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The majority of the listed research data repositories are described in detail by a comprehensive schema, namely the re3data.org Schema for the Description of Research Data Repositories. [6] Information icons support researchers to identify an adequate repository for the storage and reuse of their data. [3]
A large number of general and specialty (such as by research topic) data repositories exist. [6] For example, the UK Data Service enables users to deposit data collections and re-share these for research purposes. publishing a data paper about the dataset, which may be published as a preprint, in a regular journal, or in a data journal that is ...
Research data archiving is the long-term storage of scholarly research data, including the natural sciences, social sciences, and life sciences.The various academic journals have differing policies regarding how much of their data and methods researchers are required to store in a public archive, and what is actually archived varies widely between different disciplines.
RedHat Public GitHub repositories This data is not pre-processed Curated list of repositories from GitHub: StackExchange Public Archive.org files This data is not pre-processed Curated list of files from Archive.org: Gitlab Public repositories This data is not pre-processed Curated list of repositories from Gitlab: 1 2
Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method .
The prevalence of accessible and findable data is even lower: "Despite several decades of policy moves toward open access to data, the few statistics available reflect low rates of data release or deposit" [85] In a 2011 poll for Science, only 7.6% of researchers shared their data on community repositories with local websites hosted by ...
The Dataverse is an open source web application to share, preserve, cite, explore and analyze research data. [1] [2] Researchers, data authors, publishers, data distributors, and affiliated institutions all receive appropriate credit via a data citation with a persistent identifier (e.g., DOI, or handle). A Dataverse repository hosts multiple ...
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).