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How to Create and Publish Geospatial Metadata

Best practices for metadata management









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    Document
    Hand-in-Hand Geospatial Platform Quick-Start Guide
    Transforming data into impact
    2022
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    The Hand-in-Hand Geospatial Platform is a supporting tool for the Hand-in-Hand (HiH) Initiative, an evidence-based, country-led and country-owned initiative to accelerate SDG1 and SDG 2, using the most sophisticated tools available, including advanced geo-spatial modeling and analytics to identify the biggest opportunities to raise the incomes and reduce the inequities and vulnerabilities of rural populations, who constitute the vast majority of the world's poor.
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    Brochure, flyer, fact-sheet
    Africa Open D.E.A.L: Open Data for Environment, Agriculture and Land & Africa's Great Green Wall
    Towards a continental leadership on environmental data (July 2021)
    2021
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    The Food and Agriculture Organization of the United Nations (FAO) and the African Union Commission (AUC) led a land-use data collection and analysis between 2018 and 2020. With the support of the Panafrican Agency of the Great Green Wall (GGW), the Southern African Development Community (SADC), and 30 African countries, FAO and the AUC coordinated the data collection operation on a scale unseen before in agriculture, environment, and land use. The Africa Open D.E.A.L (Data for Environment, Agriculture and Land) initiative has made Africa the first continent to complete the collection of accurate, comprehensive, and harmonized digital land use and land-use change data. It provides a detailed snapshot of the continent, captured through more than 300 000 sampling points collected by 350 operators in two years. Analysts were trained to use Collect Earth, an open-source tool developed by FAO with the support of Google. Over 100 parameters were collected on each sampling point of about 0.5 hectares, including tree counts, farmlands, wildfires, and existing infrastructure. Data were analyzed to highlight land-use change over the past 20 years and the potential for restoration at the national level for every country. The very high-resolution imagery allowed analysts to assess places with difficult field accessibility. The data survey has revealed 7 billion previously unrecorded trees outside forests for the first time, among other findings of the first consistent land use representation of the continent, and discloses more forests and more arable lands than were previously detected. This fact-based information finds that the area of the continental Great Green Wall initiative has 393 million hectares of land with restoration potential and opportunities and that 350 million hectares of cropland are cultivated in Africa, more than double that of the European Union. The survey exposes huge opportunities for the management of the environment, agriculture, and land use in Africa, and increases countries’ ability to track changes and conduct analyses for informed sustainable production, restoration interventions, and climate action. Africa Open DEAL data and information are embedded within FAO’s Hand-in-Hand Initiative geospatial platform and are accessible to anyone through EarthMap.org.
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    Book (stand-alone)
    Integration of language attributes in Metadata and Customization for Domain Specific Repositories 2010
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    The paper presents a system for customized metadata facility adapted to expose domain specific metadata along with language attributes. Quality metadata is crucial for efficient information retrieval. Use of standard and common vocabulary leads to normalization of differences that arise due geographic, cultural, domain specific environments even amongst digital libraries with same or similar collection scopes. The present work demonstrates implementation of language attributes (which is missing in the official version of DSpace) for metadata elements. As a case study we demonstrate the AGRIS (Agricultural Information System) application profile customized for metadata in DSpace repositories. It serves as a full text content management platform for the agricultural community and especially the languagewise disparate and geographically distributed AGRIS network through enriched domain metadata in standard format for the description, management and better metadat a sharing.

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