Data Federation Training

Working group description and goals: 

Data sharing and federation technologies are key for implementing programmatic data sharing among AgBioData databases. The recent AgBioData Data Federation WG survey exposed a need in the AgBioData community for training on several technologies related to data federation. Roughly one-third of data federation survey respondents indicated that they would benefit from learning more about Discoverable APIs; Linked-Data; Client-side integration of results from multiple data sources; Index-driven search technologies; Data Management Systems; and Data Sharing via services (e.g., Globus). Training on these topics will provide foundational knowledge within AgBioData databases to facilitate the FAIR data principles.  

Main goals:

• Provide training resources on data sharing technologies via a collection of existing, vetted training materials; generation of new, written training materials; and/or other materials.
• Conduct at least one training webinar for the AgBioData consortium. All generated materials will be made publicly available. The data-sharing technologies may include:
  • Discoverable APIs; Linked-Data;
  • Client-side integration of results from multiple data sources; Index-driven search technologies; 
  • Data Management Systems; 
  • Data Sharing via services (e.g., Globus)).

Deliverables
 

The Data Federation Training WG ended in June 2024 and developed training material for the AgBioData Community on different solutions for data sharing and data federation (https://github.com/AgBioData/DataFederation_WG/wiki). Here, you can find descriptions, video recordings, and slides about the following technologies:

• Fairdare
• iRODS
• RDF, YARRRML, & Shallot
• BrAPI
• GraphQL
• Globus
• SOLID

Champion: Peter Selby

Members:

• Abbas Saka
• Adediran Daniel Adewole
• Alberto Camara Adewole
• Bob Cottingham
• Can Vuran
• Ghulam Sarwar
• Jennifer Clarke
• Jinha Jung
• Mark Wilkinson
• Marcos Paulo da Silva
• Monica Poelchau
• Paola Pesantez
• Peter Selby

Meeting Schedule: more information soon!

For more information, please email agbiodata@gmail.com.