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
  • 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.

Current: 
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