The Pharmaceutical industry is currently producing significant amounts of electronic data through manufacturing lines increasingly automated via pervasive sensors and devices. Manufacturing line data sources are heterogeneous with various embedded systems controlling the different processes involved in the production of medicines. Data Integrity and end-to-end traceability have become a key point to be compliant with the different international regulations and guidelines. As an example, in order to release a medicine batch number, it is necessary to ensure that all the data produced is ALCOA (Attributable, Legible, Contemporaneous, Original and Accurate) compliant. Auditable computerised systems are therefore key on pharma production lines, since the industry is becoming increasingly regulated for product quality and patient health purposes. As systems are continuously generating data in various formats, data must be dynamically analysed to ensure the quality and compliance of the overall process. The main idea of this project is to systematically assess all data produced by computerised production systems in representative pharma environments: (i) design data quality assessment models based on the Data Quality dimensions agreed by the European Institute for Innovation Through Health Data, including rules derived from regulatory documents; and, (ii) identify behaviour patterns of data probability distributions over time and among the manufacturing sources to identify outliers, i.e. data behavioural patterns which can violate ALCOA premises. To this end, there will be a semi-autonomous data quality control decision support system aiding pharma manufacturing companies to reduce the effort of analysing compliance data. Finally, a system prototype demonstration in an operational environment (Technology Readiness Level 7) will be evaluated using industry-grade real pharmaceutical manufacturing data sets and streams coupled with best pharma industry practices.

NEWTON is a large scale initiative to develop, integrate and disseminate innovative technology-enhanced learning (TEL) methods and tools, to create new or inter-connect existing state-of-the art teaching labs and to build a pan-European learning network platform that supports fast dissemination of learning content to a wide audience in a ubiquitous manner. NEWTON focuses on employing novel technologies in order to increase learner quality of experience, improve learning process and increase learning outcome. The NEWTON project goals are to: 1) develop and deploy a set of new TEL mechanisms involving multi-modal and multi-sensorial media distribution. 2) develop, integrate, deploy and disseminate state of the art technology-enhanced teaching methodologies including augmented reality, gamification and self-directed learning addressed to users from secondary and vocational schools, third level and further education, including students with physical disabilities, 3) build a large platform that links all stakeholders in education, enables content reuse, supports generation of new content, increases content exchange in diverse forms, develops and disseminates new teaching scenarios, and encourages new innovative businesses. 4) perform personalisation and adaptation for content, delivery and presentation in order to increase learner quality of experience and to improve learning process, and 5) validate the platform impact and the effectiveness of the teaching scenarios in terms of user satisfaction, improvement of the learning and teaching experience, etc. and the underlying technology through an European-wide real-life pilot with 4 different scenarios. The real-life validation will involve all major stakeholders in TEL area, from content providers, innovative idea creators, technology developers, regulators, associations, schools and teachers in a large-scale pilot covering 26 institutions (14 funded from the NEWTON project + 12 a partners) in 7 European countries.

Environmental degradation and pollution, climate change, and the destabilization of the ecosystem biodiversity, damage health and quality of life, and affect socially disadvantaged and vulnerable populations. Negative outcomes can be balanced by positive effects that healthy environments, such as green and blue spaces, can have on human and ecosystem health. Socio-economic costs are significant and public policies could develop preventive actions. HERA will set the priorities for an environment and health research agenda in the EU by adopting a holistic and systemic approach in the face of global environmental changes. Research will support decision-making and help attain the ultimate goal of protecting and improving ecosystem quality and human health. HERA will identify both the environmental opportunities for health improvements and the major environmental problems and challenges. This ambitious objective will only be possible through a close and continuous interaction with numerous and diverse stakeholders in the wider environment and health area. HERA specifically aims: 1) to proactively identify key sectors and policy areas in the field of environment and health that will benefit from additional scientific evidence in the next decade; 2) to develop a European medium-term research and innovation agenda covering key strategic research and policy aspects; 3) to propose strategies and tools to respond to the new and continuing challenges in environment and health nexus, by ensuring the engagement of stakeholders, increasing coordination and cross-fertilisation of ideas, and contributing to the European environment and health process and policy activities. HERA is structured in workpackages addressing policy needs, knowledge gaps, establishment of new guidelines, stakeholder community consultation and establishment of the research agenda. A specific activity focuses on knowledge transfer towards countries with less active research in environment and health.

