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.  

This working group will:

• 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)).

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.