This article about the guiding principles for findable, accessible, interoperable and re-usable data was very interesting and I enjoyed it quite a lot. Towards the beginning of the article I really like the idea that was presented and upheld. This idea was that this document is a \u201cguide to FAIRness of data, not a specification\u201d. I think it is very important to specify these as guidelines as all sets of data are different and some might not be able to meet the criteria. Again they say later \u201cthe purpose of this document is not to define nor suggest and technological implementation for any of these facets, but rather to define the characteristics, norms, and practices that data resources, tools, and infrastructures should exhibit in order to be considered \u2018Fair\u2019, and FAIR-ness can be achieved with a wide range of technologies and implementations.\u201d This document also does a good job defining concepts, data object, and meta data to make this information really accessible to everyone. Also, the figures make kind of explain the overall idea of what\u2019s going on with FAIR within each aspect of data. This was an interesting article that presented information in fair way haha.<\/p>\n","protected":false},"excerpt":{"rendered":"

This article about the guiding principles for findable, accessible, interoperable and re-usable data was very interesting and I enjoyed it quite a lot. Towards the beginning of the article I really like the idea that was presented and upheld. This idea was that this document is a “guide to FAIRness of data, not a specification”. … <\/p>\n

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