Promoting Open Science Through Research Data Management
Authors
John A. Borghi Stanford University School of Medicine
Ana E. Van Gulick figshare
Source
arXiv
arXiv:2110.00888
Abstract
Data management, which encompasses activities and strategies related to the storage, organization, and description of data and other research materials, helps ensure the usability of datasets — both for the original research team and for others. When contextualized as part of a research workflow, data management practices can provide an avenue for promoting other practices, including those related to reproducibility and those that fall under the umbrella of open science. Not all research data needs to be shared, but all should be well managed to establish a record of the research process.
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area.
He earned his MLIS degree from Wayne State University in Detroit.
Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.
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