Dataset Information

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

ABSTRACT: The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated and shared, so that they can be easily utilized in future analyses. AgBioData (https://www.agbiodata.org) is a consortium of people working at agricultural biological databases, data archives and knowledgbases who strive to identify common issues in database development, curation and management, with the goal of creating database products that are more Findable, Accessible, Interoperable and Reusable. We strive to promote authentic, detailed, accurate and explicit communication between all parties involved in scientific data. As a step toward this goal, we present the current state of biocuration, ontologies, metadata and persistence, database platforms, programmatic (machine) access to data, communication and sustainability with regard to data curation. Each section describes challenges and opportunities for these topics, along with recommendations and best practices.

SUBMITTER: Harper L

PROVIDER: S-EPMC6146126 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

Harper Lisa L Campbell Jacqueline J Cannon Ethalinda K S EKS Jung Sook S Poelchau Monica M Walls Ramona R Andorf Carson C Arnaud Elizabeth E Berardini Tanya Z TZ Birkett Clayton C Cannon Steve S Carson James J Condon Bradford B Cooper Laurel L Dunn Nathan N Elsik Christine G CG Farmer Andrew A Ficklin Stephen P SP Grant David D Grau Emily E Herndon Nic N Hu Zhi-Liang ZL Humann Jodi J Jaiswal Pankaj P Jonquet Clement C Laporte Marie-Angélique MA Larmande Pierre P Lazo Gerard G McCarthy Fiona F Menda Naama N Mungall Christopher J CJ Munoz-Torres Monica C MC Naithani Sushma S Nelson Rex R Nesdill Daureen D Park Carissa C Reecy James J Reiser Leonore L Sanderson Lacey-Anne LA Sen Taner Z TZ Staton Margaret M Subramaniam Sabarinath S Tello-Ruiz Marcela Karey MK Unda Victor V Unni Deepak D Wang Liya L Ware Doreen D Wegrzyn Jill J Williams Jason J Woodhouse Margaret M Yu Jing J Main Doreen D

Database : the journal of biological databases and curation 20180101

The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated and shared, so that they can be easily utilized in future analyses. AgBioData (https://www.agbiodata.org) is a c ...[more]

PMID: 30239679

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Project description:As global health care demand continues to increase, medicinal plant productivity must progress without exhausting critical environmental resources. Hence, it is important to explore practices that can improve the quality, safety, and sustainability of medicinal plants, as well as ecological stability. Organic farming has recently gained significance as a sustainable cultivation alternative owing to increased awareness of the adverse effects of conventional cultivation method. Here, this study aimed to investigate the feasibility of organic farming as a solution for sustainable cultivation of medicinal plants from multiple perspectives and long-term benefits to the environment. Organic agricultural practices of medicinal plants were evaluated from a multi-dimensional perspective (environment, economy, and society) using extensive research data and literature and field surveys. Data from medicinal plant cultivation in Inner Mongolia were acquired for 76 sites from four data stations between 2014 and 2021. Data analysis revealed that organic medicinal plants can improve safety by reducing pesticide exposure risks. Simultaneously, organic agriculture of medicinal plants can improve biodiversity by effectively reducing pesticide and fertilizer use, which also provides natural safe products for health care. With the improvement of quality, the retail price will have a certain advantage, which will improve the income of farmers. Moreover, organic agriculture enhanced profitability because of the higher organic premium on medicinal plant products and improved ecosystem stability by increasing plant diversity. The findings of this study suggest that organic cultivation strategies can improve the quality and safety of medicinal plants and further provide a basis for promoting the sustainable development and ecological stability of medicinal plants. However, not all medicinal plant cultivators are guaranteed to adopt organic farming practices, but if all technological elements are correctly applied, the system can be maintained sustainably to expand the area of organically cultivated plants in the future.

Dataset Information

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

Publications

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

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