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Managing Research Data Tutorial
This tutorial covers the basics of data sharing, data management plans, and how to store and share your research data.
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Long-term preservation is the final stage in the data life cycle but requires some planning and maintenance from the project onset. Different from storage, preservation may require data to be migrated from format to format as newer storage models emerge while retaining its integrity. Some things to consider when developing a preservation plan include:
Image by Elco van Staveren, from Flickr
It is increasingly common for major funding agencies and many journals to stipulate Open Data/Data Sharing as part of their requirements for funding or publication.
In addition to meeting publisher and funder requirements, open data also:
Repositories exist to collect and preserve scholarly data. Data deposited in a repository helps facilitate not only preservation, but also discovery and citation. Just keep in mind that not every subject repository will accept all data nor are all repositories suited for long-term preservation.
Image by Ansonlobo, from Wikimedia Commons
Data repositories are great for storing and promoting data. There are hundreds of repositories with options available for all datasets.