2020 Metadata Africa

CONTENT

Metadata Introduction The importance of metadata is often underestimated. For data users are metadata commonly regarded as a necessary evil, and something mandatory to the data creating and dataset publishing process. This presentation offers a different point of view: metadata are a red line connecting the geographical tools and applications. No matter when searching for relevant data, Web services, explaining underlying models, displaying predicted situation in a map etc. This presentation will guide you a way to revoke an artificial border between data and metadata.

Predicting cloudness of satellite images through (meta)data Metadata does not have to be texts! Metadata in a textual way have in some cases a low information value for a user; e.g. a satellite image is covered from 60% by clouds. Will my farm be covered with clouds or not? This presentation will guide you through another (meta)data use case: metadata as geometry/graphics. Moreover, the presentation deals with cloudiness predictions as well as notification mechanisms through e-mail and SMS.

Micka MIcKa http://micka.bnhelp.cz/ is a complex solution for metadata management and for Spatial Data Infrastructure (SDI) and geoportal building. It contains tools for editing and management of metadata for spatial information, web services and other sources (documents, web sites, etc.). It includes their search on the Internet, portrayal in map or download to local computer. OpenMicka is freely available while Micka is a commercial tool. The designation (Open)Micka is used hereinafter for features similar to both licensing versions. Commercial version of Micka is also available free of charge for the duration of the SIEUSOIL project. The full documentation to both versions is stored at https://github.com/hsrs-cz/Micka . MicKa is now part of SmartAfriHub https://www.smartafrihub.com/cs/metadata

FAIR data principles for best practice in research data management The FAIR data principles identify four important characteristics of datasets (Findable, Accessible, Interoperable and Reusable) that will make them easier to use. These principles have been developed to help publishers assess whether individual datasets are published in a FAIR and open way. They have been adopted by the research community, where they capture a set of best practices that apply when publishing any type of dataset. FAIR data principles can be applied to data that exists at any point on the data spectrum. The principles emphasise clear licensing and recommend standard licences ‒ like those of creative commons ‒ but do not suggest data should be either closed, shared or open. For instance, sensitive personal data only available to researchers under limited data sharing agreements can still benefit from being FAIR to ensure researchers can easily find, access and reuse that data..

Who (is the webinar for): Students, researchers, data analytics, NGO, African and European projects, anybody in Africa and beyond, who is dealing with data management.

Tomas Reznik is an Associated Professor of Cartography, Geoinformatics and Remote Sensing at the Department of Geography and a postdoctoral researcher at the Laboratory on Geoinformatics and Cartography (LGC) at Masaryk University. He worked as a post-doctorate scientific/technical project officer at the Joint Research Centre (JRC) of the European Commission, within Digital Earth and Reference Data unit (currently Digital Economy unit). He has participated in several standardization and framework organizations, e.g. International Society for Digital Earth (ISDE), CEN/TC 287 Geographic information or as a metadata expert for the European Umbrella Organisation for Geographic Information (EUROGI). His project-based experience (gained from the EU Horizon 2020, FP6 as well as FP7, eContentplus and national projects) lies in the topics related to architecture definitions, data modelling, metadata, INSPIRE data specifications and geospatial Web services development. He is author of over 60 scientific publications in the field of SDI, geoinformatics and cartography, and the principal main author of Data models for FOODIE project including models for observation and machinery tracking.

Foteini Zampati is a legal professional with over 18 years of experience. Since joining KTBL she has been working as a data rights research specialist to support the Global Open Data for Agriculture and Nutrition (GODAN) initiative on Ethical and Legal aspects of Open data. She is responsible for the research and analysis of national and international legislation on Open Data and Intellectual Property, ownership issues and data rights, compliance and best practices across all aspects of national and European privacy and security, as also data protection law and regulation (GDPR) in the agricultural sector. Foteini holds an LLB in Law and a master in European Union and Business Law.

Štěpán Kafka is a metadata and semantic expert with degrees from Charles University Prague, faculty of Natural Sciences. He is currently working at VŠB – Technical University Ostrava, Faculty of Mining and Geology, Institute of Economics and Control Systems. Membership of Czech Association for Geoinformation (CAGI), expert drafting team for INSPIRE, Representative of company in OGC. Project participation Wirelessinfo, Premathmod, SpravaDat, Plan4all, Habitats, Plan4business, SmartOpenData.

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Metadata & Data Sharing and Management Principles

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