Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Data Scientists, Data Management and Data Policy
verfasst von : Sylvia Spengler
Erschienen in: Scientific and Statistical Database Management
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
US science agencies have or will soon have a requirement that externally funded projects have “data management plans.” Projects with a large budget or a tradition of data access and repositories do not see the impact as significant. However, the impact of the requirement can be particularly challenging for single investigators and small collaborations, especially in multidisciplinary research. These data represent what is known as Dark Data (Heidorn, 2008) in the long tail of science, where the data sets may be relatively small and the funding and expertise for handling also small. But just developing tools or putting computer scientists with the investigators is not sufficient.