This article caused me to think significantly about the way I present data in my projects and also what data is accessible to me. It also made me think about the way that data has historically been inaccessible to some groups. In my Environmental Science class we recently watched a movie about the Love Canal, an environmental disaster that was wrought by the lack of information about a certain community’s exposure to chemicals. Not only were the residents unaware of the fact that they were exposed to a significant amount of chemicals, but when they sought out information on their exposure, the data was very difficult to read because of the density and use of scientific language. The data in this situation clearly went against the FAIR guidelines because it was not accessible. As Michael commented, the FAIR guidelines help ensure “effective research and future studies.” In the case of the Love Canal, the data was unable to be effective or influence future studies until it was made more accessible by a scientist who translated it into something more understandable by members outside of the scientific community. This article made me think immediately of the Love Canal situation and made me realize the importance of making all data FAIR.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"

This article caused me to think significantly about the way I present data in my projects and also what data is accessible to me. It also made me think about the way that data has historically been inaccessible to some groups. In my Environmental Science class we recently watched a movie about the Love Canal, … <\/p>\n

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