Results 71 to 80 of about 109 (85)

Using Python to mint DOIs on demand for a DSpace Repository

Minting DOIs using an online form can be a time-consuming task for repository librarians. DSpace can mint DOIs for all items in a repository but is not able to do so selectively, which is an issue in an institutional repository containing a mixture of ...
Grynoch, Tess, Palmer, Lisa
core  

Seek and you may (not) find: A multi-institutional analysis of where research data are shared.

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.
Jake R Carlson, Taylor, Shawna, Ge, Lizhao, Joel Herndon, Lizhao Ge, Moore, Jennifer, Jonathan Petters, Kozlowski, Wendy, Hudson Vitale, Cynthia, Alicia Hofelich Mohr, Petters, Jonathan, Hofelich Mohr, Alicia, Jennifer Moore, Lisa R Johnston, Johnston, Lisa R, Carlson, Jake R, Herndon, Joel, Wendy Kozlowski, Cynthia Hudson Vitale, Shawna Taylor   +19 more
core   +1 more source

Linking Data & Publications in Social Science and Humanities: the role of infrastructures in the French national context

International audienceIn SSH (Social Science and Humanities) the link between data and publication can be seen from different angles depending on its potential use.
Larrousse, Nicolas, Jouguet, Hélène, Roux, Dominique, Kuntziger-Planche, Bénédicte, Guigonis, Sandra, Bourdot, Charles, Verleyen, Julie, Barborini, Yannick   +7 more
core   +2 more sources

Research Data Discovery and the Scholarly Ecosystem in Canada : A White Paper

, 2016
Research data must be discoverable to be re-used. Data discovery represents the descriptive and technical processing of data and metadata, as well as the tools and infrastructure aimed at improving access and reuse of research data on the web. A Canadian
Brosz, John, Barsky, Eugene, Leahey, Amber   +2 more
core  

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Visualizing the Network of Scholarly Works on DataCite Commons

Collaborative research projects often involve teams of researchers from different institutes, and each research stage—from the planning, the piloting, the data collection, analysis, writing, and revision—produces outputs that embody rich details of the research work that are essential for reproducibility and reuse.
Chen, Xiaoli, Rhoads, Joseph
openaire   +1 more source

Affiliation Information in DataCite Dataset Metadata: a Flemish Case Study

Data Science Journal, 2021
Niek Van Wettere
exaly  

DataCite as a novel bibliometric source: Coverage, strengths and limitations

Journal of Informetrics, 2017
Nicolas Robinson-Garcia, Philippe Mongeon, Wei Jeng   +2 more
exaly  

Incorporating data sharing to the reward system of science

Aslib Journal of Information Management, 2017
Philippe Mongeon, Nicolas Robinson-Garcia, Wei Jeng   +2 more
exaly  

The BonaRes metadata schema for geospatial soil-agricultural research data – Merging INSPIRE and DataCite metadata schemes

Computers and Geosciences, 2019
Xenia Specka, Carsten Hoffmann, Nikolai Svoboda   +2 more
exaly