Data Science Journal

Autor: George C. Brooks, Carola A. Haas, Jonathan L. Petters, Jennifer A. Smith
Přispěvatelé: Research and Informatics Division, University Libraries, Fish and Wildlife Conservation, Virginia Tech. University Libraries
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Data Science Journal, Vol 18, Iss 1 (2019)
Data Science Journal; Vol 18 (2019); 43
ISSN: 1683-1470
Popis: We present a joint effort at Virginia Tech between a research group in the Department of Fish and Wildlife Conservation and Data Services in the University Libraries to improve data management for long-term ecological field research projects in the Florida Panhandle. Consultative research data management support from Data Services in the University Libraries played an integral role in development of the training curriculum. Emphasizing the importance of data quality to the field workers at the beginning of this training curriculum was a vital part of its success. Also critical for success was the research group’s investment of time and effort to work with field workers and improve data management systems. We compare this case study to three others in the literature to compare and contrast data management processes and procedures. This case study serves as one example of how targeted training and efforts in data and project management for a research project can lead to substantial improvements in research data quality. Preprint This article has been accepted for publication; this is the preprint (i.e. article prior to publication).
Databáze: OpenAIRE
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