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The Distributed System for Scientific Collections (DiSSCo) Research Infrastructure will operate a number of e-services, all of which will have policy requirements for participating institutions. These policies include those related to digital and physical access to specimens, digital image and specimen metadata, and FAIR / Open Data. Previous projects have shown that the policy landscape is complex, and Task 7.3 has developed a policy self-assessment tool that will allow DiSSCo to assess policy alignment across the consortium. This deliverable describes the development of the policy self-assessment tool and provides a walkthrough of the key features. The same technical framework was used to create a digital maturity tool, which was initially proposed by Task 3.1, and this is also described within this document. A set of recommendations are included that outline the future direction for the development of the policy tool. The Distributed System for Scientific Collections (DiSSCo) Research Infrastructure will operate a number´of e-services, all of which will have policy requirements for participating institutions. These policies include those related to digital and physical access to specimens, digital image and specimen metadata, and FAIR / Open Data. Previous projects have shown that the policy landscape is complex, and Task 7.3 has developed a policy self-assessment tool that will allow DiSSCo to assess policy alignment across the consortium. This deliverable describes the development of the policy self-assessment tool and provides a walkthrough of the key features. The same technical framework was used to create a digital maturity tool, which was initially proposed by Task 3.1, and this is also described within this document. A set of recommendations are included that outline the future direction for the development of the policy tool.

Regions of Restricted Exchange (RREs) are an important feature of the European coastline. They are historically preferred sites for human settlement and aquaculture and their ecosystems, and consequent human use, may be at risk from eutrophication. The OAERRE project (EVK3-CT1999-0002) concerns 'Oceanographic Applications to Eutrophication in Regions of Restricted Exchange'. It began in July 2000, and studies six sites. Four of these sites are fjords: Kongsfjorden (west coast of Spitzbergen); Gullmaren (Skagerrak coast of Sweden); Himmerfjarden (Baltic coast of Sweden); and the Firth of Clyde (west coast of Scotland). Two are bays sheltered by sand bars: Golfe de Fos (French Mediterranean); and Ria Formosa (Portuguese Algarve). Together they exemplify a range of hydrographic and enrichment conditions. The project aims to understand the physical, biogeochemical and biological processes, and their interactions, that determine the trophic status of these coastal marine RRE through the development of simple screening models to define, predict and assess eutrophication. This paper introduces the sites and describes the component parts of a basic screening model and its application to each site using historical data. The model forms the starting point for the OAERRE project and views an RRE as a well-mixed box, exchanging with the sea at a daily rate E determined by physical processes, and converting nutrient to phytoplankton chlorophyll at a fixed yield q. It thus uses nutrient levels to estimate maximum biomass; these preliminary results are discussed in relation to objective criteria used to assess trophic status. The influence of factors such as grazing and vertical mixing on key parameters in the screening model are further studied using simulations of a complex 'research' model for the Firth of Clyde. The future development of screening models in general and within OAERRE in particular is discussed. In addition, the paper looks ahead with a broad discussion of progress in the scientific understanding of eutrophication and the legal and socioeconomic issues that need to be taken into account in managing the trophic status of RREs.

Petroleum and its more or less refined derivative products are transported over all the seas of the world. Furthermore, fuel is the most widespread propulsion means and is therefore present onboard the vast majority of vessels. Although navigation, due to economic and regulatory constraints, globally evolves towards more safety, oil spills are likely to remain inevitable. Accidents will occur, due to extreme natural conditions, technical failures or human errors. No human system will ever be fully safe.

Regions of Restricted Exchange (RREs) are an important feature of the European coastline. They are historically preferred sites for human settlement and aquaculture and their ecosystems, and consequent human use, may be at risk from eutrophication. The OAERRE project (EVK3-CT1999-0002 concerns ‘Oceanographic Applications to Eutrophication in Regions of Restricted Exchange’. It began in July 2000, and studies six sites. Four of these sites are fjords: Kongsfjorden (west coast of Spitzbergen); Gullmaren (Skagerrak coast of Sweden); Himmerfj.arden (Baltic coast of Sweden); and the Firth of Clyde (west coast of Scotland). Two are bays sheltered by sand bars: Golfe de Fos (French Mediterranean); and Ria Formosa (Portuguese Algarve). Together they exemplify a range of hydrographic and enrichment conditions. The project aims to understand the physical, biogeochemical and biological processes, and their interactions, that determine the trophic status of these coastal marine RRE through the development of simple screening models to define, predict and assess eutrophication. This paper introduces the sites and describes the component parts of a basic screening model and its application to each site using historical data. The model forms the starting point for the OAERRE project and views an RRE as a well-mixed box, exchanging with the sea at a daily rate E determined by physical processes, and converting nutrient to phytoplankton chlorophyll at a fixed yield q: It thus uses nutrient levels to estimate maximum biomass; these preliminary results are discussed in relation to objective criteria used to assess trophic status. The influence of factors such as grazing and vertical mixing on key parameters in the screening model are further studied using simulations of a complex‘research’ model for the Firth of Clyde. The future development of screening models in general and within OAERRE in particular is discussed. In addition, the paper looks ahead with a broad discussion of progress in the scientific understanding of eutrophication and the legal and socioeconomic issues that need to be taken into account in managing the trophic status of RREs.

