WELCOME TO INTEREST GROUP ON AGRICULTURAL DATA (IGAD) MEETING: MONDAY 1 APRIL 2019, PHILADELPHIA, USA
For all interested in actively contributing with a short presentation (15 minutes), during the IGAD RDA pre-meeting (at the RDA's 13th Plenary Meeting; Philadelphia, USA)
please send an e-mail to AIMS@FAO.ORG (Subject: IGAD RDA pre-meeting 2019/1) with the TITLE and brief ABSTRACT of your contribution before 22 February 2019.
Agricultural Data Interoperability:
Opportunities and Lessons Learnt from Sharing and Re-Using Data
Formed in 2013, since its inception the Interest Group on Agricultural Data (IGAD) has grown in community strength to over 200 members.
IGAD is a domain-oriented group working on all issues related to global agriculture data. It represents stakeholders in managing data for agricultural research and innovation, including producing, aggregating and consuming data. IGAD is also a forum for sharing experience and providing visibility to research and work in agricultural data.
Following the successful IGAD pre-event to the RDA Plenary12th in Gaborone on Data Collection: State of the Art, Challenges and Solutions, the IGAD RDA P13th meeting will focus on the next related topic Agricultural Data Interoperability: Opportunities and Lessons Learnt from Sharing and Re-Using Data.
Contributions from agricultural open data projects and initiatives to support new analyses, modeling, or decision support tools are welcome!
Discussion can involve both policy and technical aspects of agricultural data interoperability.
The conclusions of these activities will be shared at the RDA's 13th Plenary Meeting at the Agricultural Data Interest Group Session.
>> View Landscaping the Use of Semantics to Enhance the Interoperability of Agricultural Data by the RDA IGAD AgriSemantics Working Group
RESEARCH DATA ALLIANCE 13th PLENARY
Details on the RDA 13th Plenary, RDA P13 (2-4 April 2019, in Philadelphia, Pennsylvania, USA)
With the theme, 'With Data Comes Responsibility', RDA P13 will explore how the international, inter- and trans-disciplinary nature of RDA has helped to lay a foundation for global partnerships and addressing responsibility throughout the data-lifecycle and across all domains.
>> Interested to know more about the latest results of RDA Working and Interest groups? Keep on following the the Special Collection of Data Science Journal