, and apply data, in a critical manner." Creative Commons Attribution 4.0 International License CC-BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Fürst, Julia (DE-588)1291607536 aut Verfasser Hörner, Tanja aut Verfasser Klammt, Georg Sebastian 1968- (DE-588)120292823 aut Verfasser Lindstädt, Birte (DE-588)105204266X aut Verfasser Pigeot, Iris 1960- (DE-588)172308437 aut Verfasser Restel, Katja (DE-588)1247771687 aut Verfasser Schmidt, Carsten 1968- (DE-588)129622087 aut Verfasser Waltemath, Dagmar 1981- (DE-588)1016855753 aut Verfasser Zeleke, Atinkut Alamirrew 1984- (DE-588)1195087748 aut Verfasser NFDI4Health - Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten Projekt (DE-588)1246206420 isb Herausgebendes Organ Deutsche Forschungsgemeinschaft (DE-588)2007744-0 spn Sponsor https://repository.publisso.de/resource/frl:6441348 Langzeitarchivierung 99372660128306441 DE-98 NRW d 99372660128306441 DE-38M NRW d iall OA 38 M: ellinet; GND: (DE-588)1246206420