Recognised & Endorsed

WG

Capacity Development for Agriculture Data WG

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Lynn Yarmey

The aim of this Working Group (WG) is to develop synergies between existing education and training activities and agricultural science needs by performing a landscape assessment to identify existing gaps and training requirements within the Interest Group on Agricultural Data (IGAD) WGs related. A particular focus will be on sharing knowledge about training initiatives and technologies, reducing digital divides so that researchers and practitioners in developing countries can also benefit.

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IG

ESIP/RDA Earth, Space, and Environmental Sciences IG

Status: 
Recognised & Endorsed
TAB Liaison: 
Steve Diggs

The Earth, space, and environmental science communities are developing, through multiple international efforts, both general and domain-specific leading practices for data management, infrastructure development, vocabularies, and common data/digital services. This Interest Group will work towards coordinating and harmonizing these efforts to reduce possible duplication, increase efficiency, share use cases, and promote partnerships and adoption in the community.

 

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IG

Federated Identity Management

Status: 
Recognised & Endorsed
TAB Liaison: 
Andrew Treloar

A strategic element to maintaining a competitive advantage in research is by focussing energies in areas of innovation, which is facilitated by sharing of resources and support of inter-disciplinary collaborations at the national and international levels. The primary impediment to this resource sharing and collaboration is the lack of an effective FIM (Federated Identity Management) ecosystem.

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WG

Data Usage Metrics WG

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Sarah Ramdeen

Research data is increasingly recognized as an important output of scholarly research, however, there are not yet standardized or comprehensive research data metrics as there are with articles. While data citations standards are being constructed and gaining user adoption, there are not yet usage (views, downloads) metrics for data. In addition, data citations are currently not yet counted and aggregated into clear metrics, as it is done for articles.

 

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