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09
Feb
2016

Wheat Data Interoperability Recommendations

By Esther DZALE YEUMO

These recommendations have been prepared by members of the Wheat Data Interoperability Working Group (WG). The group is coordinated by members of the Wheat Initiative, a global initiative that aims to reinforce synergies between bread and durum wheat national and international research programmes to increase food security, nutritional value and safety while taking into account societal demands for sustainable and resilient agricultural production systems.

An earlier version of the endorsed guidelines is also available.

13 Apr 2015
WG

Metadata Standards Catalog WG

Status: 
Completed
Chair (s): 
Rebecca Koskela, Keith Jeffery, Alex Ball
Secretariat Liaison: 
enquiries@rd-alliance.org
TAB Liaison: 
Gretchen Greene

The Metadata Standards Catalog (MSC) Working Group will produce a machine-actionable catalog of metadata standards submitted by all RDA WGs. The catalog system will have an end-user input form and an API for submission from other software. Similarly it will have a user interface for query/reporting and an API for software to query and retrieve suitable standards information. The MSC is a fundamental tool in any autonomic e-research fabric. This work builds on the outputs of the Metadata Standards Directory Working Group: both the Metadata Standards Directory (MSD) itself and the set of attendant use cases.

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IG

Life Science Data Infrastructures IG

Status: 
Recognised & Endorsed
Chair (s): 
Jeff Christiansen, Nicola Mulder, Susan Gregurick, Wolmar Nyberg Åkerström, Elisha Wood-Charlson

The life sciences are becoming increasingly data intensive, owing much to the huge improvements seen in large-scale gene sequencing and other molecular “omics” techniques. There is a need for large-scale sustainable and interoperable data management and storage methods that allow secure and easy access to and reuse of these highly complex data. Simultaneously, as omics-focussed life science research projects increasingly depend on more than one type of measurement, there is a widely felt need for the ability to integrate different data types.

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