Phenotypic Data Standardization and Management

Working group description and goals: 

Accurate, well-annotated, and accessible phenotypic data are the keys to many genetic, genomic, and breeding applications. The broad diversity of data types (e.g., images, spreadsheets, etc.) and sources (e.g., literature vs. primary data generators) makes the standardization, sharing, and reuse of phenotypic data challenging.

This working group will

• address the need for standards, guidelines, and expertise for phenotypic data management that can be implemented by the consortium member databases (DBs) and the large community of data users and generators.
• identify and provide recommendations for two categories of phenotypic data usually curated by the member DB resources:
  • phenotypic data curated from the literature
  • phenotypes submitted directly by the data generators (e.g., experimental data from a breeding trial).

Champion: Jinha Jung, Jennifer Clarke

Members: 

• Peter Selby

• Julia Piaskowski

• Rahul Raman

• Daniel Robertson

• Ittai Herrmann

• Kantilata Thapa

• Lukas Mueller

• Trevor Rife

• Farah Saeed

• Damion Dooley

• Sandesh Neupane

• Jeff Volenec

• John P McNamara

• Nathan Grant

• Johnny Li

• Junxiao Zhang

• Irene Cobo Simón

• Paula Silva

• Kevin Wang

• Md Towfiqur Rahman

• Simon Lackey

• Izabelle Young

• Nathan Miller

• Ana Lucic

• Keshav Singh

• Nicholas Gladman

• Limeng Xie

• Fabian Keil

• Jing YU

• Amritpal Singh

• Hanna Ostrovski

• Abu Tolcha Gari

• Kaitlin Tabaracci

• Ce Yang

• Francisco Muñoz-Arriola

• Jodi Callwood

• Tadesse Anberbir

• Elena Gorokhova

• Alex Lipka

• Burcu Celebioglu

• Sindhuja Sankaran

• Elsa Herminia Quezada Rodríguez

• A.J. (Auke) Damstra

• Jennifer Lachowiec

​​​​​​​Meeting Schedule: more information soon!

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