This is part 4 of a four-part blog series on FAIR data principles (Part 1: Findable, part2: Accessible, part3: Interoperable, part4: Reusable). We reviewed making data findable in the part 1 blog, accessible in the part 2 blog, and interoperable in the part 3 blog. In this blog, we will discuss how to make data [Read more]
This is part 3 of a four-part blog series on FAIR data principles (Part 1: Findable, part2: Accessible, part3: Interoperable, part4: Reusable). We reviewed making data findable using metadata in the part 1 blog and making data accessible in the part 2 blog. In this blog, we will discuss how to make data interoperable. Part [Read more]
This is part 2 of a four-part blog series on FAIR data principles (part 1: Findable, part2: Accessible, part3: Interoperable, part4: Reusable). We reviewed making data findable using metadata in part 1, so now we will discuss how to make data accessible. Part 2: Accessible There are three principles: Selecting a suitable data repository with [Read more]
Here, we will break down the details of the FAIR data principles in a four-part blog series: Part 1: Findable, Part 2: Accessible, Part 3: Interoperable, Part 4: Reusable. So what are the FAIR data principles, and why are they important? The FAIR data principles emphasize machine-actionability to ensure that computational systems can find, access, [Read more]
There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a day-long workshop, led by the Center for Open Science, to learn easy, practical steps to increase the reproducibility of your work. This workshop is offered twice—at the School of Medicine on Jan. 16, and [Read more]