Hello,
I need to come up with a data policy system in my organization to handle the deluge of sequencing runs. I read about FAIR principles. I also read about semantic modeling and stuffs like that. Is there any course/certification/tutorials where they show how we can implement these principles ? Any other suggestion will also be very helpful. Thanks
If at all possible I would try to find, contact and then visit a sequencing facility or similar institution in your country/region and just learn from them. At best a place that handles a lot and critical (=clinical) data as this is what poses most requirements to long-term storage, warranty and legal parameters. This is nothing strangers on the internet can answer in a post. Be sure to consult legal department at your institution to be in line with data protection regulations, for example human data.
https://github.com/leipzig/awesome-reproducible-research#theory-papers anything labeled "best practices" may be of interest
This is not my area of expertise, but, I know that several European Bioinformatic Data Infrastructures are organized within the FAIRdom framework and coordinate their corresponding activities. So maybe you can find more guidance through this organization or some of the associated infrastructures?
Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
version 2.3.6
FAIR principals are a general set of recommendations for making data accessible/usable. They are not tied in any specific way to clinical data but can be applied in clinical settings (here is an example). They are applicable to any kind/type of data.
There is a cost associated with "FAIR"iying the data and at least in the US, funding agencies are starting to require a data management plan with grant submissions. So this is an important area that people need to be aware of. Looks like OP is starting to think about this aspect.