Journal ArticleStat (Int Stat Inst) · 2024
Data science consulting and collaboration units (DSUs) are core infrastructure for research at universities. Activities span data management, study design, data analysis, data visualization, predictive modelling, preparing reports, manuscript writing and a ...
Full textLink to itemCite
Journal ArticlePloS one · January 2024
Research data sharing has become an expected component of scientific research and scholarly publishing practice over the last few decades, due in part to requirements for federally funded research. As part of a larger effort to better understand the workfl ...
Full textCite
Report · November 22, 2022
The Realities of Academic Data Sharing (RADS) Initiative’s public-access data management and sharing (DMS) activities are the result of categorizing services and support across the institution that are likely needed to make public access to researc ...
Full textCite
Book · December 20, 2021
In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries ...
Full textCite
Book · August 26, 2021
Featured Publication
This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and suggests strategies for engaging with the tools and methods of data driven research. ...
Cite
Journal ArticleInternational Journal of Digital Curation · August 19, 2020
Niche and proprietary data formats used in cutting-edge research and technology have specific curation considerations and challenges. The increased demand for subject liaisons, library archivists, and digital curators to curate this variety of data ...
Full textCite
Journal ArticleInternational Journal of Digital Curation · December 26, 2018
Featured Publication
Funders increasingly require that data sets arising from sponsored research must be preserved and shared, and many publishers either require or encourage that data sets accompanying articles are made available through a publicly accessible reposito ...
Full textCite
ConferenceSerials Review · January 1, 2015
The panel discussion at the 24th North Carolina Serials Conference, moderated by Beth Bernhardt, offered four different perspectives on text and data mining from Patrick Herron, a faculty member who employs text and data mining in his research; Kevin Smith ...
Full textCite
Report
Several recent studies have indicated that large numbers of researchers in many STEM fields now accept the value of openly sharing research data. Yet, the actual practice of sharing data—especially in forms that comply with FAIR principles—remains ...
Full textCite
Report
Academic institutions have made significant investments to support public access to research data requirements, yet little to no data about these services, infrastructure, and costs currently exist or are widely shared. For public access to researc ...
Full textCite
Report
This report describes the methodology of research conducted during the first stage of the Realities of Academic Data Sharing (RADS) Initiative, funded by the US National Science Foundation (NSF), from 2021 to 2023, and should be considered suppleme ...
Full textCite
Report
The Realities of Academic Data Sharing (RADS) Initiative public-access data management and sharing (DMS) activities describe what researchers and administrators at institutions that support research data sharing may need to consider when managing a ...
Full textCite