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Author: Seonyoung Kim

ORCID iD 0000-0002-8854-287X

Contact me about:

  1. Data management planning and practice
  2. Data sharing
  3. DMPTool
  4. Data Interview
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Mastering Information, Science and Informatics

FAIR data principles: The keys to data sharing – part 4 of 4: Reusable

By Seonyoung Kim — November 15, 2022

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]

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Mastering Information, Science and Informatics

FAIR data principles: The keys to data sharing – part 3 of 4: Interoperable

By Seonyoung Kim — November 9, 2022

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]

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Mastering Information, Science and Informatics

FAIR data principles: The keys to data sharing – part 2 of 4: Accessible

By Seonyoung Kim — November 1, 2022

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: Data should be retrievable by their  [Read more]

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Mastering Information, Science and Informatics

FAIR data principles: The keys to data sharing — part 1 of 4: Findable

By Seonyoung Kim — October 26, 2022

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]

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