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粮农组织开放获取政策











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    Booklet
    Access to Global Online Research in Agriculture (AGORA)
    User guide
    2022
    Also available in:

    The Access to Global Online Research in Agriculture (AGORA) User guide provides in-depth information about the AGORA programme including its background, content, how to join, eligibility details, partners and impact. The user guide also includes step-by-step instructions on how to access and efficiently utilize the AGORA content portal for current users, along with answers to troubleshooting issues. This publication will help to increase AGORA’s target audience (interested and registered public institutions in low-income countries) ability to utilize the AGORA platform efficiently, providing them with free or low-cost access to thousands of major scientific journals, electronic books and other resources from the world’s leading academic publishers in the fields of agriculture, fisheries, food, nutrition, veterinary science and related biological, environmental and related social sciences. The goal of the guide, and how it contributes to FAO's Strategic Objectives and priorities is to improve the quality and effectiveness of access to agricultural research, education and training in low-income countries, and in turn, improve food security. Through the proper use of the AGORA programme and content platform, researchers, policy-makers, educators, students, technical workers, and extension specialists have digital access to high-quality, relevant and timely agricultural information.
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    Booklet
    AGROVOC 1: Data sharing, interoperability and knowledge organization systems 2023
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    In this publication the principles and benefits of data sharing and interoperability have been introduced. The FAIR principles have been highlighted, with their context in data sharing frameworks. Openness in the context of data has been explained. Different types of vocabularies have been noted, along with the role of Knowledge Organization Systems (KOS) in the data management and sharing framework. To be useful, data need to be open and interoperable. The Open Data Scheme and the FAIR principles describe the level of “openness” of vocabularies. Different types of vocabularies exist, which differ by their level of expressiveness. The Resource Description Framework (RDF) model uses triples of subject – predicate – object to build a vocabulary. AGROVOC is a KOS based on RDF.
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    Article
    FAO/WHO GIFT (Global Individual Food consumption data Tool): a global repository for harmonised individual quantitative food consumption studies 2019
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    Knowing who eats what, understanding the various eating habits of different population groups, according to the geographical area, is critical to develop evidence-based policies for nutrition and food safety. The FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT) is a novel open-access online platform, hosted by FAO and supported by WHO, providing access to harmonised individual quantitative food consumption (IQFC) data, especially in low- and middle-income countries (LMIC). FAO/WHO GIFT is a growing repository, which will serve as the global FAO/WHO hub to disseminate IQFC microdata. Currently five datasets from LMIC are available for dissemination, and an additional fifty datasets will be made available by 2022. To facilitate the use of these data by policy makers, ready-to-use food-based indicators are provided for an overview of key data according to population segments and food groups. FAO/WHO GIFT also provides an inventory of existing IQFC data worldwide, which currently contains detailed information on 188 surveys conducted in seventy-two countries. In order for end-users to be able to aggregate the available data, all datasets are harmonised with the European Food Safety Authority's food classification and description system FoodEx2 (modified for global use). This harmonisation is aimed at enhancing the consistency and reliability of nutrient intake and dietary exposure assessments. FAO/WHO GIFT is developed in synergy with other global initiatives aimed at increasing the quality, availability and use of IQFC data in LMIC to enable evidence-based decision-making and policy development for better nutrition and food safety

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