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#129881

Yvan Le Bras
Member

Hi everyone, following the RDA P15 virtual session, I was not able to participate, here are some notes from my side, notably linked to GO FAIR BiodiFAIRse IN and French Biodiversity e-infrastructure work on EML and EBVs.

Reading the notes I feel that there was really interesting exchanges, and if relevant, I propose here some tracks where maybe I can try to help and/or the IG can help our communities 😉

If GO FAIR / French PNDB Research e-infrastructure ongoing work can serve to this IG, notably linked to EBV, biodiversity indicator production and/or metadata structuration of biodiversity data, please don’t hesitate to come back to me to comment / ask more informations / share more details etc

 

“Biodiversity data in EBVs: Positioning of biodiversity data in “data cubes” is unclear, standards and pipelines need to be identified in collaboration with the monitoring and climate research domains”

  • Here our EBV operationalization pilot illustration considering EBV workflow, so more related to the analytical part than data cube one, on a public cloud-based HPC open-source web paltform (Galaxy-E) :

 

 

 

“make a list of initiatives we are involved or know of and categorize (semantics, collections, ecosystem services, etc) “

  • For data / metadata / analytical tools and related initiatives, maybe it can be of interest to look at BiodiFAIRse WIP work https://github.com/go-fair-ins/GO-FAIR-BiodiFAIRse around testing the access of available biodiversity data (notably for biodiversity indicator creation) and initiatives of interest. It will be a pleasure for me to help going forward on it, ameliorating both BiodiFAIRse IN / RDA IG resources.

 

“BHL metadata handling”

 

 

“the other issue is yes we have open data but it’s not format it to specific standards (e.g DwC or CF etc.)  Example Fisheries data.  there is no interest to make it standardized to standards. because it’s used for purpose like fisheries management stock assessment.”

  • Agree we don’t need data standards, but we need standards and here, I think notably using metadata standards like EML who can give so many details, for occurrence dataset as fisheries ones.

Whishing you a good week-end!