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Managing research data effectively and efficiently is crucial for the success of any research project. In the modern eScience ecosystem, enabling optimal (re)use of data is a major challenge. This slide deck shows that the best approach to managing data is to be as open and FAIR as possible. I present the FAIR principles in detail and highlight best practices, tools, and tips for implementing FAIR Data. I also talk about my personal FAIR story, in building community standards for cell migration research, and touch upon data citation, the why and how. We also look at how to set up and implement a Data Management Plan (DMP) according to the FAIR principles.
open science, standards, open data, fair data, data management plan
open science, standards, open data, fair data, data management plan
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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