Research Data Management metadata-driven studies survey corpus and coding

This dataset resulted from a survey over research data management metadriven studies. A summary of RDM studies was outlined that use at least one technique to engage researchers in the development of tools, or to improve and assess their metadata practices.To this end the Scopus database was searched, in January 2019, and 219 RDM entries that feature the concept “metadata” in the title or as a keyword were obtained. For a broader coverage of publications the list of 301 publications provided by the Perrier et al. scoping review was also assessed. The final corpus of analysis consisted of 14 studies that were coded according to their RDM context, motivation, metadata context, participants domain, methodological approach, metadata practices of participants, their main findings and recommendations. The publications with tha labels LabTrove, Archaeological_Digging and Publishing_Pushing were collected through the Perrier et al. scoping review dataset (https://doi.org/10.1371/journal.pone.0178261.s003).

Data e Risorse

Informazioni addizionali

Campo Valore
Origine Scopus database; Complementary publications retrieved from the Perrier et al., 2017 scoping review study (https://doi.org/10.1371/journal.pone.0178261.s003)
Autore João Aguiar Castro
Ultimo aggiornamento maggio 7, 2024, 12:56 (UTC)
Creato gennaio 9, 2020, 16:03 (UTC)
Citation CASTRO, J.A. Research Data Management metadata-driven studies survey corpus and coding [dataset]. 9 jan 2020 INESC TEC research data repository. DOI: https://doi.org/10.25747/rv0g-1n12
DOI https://doi.org/10.25747/rv0g-1n12
Date of Creation 2019
Formato *.xlsx; *.bib
Instrument Type Text Markup up and analysis
Linguaggio EN
Size 317 KB
Software CATMA 6.0
Temporal Coverage 2018-2019
Type text