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Dryad - An International Repository of Data Underlying Peer-Reviewed Articles in the Basic and Applied Biosciences
Entry ID: Dryad
Abstract: The Dryad Repository is a NSF funded project and a collaboration between the Metadata Research Center (MRC) and the National Evolutionary Synthesis Center (NESCent). The goal of the project is to establish a repository for heterogeneous digital datasets in the field of evolutionary biology in order to ensure long-term preservation and promote resource discovery and reuse. The focus will be on ... published datasets, with tight linkages to major evolutionary biology journals and domain-specific community databases.
Dryad will allow future investigators to validate published findings, explore new analysis methodologies, repurpose the data for research questions unanticipated by the original authors, and perform synthetic studies such as formal meta-analyses.
Dryad aims to provide one-stop data deposition upon publication by interfacing with specialized repositories which are already required for publication such as Genbank and Treebase. However, for many publications, these repositories do not capture the whole data package. As a result, many important datasets are not being preserved and are no longer available, or usable, at the time that they are sought by later investigators.
To staunch this loss, Dryad is being designed as a “catch-all” repository for numerical tables and all other kinds of published data that do not currently have a home. A major design consideration with these data is to avoid placing an undue burden of metadata generation on individual researchers while at the same time capturing sufficient metadata to enable data discovery and reuse.
We are working with stakeholders from a consortium of journals and scientific societies to develop data sharing policies and ensure the long-term sustainability of the repository.
A special section of the repository named DryEd will package datasets of particular educational value for use in undergraduate and graduate classes.
[Summary provided by the University of North Carolina at Chapel Hill Metadata Research Center.]
Access Constraints Users must register and login before submitting data to Dryad.
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