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Data Repositories

MIT
(Photo courtesy of MIT)

- Overview

A data repository is a centralized place to store, manage, and share data. It can also be called a data library or archive. Data repositories are commonly used in scientific research and business, and can be large database management systems or multiple databases.

Data repositories can have many benefits, including:

  • Data management: Data repositories can help you organize and deposit data, and make it easier to find and use.
  • Data preservation: Data repositories can help preserve data for long-term use.
  • Data discovery: Data repositories can make data more valuable for research by making it easier to discover.
  • Data citation: Data repositories can provide persistent identifiers, such as Digital Object Identifiers (DOIs), that allow you to cite your data.


When choosing a data repository, you can consider things like:

  • Preservation plan: Whether the repository has a plan to ensure the data is preserved
  • FAIR Data Principles: Whether the repository supports these principles.
  • Repository finder tools: Whether there are tools that can help you find repositories that meet your needs


Some examples of data repositories include:

  • Dryad: A general-purpose repository that makes scientific publication data discoverable, reusable, and citable.
  • Google Dataset Search: A search engine that allows you to search across thousands of online data repositories.

 

[More to come ...]



   

 
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