Temperature and Salinity (TS) historical data collections covering the time period 1900-2013 were created for each European marginal sea (Arctic Sea, Baltic Sea, Black Sea, North Sea, North Atlantic Ocean, Mediterranean Sea) within the framework of SeaDataNet2 (SDN) EU-Project and are available as ODV collections trough the SeaDataNet web catalog at http://sextant.ifremer.fr/en/web/seadatanet/. Two versions have been published and they represent a snapshot of the SDN database content at two different times: V1.1 (January 2014) and V2 (March 2015). A Quality Control Strategy (QCS) has been implemented and continuously refined in order to improve the quality of the SDN database content and to create the best product deriving from SDN data. The QCS was originally implemented in collaboration with MyOcean2 and MyOcean Follow On projects in order to develop a true synergy at regional level to serve operational oceanography and climate change communities. The QCS involved the Regional Coordinators, responsible of the scientific assessment, the National Oceanographic Data Centers (NODC) and the data providers that, on the base of the data quality assessment outcome, checked and eventually corrected anomalies in the original data. The QCS consists of four main phases: 1)data harvesting from the central CDI; 2) file and paramenter aggregation; 3) quality check analysis at regional level; 4) analysis and correction of data anomalies. The approach is iterative to facilitate the upgrade of SDN database content. SDN data collections and the QCS will be presented and the results summarized.

The Royal Belgian Institute of Natural Sciences (RBINS), the Royal Museum for Central Africa (RMCA) and Meise Botanic Garden house more than 50 million specimens covering all fields of natural history. While many different research topics have their own specificities, throughout the years it became apparent that with regards to collection data management, data publication and exchange via community standards, collection holding institutions face similar challenges (James et al. 2018, Rocha et al. 2014). In the past, these have been tackled in different ways by Belgian natural history institutions. In addition to local and national collaborations, there is a great need for a joint structure to share data between scientific institutions in Europe and beyond. It is the aim of large networks and infrastructures such as the Global Biodiversity Information Facility (GBIF), the Biodiversity Information Standards (TDWG), the Distributed System of Scientific collections (DiSSCo) and the Consortium of European Taxonomic Facilities (CETAF) to further implement and improve these efforts, thereby gaining ever increasing efficiencies. In this context, the three institutions mentioned above, submitted the NaturalHeritage project (http://www.belspo.be/belspo/brain-be/themes_3_HebrHistoScien_en.stm) granted in 2017 by the Belgian Science Policy Service, which runs from 2017 to 2020. The project provides links among databases and services. The unique qualities of each database are maintained, while the information can be concentrated and exposed in a structured way via one access point. This approach aims also to link data that are unconnected at present (e.g. relationship between soil/substrate, vegetation and associated fauna) and to improve the cross-validation of data. (1) The NaturalHeritage prototype (http://www.naturalheritage.be) is a shared research portal with an open access infrastructure, which is still in the development phase. Its backbone is an ElasticSearch catalogue, with Kibana, and a Python aggregator gathering several types of (re)sources: relational databases, REpresentational State Transfer (REST) services of objects databases and bibliographical data, collections metadata and the GBIF Internet Publishing Toolkit (IPT) for observational and taxonomical data. Semi-structured data in English are semantically analysed and linked to a rich autocomplete mechanism. Keywords and identifiers are indexed and grouped in four categories (“what”, “who”, “where”, “when”). The portal can act also as an Open Archives Initiatives Protocol for Metadata Harvesting (OAI-PMH) service and ease indexing of the original webpage on the internet with microdata enrichment. (2) The collection data management system of DaRWIN (Data Research Warehouse Information Network) of RBINS and RMCA has been improved as well. External (meta)data requirements, i.e. foremost publication into or according to the practices and standards of GBIF and OBIS (Ocean Biogeographic Information System: https://obis.org) for biodiversity data, and INSPIRE (https://inspire.ec.europa.eu) for geological data, have been identified and evaluated. New and extended data structures have been created to be compliant with these standards, as well as the necessary procedures developed to expose the data. Quality control tools for taxonomic and geographic names have been developed. Geographic names can be hard to confirm as their lack of context often requires human validation. To address this a similarity measure is used to help map the result. Species, locations, sampling devices and other properties have been mapped to the World Register of Marine Species and DarwinCore (http://www.marinespecies.org), Marine Regions and GeoNames, the AGRO Agronomy and Vertebrate trait ontologies and the British Oceanographic Data Centre (BODC) vocabularies (http://www.obofoundry.org/ontology/agro.html). Extensive mapping is necessary to make use of the ExtendedMeasurementOrFact Extension of DarwinCore (https://tools.gbif.org/dwca-validator/extensions.do). External (meta)data requirements, i.e. foremost publication into or according to the practices and standards of GBIF and OBIS (Ocean Biogeographic Information System: https://obis.org) for biodiversity data, and INSPIRE (https://inspire.ec.europa.eu) for geological data, have been identified and evaluated. New and extended data structures have been created to be compliant with these standards, as well as the necessary procedures developed to expose the data. Quality control tools for taxonomic and geographic names have been developed. Geographic names can be hard to confirm as their lack of context often requires human validation. To address this a similarity measure is used to help map the result. Species, locations, sampling devices and other properties have been mapped to the World Register of Marine Species and DarwinCore (http://www.marinespecies.org), Marine Regions and GeoNames, the AGRO Agronomy and Vertebrate trait ontologies and the British Oceanographic Data Centre (BODC) vocabularies (http://www.obofoundry.org/ontology/agro.html). Extensive mapping is necessary to make use of the ExtendedMeasurementOrFact Extension of DarwinCore (https://tools.gbif.org/dwca-validator/extensions.do).