Context: Data users (i.e., researchers, innovators, regulation agencies and policy-makers) need high-quality data. In HealthData@EU, data holders are expected to make their datasets available for secondary use, providing a notion of their quality and utility and the maturity of their data quality procedures. In article 56 in the HealthData@EU proposed regulation, this notion would take the form of a label. Goal: Overall, QUANTUM aims at developing and implementing a label mechanism that could be ideally adopted in the future HealthData@EU. Methods: QUANTUM builds on 5 technical work packages (WP). WP1 conceptualises and provides technical specifications for a data quality, utility, and maturity label. WP2 designs and tests, at small-scale, the label. WP3 implements the labelling mechanism in a number of data holders. WP4 engages the data quality users’ community; and, WP5 outreaches other interested parties, including other initiatives building HealthData@EU. Expected results: a) A common concept of datasets Quality and Utility and Data holders’ Maturity; b) Technical specifications for the label (Deliverable D1.1. and D1.2); c) A conformance checking tool that yields the label (D2.1); d) An implementation report of the label mechanism (D3.1); e) Recommendations for a large-scale implementation of the QUANTUM label mechanism (D3.2); and, f) The QUANTUM Exchange Platform and Academy (D4.2 and D4.3) as instruments for capacity building. Consortium: For this purpose, 27 beneficiaries, 5 affiliated entities and 3 associated partners. The composition of the Consortium seeks to reflect the different roles and institutions in the governance of the HealthData@EU; virtually consider all types of data and science of interest; and gather the expertise of previous outstanding projects in the domain

OSTrails aims to advance processes and instruments for Planning, Tracking, and Assessing scientific knowledge production beyond state-of-the art, working with various national and thematic contexts, improving existing infrastructure, and connecting key components. For the Plan stage, OSTrails aims to increase the efficacy of Data Management Plans, turning them from static narratives to living, interconnected “machine actionable” resources, making them the instrument of choice for improving quality of RDM. For the Track stage, OSTrails is set to establish an open, interoperable and high-quality ecosystem of Scientific Knowledge Graphs, enriching them to become evidence of communities’ FAIR implementations. For the Assess stage, OSTrails aims to deliver modular and extendable FAIR tests, towards “machine actionable” metrics, complemented by user guidance embedded in tools assisting any stage of research life cycle. Presented as the OSTrails Commons, the resulting methods, tools, services, guidance & training form the necessary building blocks to provide end-to-end solutions that serve: (i) researchers and research support personnel realise FAIR at any stage of the research life cycle, for any digital object; and (ii) research funding organisations, research performing organisations, publishers to drive the improvement of the quality of RDM for any shared, funded and published research product. OSTrails will lower the barriers to plan and practice FAIR research, moving the dial from FAIR assessment to FAIR assisting practice; also, to enhance traceability and improve evidence-based evaluation of research via a more networked scholarship. OSTrails is deeply rooted in the work of 38 partners, 22 research performing organisations, 5 ESFRI Clusters, and 24 pilots, acknowledging that there is no one-size-fits-all solution and that different national and thematic infrastructures have varying goals and priorities, as well as approaches to streamlining FAIR.

EXPRESS2 is a project that addresses from a multidisciplinary, interdisciplinary and cross-sectional perspective, the growing demand for a new, more democratic, inclusive, and sustainable social contract in the EU. To achieve this, the project will work to create a more appealing and legitimate EU social contract draft that will be submitted to inhabitants, Member States and EU institutions that will have the possibility to participate and decide upon the conditions, rights, and obligations to be binding. The goal is to strengthen the EU agreement of association by promoting social dialogue, civic engagement, and integration. An express draft shall be achieved by means of policy dialogue, campaign implementation, collaborative workshops, advocacy planning, and innovative offline and online formats and tools to create spaces for dialogue. To this end, EXPRESS2 will involve EU policymakers and institutions throughout the project to obtain a more appealing and legitimate EU social contract draft. The project will also focus on identifying and analyzing disruptive elements of the social contract,such asinsecurity, populism, climate change, mistrust in institutions, gender discrimination, digitalisation and pandemics. The analysis of these stressors includes both individualised and cross-sectional approaches to cover the plausible relation of multiple disruptors, their concatenation or the “trigger” effect of a disruptive phenomenon to another. By understanding these disruptive elements and their effects on the social contract, the project will propose concrete measuresto ironclad the social contract and it will provide relevant information to protect it from actual and potential disruptions thus we conceive social contracts as incomplete theorised agreements and living documents. In addition to academic, policy, and socio-economic outcomes, EXPRESS2 will propose recommendations to strengthen the social contract's resilience and capacity for further development.

no public description

To embed an Artificial Intelligence tooling product development and launch capability, which democratises the use of AI for marketers and other decision makers and adding valuable insight.