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This paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS); it is a brokering infrastructure that presently brokers more than 190 autonomous data catalogs and information systems. The paper analyses the China Satellite datasets and describes the data publishing process from China GEOSS Data Provider to the GEOSS Platform considering both administrative registration as well as the technical registration. The China Satellite datasets are considered as one of the most important satellite data shared by the GEOSS Platform. The analysis provides some insights as well about GEOSS user searches for China Satellite datasets.

This report aims to support the work of the JRC.B6 (Digital Economy Unit), which provides scientific and technical services to the DG RTD for improving and evolving the GEOSS (Global Earth Observation System of Systems) Platform. In the framework of this Administrative Agreement (called EOVALUE), a specific task deals with the analysis of the GEOSS users and data content. The GEOSS platform is a global hub for Earth Observation (EO) data, representing an overarching infrastructure with the main task of easing discovery and access of data made available by different national and international organizations by means of heterogeneous publication systems. GEOSS is managed and realized under the coordination of the Group on Earth Observations (GEO), an intergovernmental initiative comprising more than 100 national governments and in excess of 100 Participating Organizations aiming to benefit different societal benefit areas by means of Earth Observations. In 2017, an analysis of GEOSS data content and its users was done by JRC.B6. The present work aims to update such an analysis, in a consistent way, and understand the main changes occurred in the last few years., This is the accepted version of EOValue Deliverable 1.1 version 2. The published version is available on the EOValue JRC Science Hub Community. EOValue is a three-year project (2018-20) funded by the H2020 research programme and implemented by the European Commission Joint Research Centre

This document presents the contributions discussed at the second institutional workshop on Artificial Intelligence (AI), organized by the Joint Research Centre (JRC) of the European Commission. This workshop was held on 05th July 2019 at the premises of the JRC in Ispra (Italy), with video-conference to all JRC's sites. The workshop aimed to gather JRC specialists on AI and Big Data and share their experience, identify opportunities for meeting EC demands on AI, and explore synergies among the different JRC's working groups on AI. In comparison with the first event, according to the JRC Director General Vladimír Šuchav, the activities and results presented in this second workshop demonstrated a significant development of AI research and applications by JRC in different policy areas. He suggested to think about replicating the event at the premises of diverse policy DGs in order to present and discuss the clear opportunities created by JRC activities. After the opening speech by the JRC Director General Vladimír Šuchav, the research and innovation presentation were anticipated by two presentations by Alessandro Annoni and Stefano Nativi. The first presentation dealt with the results of one year of AI@JRC and six months of fully operational AI&BD community of practice1. The second presentation reported the results of the AI competences survey at JRC. The research and innovation contributions consisted in flash presentations (5 minutes) covering a wide range of areas. This report is structured according to the diverse domain areas addressed by the presenters. While the first part of the workshop was mainly informative, in the second part we collectively discussed about how to move on and evolve the AI&BD community of practice., JRC.B.6-Digital Economy

Proposal to adopt SeaDataNet CSR XML encoding as the reference XML implementation of SeaDataNet CSR metadata model. The SeaDataNet infrastructure, its standards, services and products started to build since the mid-1990s under the EU MAST Programmes with the precursor EDMED, EURONODIM, MEDATLAS projects and continued with the EU-FP5 SeaSearch project (2002-2005). Under EU-FP6 Programme, the distributed SeaDataNet system was set up (2006-2011) and continued into its second phase under the EU-FP7 SeaDataNet II project (2011-2015). In the EU HORIZON 2020 SeaDataCloud project, the infrastructure is being upgraded and expanded making use of cloud services, High Performance Computing technology and taking into account the European Open Science Cloud (EOSC) challenge. SeaDataNet CSR XML encoding has been drafted, published and firstly implemented in the context of SeaDataNet, the leading infrastructure in Europe for marine & ocean data management. Its wide implementation, both by data centres within SeaDataNet and by external organizations makes it also a de-facto standard in the Europe region. The acknowledgement of SeaDataNet CSR XML encoding as a recommended standard by IODE/JCOMM will further favour interoperability between European data centres and outreach to the broader marine community. Published Refereed Current 14.a N/A Multi-organisational Method Specification of criteria Reports with methodological relevance

Report on the first proposal of EVs for selected themes. It will include description and justification of inclusion. It will collect drafts of SBA-specific EVs for Carbon (CMCC), Health and Pollution (CNR-IIA), Ecosystems (CNRISAC), Biodiversity (CNR- ISSIA), Energy (ARMINES), Disasters (TIWAH) and Oceans (CSIC). It will also include a report on the Co-located Essential Variables Workshop on M7.