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This post by The Future of Research Communications and e-Scholarship gives an outline for creating data and research that is readily accessible. They outline the four “FAIR” facets, which state that data should be Findable, Accessible, Interoperable and Re-usable. Anyone who has worked with data recognizes the usefullness and practicality of these guidlines as the process of finding data and performing analysis can be quite difficult. If all data work/collection follows universal standards it would greatly increase ease of use for every part involved.

RF made some great points when talking about data equity. By creating guidelines for data accessibility, it may help open up the flow of information. Historically, data is often tightly held and those who create data can be biased in their creation and analysis so opening up data flows will create more equitable data.