Facilitate Open Science Training for European Research Permanent allocation of research data Open Data in Horizon 2020-Projects Permanent allocation of research data Jens Dierkes, Universität Göttingen Paolo Budroni, Universität Wien Wien, 11. Juni 2015 Dierkes, Budroni - 7 Vienna – June 11 2015 WORLDS OF DATA : ABOUT RESEARCH DATA ABOUT DATA Dierkes, Budroni - 8 Vienna – June 11 2015 The LERU Roadmap for Research Data presents the following sets this context (*) : “Research data, from the point of view of the institution with a responsibility for managing the data, includes: • All data which is created by researchers in the course of their work, and for which the institution has a curational responsibility for at least as long as the code and relevant archives/ record keeping acts require, and • third-party data which have originated within the institution or come from elsewhere.” (*) LERU Research Data Workingg Group, Advice Paper No. 14 – December 2014 World of data Raw data (primary data) Processed Data Negative Results Processed Data Processed Data Inconclusive Results Processed Data Processed Data Shared Data Processed Data Positive results Positive results Shared Data Shared Data Pub. Data OA Pub. Data Release d Data Different levels of processing of data Model for digital archiving Ensuring legal and ethical compliance is key issue in this context Dierkes, Budroni - 12 Vienna – June 11 2015 Levels / layers in processing of data Raw data, primary data Processed Data: verarbeitete Daten (positive, negative and inconclusive results) Shared Data and Published Data Open Access Published Data Dierkes, Budroni - 13 Vienna – June 11 2015 Open Data Shared Data and Reused Data Published Data Restricted Data  Strata of research data Dierkes, Budroni - 14 Vienna – June 11 2015 THE DIGITAL WORKFLOW Dierkes, Budroni - 16 Vienna – June 11 2015 FOUR MAIN ACTORS INVOLVED IN THE MGMT OF RESEARCH DATA THE STAKEHOLDERS Research Libraries IT-Services Researchers Funders / Funding Services Dierkes, Budroni - 17 Vienna – June 11 2015 FOUR MAIN ACTORS ARE INVOLVED IN THE MGMT OF RESEARCH DATA FOUR STAKEHOLDERS Research Libraries IT-Services Researchers Funders / Funding services e-infrastructures “eResearch refers to the development of, and the support for, advanced information and computational technologies to enhance all phases of research process.” Richard E. Luce (2008) eResearch = enhancedResearch making best use of the digital environment On the road to an institutional support for research data managment Proposals for Safeguarding Good Scientific Practice (1998/2013)1 Recommendation 7/17: Safeguarding and Storing of Primary Data • “Primary data as the basis for publications shall be securely stored for ten years in a durable form in the institution of their origin.” • “Commentary: […] As a rule, the original data and documentation remain where they were created. However, duplicates can be made or access rights specified.” Recommendations for Secure Storage and Availability of Digital Primary Research Data (2009)2 • 7 recommendations to raise awareness among scientists and IT specialists and motivate them to perform this task “as a kind of voluntary commitment” • basis for funding to build and adapt infrastructure components 1 http://www.dfg.de/download/pdf/dfg_im_profil/reden_stellungnahmen/download/empfehlung_wiss_praxis_1310.pdf 2 http://www.dfg.de/download/pdf/foerderung/programme/lis/ua_inf_empfehlungen_200901_en.pdf Proposal Preparation Instructions – Project Proposals (2014) 1 2.4 Measures to meet funding requirements and handle project results • “[…] illustrate your sustainability plan” • “Describe measures to safeguard and disseminate the project results […]; name the institutions/facilities that will be responsible for this” • “[…] describe [measures] to ensure [research data] management, curation and long-term preservation for future reuse. Please regard existing standards and data repositories in your discipline where appropriate.” Supplementary Instr. for Proposals f. Long-Term Projects (2014) 2 • “The data documentation plans must allow for the long-term use of the data.” 1 http://www.dfg.de/formulare/54_01/54_01_en.pdf 2 http://www.dfg.de/formulare/1_01/1_01_en.pdf 28 August 2014 (Digital) data are becoming a central asset of today’s research • Pilot project of the University (2014-2018) • Run by • GWDG (computing center) and • SUB (library) • Team with interdisciplinary background • Central point of contact Humanities IT S er vi ce s Library The Consulting Connecting Training Services The Consulting Connecting Training Services • proposals • data strategy • open access • requirements analysis • publication strategy • ... Workflow w/ Research Office for DFG proposals  also EU projects Metadata File License Persistent Identifier # External Systems All types of data Processes D A T A P R O V ID E R S Umfassender DMP – Entlang der Geschäftsprozesse Ontologie der Objekte Unterschiedliche Typen LEARN – Leaders Activating Research Networks (Horizon 2020 Project) – Implementing the LERU Research Data Roadmap and Toolkit 38 Advocate LERU Roadmap for Research Data and LEARN project outputs • Particularly good for new career researchers Encourage use of RDM policies and plans • Use LERU Roadmap Recommendations • LEARN project findings Stimulate further research on RDM support • Amplify questions raised in Roadmap • Produce new LEARN Toolkit to supplement LERU Roadmap Dierkes, Budroni - 39 Vienna – June 11 2015 University of Göttingen Göttingen eResearch Alliance Jens Dierkes, dierkes@sub.uni-goettingen.de University of Vienna Library and Archive Services Paolo Budroni, paolo.budroni@univie.ac.at Main objectives 40 5 Workshops in Months (M 8, 11, 14, 17 and 20) • Workshops are the main point of contact with researchers and research organisations in LEARN Advocate use of LERU Roadmap for Research Data • Use LERU Roadmap to start discussion at institutional level of RDM requirements and possibilities Stimulate further research on RDM support • Amplify questions raised in Roadmap • Produce new LEARN Toolkit to supplement LERU Roadmap