The distributed character of the data infrastructures in use by members of the SSHOC community means that an approach to assessing their trustworthiness and the quality of their data repositories needs to be developed.
Research data should be managed, curated, stored and shared in a way that lives up to the expectations regarding trustworthiness and quality, provides sustainability and preserves the investments. The Trustworthy Digital Repository standards which have emerged from the Open Archival Information System (OAIS) reference model offer a certification solution for repositories. CoreTrustSeal (CTS) offers baseline certification and supports the concept of outsourcing.
Background: The main purpose of SSHOC is to create the social sciences and humanities area of the European Open Science Cloud (EOSC), thereby facilitating access to flexible, scalable research data and related services streamlined to the precise needs of the Social Science and Humanities (hereinafter SSH) community [1, 2]. The ambition of EOSC is to develop a ‘web of FAIR data and services’ for science in Europe, by building on existing research infrastructure and services supported by the EC, Member States and research communities.
Background: The General Data Protection Regulation (EU) 2016/679 (hereinafter GDPR) has given EU/EEA countries an opportunity to harmonise their legal framework for data protection, and to improve the conditions for processing personal data in research and data sharing. Although this was one of the rationales behind the GDPR, it has not necessarily been achieved [1-3].
SSHOC thematic cluster project (2019-2022) has built a strong and recognisable brand around a consortium of 5 ERICs and ESFRI Landmarks, 1 ESFRI project and onboarded Social Science and Humanities (SSH) data communities, 5 of them obtaining the status of ESFRI projects in the latest editions of ESFRI Roadmaps thus actively breaking down the silos through the sharing of knowledge, tools, and services with significant potential for further capacity-building as an important building block for EOSC.
This report constitutes SSHOC Deliverable 9.10, which describes the first stage of testing of the Knowledge Graph (KG) for Electoral Studies that constituted Deliverable D9.9 (‘Delivery of user-validated Knowledge Graph, and Election Studies Analytics dashboard’).
This report recapitulates the work done in SSHOC Task T9.3, the Data Community Project for Electoral Studies. Its purpose was to develop a pilot of a Knowledge Graph (KG) in the field of Electoral Studies. The first sections of the report recapitulate the background of and motivation for this purpose, and the manner in which the pilot-KG was developed. Section 4 discusses a number of overarching insights that derive from the work done and the experiences that were gained in the process.
Three of the Tasks in WP9 (Data Communities) are associated with particular user communities. These are Ethnic and Migration Studies (associated with T9.2), Electoral Studies (associated with T9.3), and Heritage Science (associated with T9.4). Each of these three tasks has as a major part of its remit the production of services, tools, procedures and data of direct relevance for their respective user communities.
This report presents information about how tools produced in the context of WP9 (Data Communities) have been received in their intended user communities. This emphasis on usability and usefulness is applied to, respectively to the following tools: