Enhancing Wheat Data Interoperability for Sustainable Production

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The wheat research community faces challenges in meeting the increasing demand for wheat production due to a lack of data harmonization and standards. The Wheat Data Interoperability Working Group aims to improve the interoperability of wheat-related data through shared guidelines, tools, and recommendations. Their goals include establishing common metadata standards, data formats, and vocabularies, as well as building on existing assets and real community needs. The group's efforts focus on analyzing existing data formats, conducting surveys, providing recommendations, and creating a repository of wheat-related linked vocabularies to enhance interoperability and support sustainable wheat production in the future.


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Enhancing Wheat Data Interoperability for Sustainable Production

PowerPoint presentation about 'Enhancing Wheat Data Interoperability for Sustainable Production'. This presentation describes the topic on The wheat research community faces challenges in meeting the increasing demand for wheat production due to a lack of data harmonization and standards. The Wheat Data Interoperability Working Group aims to improve the interoperability of wheat-related data through shared guidelines, tools, and recommendations. Their goals include establishing common metadata standards, data formats, and vocabularies, as well as building on existing assets and real community needs. The group's efforts focus on analyzing existing data formats, conducting surveys, providing recommendations, and creating a repository of wheat-related linked vocabularies to enhance interoperability and support sustainable wheat production in the future. Download this presentation absolutely free.

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  1. RDA Wheat Data Interoperability Working Group Outcomes RDA Outputs Plenary @ P5 9th March 2015, San Diego

  2. The context 2 The wheat research community is facing many societal challenges Wheat is the most widely grown crop in the world and provides 20% of the daily protein and food calories in the human diet. Wheat is the 2nd most important food crop in the developing world after rice. In recent years, wheat production levels have not satisfied demand With a predicted world population of 9 billion in 2050, the demand for wheat is expected to increase by 60% compared with 2010 To meet this demand, mean annual yield increases must rise from the current level of 1% (2001-2010) to 1.6% (2011-2050)

  3. The problem 3 How foster a best use of genetic, genomic and phenotypic data in fundamental and applied wheat science to increase the sustainable production of wheat in the future given that A variety of new technologies are producing an important quantity of heterogeneous data Wheat related information and data systems are diverse There is a lack of data harmonization and standards Interoperability of all wheat related data is a top priority

  4. Goals & Objectives of the WG 4 Interoperability of Wheat related data based on A common set of metadata standards, data formats and vocabularies Shared guidelines for describing, representing and linking data Tools that encourage the adoption of the recommendations and guidelines ! Build on existing and valuable assets Build on requirements derived from real needs identified by the Wheat research community

  5. Results 5 State of the art: metadata, data formats (target: Wheat research community) Study of the existing Wheat related Ontologies and Vocabularies (target: developers, curators and managers of ontologies and vocabularies) Surveys Analysis1of the existing metadata, data formats and vocabularies Recommendations Identifying actions to conduct in order to improve the current level of interoperability Collecting interoperability use cases Workshops Interactive cookbook: recommendations + guidelines A repository of Wheat related linked vocabularies (Bioportal) Prototype - Assess the gain of interoperability based on collected use cases Implementation

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  8. Expected Impact 8 Target users Wheat related data managers and database developers: guidance for determining formats for representing and storing wheat data Wheat related researchers: guidance for documenting Wheat data Software developers designing semantic-based search tools: guidance for choosing specific controlled vocabularies, ontologies to base on Impacts Improved data discovery, reusability and interoperability Standardization and harmonization of data will reduce variability and increase relevance of Wheat data related search tools.

  9. Adoption 9 The main strategy consist in reusing the outputs of the wg as a building block for the Wheat Initiative Wheat Information System (WheatIS) The WheatIS brings together the major wheat bioinformatics platforms and experts and aims to create a framework for the establishment of a global Wheat Information System Ongoing project: A virtual research environment (VRE) for data management and analysis which should contribute to addressing the challenge of food security and agriculture sustainability. The expected outcomes include Standards and guidelines for data sharing and data integration.

  10. Conclusions & Next Steps 10 Agenda for the next 6 months Finalize the guidelines Finalize the Bioportal dedicated to Wheat related ontologies Realize a prototype

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