Open Science (OS) opens up new ways in which research/ education/innovation are undertaken, archived and curated, and disseminated across the globe. Open Science is not about dogma per se: it is about greater efficiency and productivity, more transparency, and a better response to interdisciplinary research needs. But OS requires a cultural change in academic institutions, including the acquisition of new knowledge and skills in fields like open access publishing and research data sharing. Master's and PhD students, and Early Career Researchers in general, can be arguably harbingers of change within the traditional system of academic science and publishing, and OS is key factor driving this change. Yet, this change may take more time than expected unless fostered especially regarding practices in OS. It is therefore required a favorable, rewarding environment, where there are opportunities to acquire awareness and knowledge and develop OS relevant skills.In their advice paper on OS and the role of universities, the League of European Research Universities (LERU) highlights the education and skills training of all people in the universities as one of the eight OS pillars. Many universities develop and deliver their own training, while others work with external providers. LERU states that Open Science skills training should be firmly embedded (in online progress tools or similar study management and supervisory systems) and should be acknowledged in professional development and career progression. Universities should integrate OS concepts and their practical applications in educational and skills development programmes, analysing and mapping their needs for skills training and taking into account the different OS dimensions and the varying needs of different audiences, different disciplines, etc.TrainRDM aims to empower the Education and Skills dimension of OS through exploring innovative mechanisms and tools to provide the skills training in particular for and Research Data Management (RDM) good practices.The project’s objectives are:- To analyze and map the skills training needs for OS and RDM in existing curricula in partner HEIs taking into account the different OS dimensions, target groups and level of existing knowledge;- To review existing good practice in OS and RDM skills training;- To develop a OS and RDM Training Methodological Toolkit; - To develop, validate and diffuse a quality pilot training programme for OS and RDM;- To develop a training network around OS and RDM concepts;- To encourage, motivate, support and recognise staff and students skills development in OS and RDM.The specific aims are divided on project target groups, centered around MSc & PhD Students, Early Stage Researchers (ESR), Trainers, and Research Community Stakeholders in general.The following intellectual outputs, learning/teaching/training activities and multiplier events are to be developed/organized during the project lifetime:INTELLECTUAL OUTPUTS:IO1: OS & RDM Training Methodological ToolkitIO2: Joint Design of Training Programme on OS and RDMIO3: Distributed eLearning Training Platform for OS and RDM.LEARNING/TEACHING/TRAINING ACTIVITIESLTTA C1: Train the Trainers Winter Week LTTA C2: Students Summer SchoolLTTA C3: Early Stage Researchers Training WeekMULTIPLIER EVENTE1: Final conferenceThe Consortium is built on a solid partnership, with all participants having already participated in common projects and initiatives, and therefore having strong institutional and personal links that will allow a quick start of the project activities without any time lost for debating on different management and implementation matters. Between UPB and ICI there is a long-lasting relationship of joint participation in research projects and activities. UPB and NCI previously participated together in the cHiPSet COST Action or the vINCI AAL project. NCI and DTSL are longtime partners in Ireland. UPB and TUWien are members of the Task Force for Research Data Management established at the CESAER association (Association of Technical Universities of Europe), where the institutions jointly participate in the elaboration of CAESAR documents and positions on Open Data, Open Access, RDM. Finally, UPB and Sapienza have collaborated previously in many joint actions on research as well as in education and training, including in Erasmus+. Thus, there is no risk that the institutions participating here will not find grounds for collaborations, they have a strong relationship and will quickly setup the collaboration needed to advance this project. In particular, one of the first things is the setup of a harmonization between the local curricula and finding grounds for ESR exchanges between the partners. This is quite easy, because the institutions already collaborate, and researchers already participated in the past in joint short-term scientific missions between the consortium partners.