GO-FAIR Workshop - September 5th, 2024

My question to LIFES Core Scientific Members: How can FAIR become widespread? What kind of resources/help do you provide?

1. Data stewards are very important fort hat
2. Workflows/processes published on how to do it
3. Catalysts – collection of decisions that others made and that can be reused.

FAIR Data Trains need to cross boarders.
It is easy to make the trains interoperate without an ecosystem where people/institutions are taken the same choices of languages/frameworks to use. But we have to make the trians interoperable regardless of the ecosystem's technical choices.
Thus we need to have a Semantic FAIR library of instructions to connec all trains.

LIFES different types of partners

FAIR Capacity Building Program - Training developed by the GO FAIR Foundation

FAIR Data Engineering - Herman van Haagen
Hoogeschool Leiden
They developed a new course named FAIR Data Engineering to start this November.

Companies offerring tools/resources for FAIR:

1. 4medbox - infrastructure to control health personal data
2. FAIR Solutions< provides services/resources to facilitate FAIR adoption
3. WDS, focused on developing FAIR data repositories, offers serves for FAIR adoption, including AI readiness resources
4. Elsevier Research Collaborations - there is a branch that wants to 'sell' the data/knowledge associated to the papers. Joining LIFES makes sense for them because they want to be able to sell bits of data, instead of only selling the whole dataset.
5. Visma Connect (Dyone van der Leer-de Mari) - They want to share data following a federated data model. Currently only 10% of the data is accessible for use, according to her. They made a ecosystem of a data space. They also build taxonomies, including the taxonomy used by the Dutch government.
6. Roseman Labs - they are building encrypted data spaces to enable "one to create insignts from data that one doesn't have."
7. Euretos - help scientists to go FAIR.
8. dsm-firmenich - develops a food application focusing on nutricion and beauty in an innovative way. Involved in a project called ConnectedLabs that organize data in a consistent way. They are moving more and more to a data-centered company
9. Pistoia Alliance (Christian Baber/Giovanni Nisato) - this ONG has the mission to lower the barrer to innovation through pre competitive collaboration. They have top clients from the farmaceutical domain. GoFair is also a member.
10. CODATA - organization aiming at "promoting global collaboration to improve the availability and usability of data for all areas of research" (from the website)

Figure from Visa Connect (see list above)

Figures from Eureto

Figure from Pistoia Alliance:

There were interesting presentation of videos from GoFair-Brazil and Semantic Climate

and a brief talk from GOFair-USA.

There was a panel with partners from Africa:
- Easu Yazew (from VODAN)

- President of the African Academy of Sciences

- FoodSafety for Africa

They have an interesting focus on knowledge management. I talked to Peter Scelstraete (from Ubuntoo BV) and told him about my views on KM, i.e., it needs to please in the first place the knowldge holders; and exchanging tacit knowledge can only be based on social interaction.