We live in the age of the ‘data deluge’, where digital technology enables us to store petabytes of data and to make that available for sharing as open data. Sharing data has the potential to revolutionise the way that researchers work. It avoids costly duplication in the collecting of data and enables research collaborations across the world which otherwise would not be possible. The purpose of this bid is to take the LERU Roadmap for Research Data produced by the League of European Research Universities (LERU) and to develop this in order to build a coordinated e-infrastructure across Europe and beyond. LEARN will deliver a model research Research Data Management (RDM) policy, a Toolkit to support implementation, and an Executive Briefing in five core languages so as to ensure wide outreach. LEARN will hold a series of Workshops within four European countries and one international country. The workshops will serve to advocate the Recommendations on RDM and open data made by the LERU Roadmap, and gain feedback from Workshop attendees for a new Toolkit of best practice. Furthermore, guidance to implement the Roadmap will be provided following identification of Best Practices supported by case studies identified through the workshops. By producing an exemplar RDM policy, which could then be tailored by any university or research institution to meet their needs, LEARN aims to address the challenges of the Work Programme concerning the fragmentation of e-infrastructures and the need to maximize on global research data. Specifically, LEARN will address Stakeholder initiatives; Policy coordination; Take-up of digital infrastructures; and Support cooperation with developing countries. LEARN thus delivers support actions to quicken the take-up of RDM and the move to open data in the emerging world of Science 2.0.
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Context/backgroundOpen Science (OS) and one of its components, Citizen Science (CS) are not new in the European Union (EU) although their growth is exponential: over the last decade, OS has rapidly become a catalyst in shaping research and society in the EU and an increasing number of CS initiatives engage citizens in digitized projects for a social purpose in an open framework of collaboration. The INOS project (Integrating open and citizen science into active learning approaches in higher education) stimulates Open Science, aiming at “transforming science through ICT tools, networks and media, to make research more open, global, collaborative, creative and closer to society” (DG Connect).Among the several understandings of OS (cf. Open Science Monitor http://tiny.cc/OSMonitor), we aim at open knowledge (OK) and open innovation (OI) as two sides of the OS coin, to achieve more focused, evidence-based results.OS brings new opportunities to the HE sector, as it urges HEIs to reconsider their societal role. However, HEIs are not always ready to cater to the increasing demands for more public engagement with science and technology, openness and active citizenship. On the other hand, CS initiatives are not always grounded on well tested pedagogical models facilitating an active learning and participation process of technology mediated social participation in the open. Finally, despite the recent interest in OS and CS, mainstreaming in HE curricula, change in HE skills and in HE teaching practice is scarce.INOS tackles these issues and connects 3 features that have yet to be associated: a) open and citizen science together, b) active learning approaches and c) mainstreaming in HE interdisciplinary practice and curricula. ObjectivesINOS has 6 objectives, each one addressed by an Output (O).The 1st objective of INOS is to generate an evidence-based overview of trends in OS (and CS) public activities and question the role that HEIs assume (or do not assume), as a means of better situating HEIs within the knowledge base of science with and for society (O1).The 2nd objective is to solidify OS (and CS) practice through solid pedagogical grounding from well-tested active learning pedagogies. A learning design framework will be created to benefit future OS (and CS) activities (O2).The 3rd objective invites citizens at partner HEIs to join CS projects in the form of Open Knowledge Activities (OKAs) in a collaborative effort together with HE staff and students. Best practice guidelines, a collection of use cases and a guide on how to run OKAs will be released for maximum impact at local, national and international level. 12 OKAs in 6 countries will take place with around 420 participants Planned OKAs: Datathon, service jam, Dotmocracy workshop, Knowledge café, Sensor-based CS problem-solving, etc.(O3).The 4th objective is interdisciplinarity. Partner HEIs will organise 4 short (1-2 day) and 4 long (4-6 month) Open Innovation Activities (OIAs) bringing together HE staff and students in collaborative and interdisciplinary projects. Implementation guidelines, use cases and a guide on how to run OIAs will be produced. The 8 OIAs will bring together around 400 participants, among them at least 270 students from different disciplines. Planned OIAs: hackathon, fablab, gamelab, Innovation sprint, FutureFactory, etc.(O4).The 5th objective is to upskill HE staff (academic and library) and students through the exposure to contemporary trends in public engagement (such as OS and CS). It also aims to modernise HE curricula by integrating OS and CS practices and then mainstreaming them in HE teaching practice. At least 15 learning and training resources in total (in curricula of at least 3 HE courses per HEI), will be upgraded (O5).The 6th objective is policy change. INOS will trigger policy change by raising awareness on societal impact from OS (and CS) inside and outside HEIs. Two vision-building workshops with 30 participants each, and a LIBER pre-conference workshop with 30 attendants will be organised. A Roadmap for capacity building on OS/CS for research libraries, a Report on Stakeholders’ Consultation and Vision & Policy recommendations will be released openly (O6).In addition, 3 multiplier events in Copenhagen (50 participants), Bordeaux (50) and The Hague (65) will be held to promote INOS results and ensure transferability.Target groupsINOS addresses a wide spectrum of stakeholders: HE management, academic and library staff, students, policy makers, funding bodies, business stakeholders, European and international networks for training and skills related to OS and CS.PartnershipThe consortium is composed of partners with complementary profiles: 4 HEIs (AAU, TU, UO, UBx), 1 SME (W2L) and the Association of European Research Libraries (LIBER). The partnership is well balanced geographically DK, FI, EE, FR, GR and LIBER which, while located in NL, has a pan-European reach.
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The exponential growth of data in the digital age has led to the development of powerful techniques for effectively harnessing digital information and discovering new knowledge. In this context, Text and Data Mining (TDM) enables researchers from different disciplines to analyse, extract insights and knowledge, and exploit diverse and complex datasets from various digital media. However, the present use of TDM in Europe is significantly lower than in the US and Asia, most probably due to limitations imposed by the European legal framework. In this light, the FutureTDM project identifies and reduces the barriers that inhibit the uptake of TDM for researchers, and innovative businesses. FutureTDM provides critical up-to-date assessments of legal regulations and policies impacting TDM in the EU, and places them in the international research and innovation context. It adopts a bottom-up approach by initiating dialogue between all relevant stakeholders, engaging them via knowledge cafés, workshops and representation on the advisory board to help identify barriers, common solutions and increase awareness of TDM practices and their potential. This combined approach will lead to developing novel policy frameworks and interdisciplinary case-driven practitioner guidelines facilitating the spread of TDM activities. Key to success will be the engagement of actors in the broader community (libraries, publishers, funders, etc.), who will be mobilised through workshops and will be provided with targeted recommendations in the Roadmap for TDM’s uptake. The knowledge distilled from quantitative and qualitative research will be integrated into a Collaborative Knowledge Base and Open Information Hub (www.FutureTDM.eu) using insightful visualisations. This dynamic platform will showcase excellence in TDM research and data-driven innovation and serve as reference for current and future TDM practitioners ensuring broader TDM uptake to boost Europe’s research and innovation capacities.
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