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Now showing 1 - 10 of 25
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    Metadatenschema für Schulungsmaterialien zum Thema Forschungsdatenmanagement
    (Meyrin : CERN, 2020-04-27) Biernacka, Katarzyna; Danker, Sarah Ann; Engelhardt, Claudia; Helbig, Kerstin; Hendriks, Sonja; Jacob, Juliane; Jagusch, Gerald; Lanza, Giacomo; Leone, Claudio; Meier, Kristin; Neumann, Janna; Odebrecht, Carolin; Peters, Karsten; Rehwald, Stephanie; Rex, Jessica; Senft, Matthias; Strauch, Annette; Thiemann, Kathrin; Trautwein-Bruns, Ute; Wiljes, Cord; Wuttke, Ulrike; Ziedorn, Frauke
    Das Dokument enthält ein Metadatenschema für Schulungsmaterialien zum Thema Forschungsdatenmanagement. Dieses Schema wurde von der UAG Schulungen/Fortbildungen der DINI/nestor AG Forschungsdaten erstellt und bei der Materialsammlung von FDM-Schulungsmaterialien unter https://rs.cms.hu-berlin.de/uag_fdm/ umgesetzt.
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    Organization ldentifier in Journals und Verlagen
    (Meyrin : CERN, 2020-12-02) Withanage, Dulip
    Research Organization Registry (ROR) stellt eindeutige Kennungen für Organisationen zur Verfügung und ermöglicht deren freie Nutzung. Open Journal Systems (OJS) ist eine Software zur Verwaltung von Zeitschriften. Die Technische Informationsbibliothek (TIB), Hannover, entwickelte und präsentiert die Unterstützung automatisch vorgeschlagener ROR-IDs für OJS, einschließlich der automatischen Verknüpfung mehrsprachiger Organisationskennungen.
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    ConfIDent: Enter the Feedback Loop
    (Meyrin : CERN, 2020-01-29) Strömert, Philip
    Slides from session at PIDapalooza2020, January 29th 2020, Lisbon, Portugal.
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    Moving towards FAIRness in Research Data and Software Management
    (Meyrin : CERN, 2020-07-03) Kraft, Angelina
    Presentation during the Thüringer FDM Tage 2020 within the workshop "FAIR Research Software and Beyond: How to make the most of your code".
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    Advancing Research Data Management in Universities of Science and Technology
    (Meyrin : CERN, 2020-02-13) Björnemalm, Matthias; Cappellutti, Federica; Dunning, Alastair; Gheorghe, Dana; Goraczek, Malgorzata Zofia; Hausen, Daniela; Hermann, Sibylle; Kraft, Angelina; Martinez Lavanchy, Paula; Prisecaru, Tudor; Sànchez, Barbara; Strötgen, Robert
    The white paper ‘Advancing Research Data Management in Universities of Science and Technology’ shares insights on the state-of-the-art in research data management, and recommendations for advancement. A core part of the paper are the results of a survey, which was distributed to our member institutions in 2019 and addressed the following aspects of research data management (RDM): (i) the establishment of a RDM policy at the university; (ii) the provision of suitable RDM infrastructure and tools; and (iii) the establishment of RDM support services and trainings tailored to the requirements of science and technology disciplines. The paper reveals that while substantial progress has been made, there is still a long way to go when it comes to establishing “advanced-degree programmes at our major universities for the emerging field of data scientist”, as recommended in the seminal 2010 report ‘Riding the Wave’, and our white paper offers concrete recommendations and best practices for university leaders, researchers, operational staff, and policy makers. The topic of RDM has become a focal point in many scientific disciplines, in Europe and globally. The management and full utilisation of research data are now also at the top of the European agenda, as exemplified by Ursula von der Leyen addressat this year’s World Economic Forum.However, the implementation of RDM remains divergent across Europe. The white paper was written by a diverse team of RDM specialists, including data scientists and data stewards, with the work led by the RDM subgroup of our Task Force Open Science. The writing team included Angelina Kraft (Head of Lab Research Data Services at TIB, Leibniz University Hannover) who said: “The launch of RDM courses and teaching materials at universities of science and technology is a first important step to motivate people to manage their data. Furthermore, professors and PIs of all disciplines should actively support data management and motivate PhD students to publish their data in recognised digital repositories.” Another part of the writing team was Barbara Sanchez (Head of Centre for Research Data Management, TU Wien) and Malgorzata Goraczek (International Research Support / Data Management Support, TU Wien) who added:“A reliable research data infrastructure is a central component of any RDM service. In addition to the infrastructure, proper RDM is all about communication and cooperation. This includes bringing tools, infrastructures, staff and units together.” Alastair Dunning (Head of 4TU.ResearchData, Delft University of Technology), also one of the writers, added: “There is a popular misconception that better research data management only means faster and more efficient computers. In this white paper, we emphasise the role that training and a culture of good research data management must play.”
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    OCK – Open Climate Knowledge
    (Meyrin : CERN, 2020-01-14) Murray-Rust, Peter; Worthington, Simon
    100% open collaborative research for climate change knowledge / using data mining & open science publishing. The climate crisis of the predicted atmosphere temperatures rising to 1.5C + makes it imperative that research related to climate change be put to better use by being open and digitally connected. We are concerned with making all aspects of research open, but as an example, less than 30% of research papers related to climate change are Open Access (Tai and Robinson 2018). This must change now!
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    Open practice in science and education – a discussion with researchers and educators who tested to be open
    (Meyrin : CERN, 2020-04-09) Heck, Tamara; Blümel, Ina; Fahrer, Sigrid; Lohner, David; Schneider, Jürgen; Visser, Linda
    How can we make the shift from closed to open practice in research and education? What are incentives for researchers to apply open science and open educational practices, and what hinders them to do so? The OPER study (Open Practices of Educational Researchers), funded by the Leibniz Research Alliance Open Science, investigates those questions. Study participants chose open scenarios for their daily research or teaching practices and tested them for six to 12 month. They wrote down their experiences with and opinions on open practices in dairies. The starting workshop was held in April 2019 with the first round of participants. First discussions on relevant topics were collected in Wikiversity and online pads.
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    Conference Identifiers : the story so far and how to proceed
    (Meyrin : CERN, 2020-02-07) Franken, Julian; Strömert, Philip; Eckert, Kai; Benchekroun, Sami
    The Conference ID working group has a simple goal: identify conferences in a landscape of many similarly named organizations and constantly changing elements like organizers, names, publishers and so on. The idea is simple, the implementation not so much. In this session, we would like to introduce briefly the current state of the working group, as well as some current issues for the audience to be discussed. Issues include for example: Are use cases for conference identifiers missing? What identifiers to use? Who should manage the issuing of the identifiers? How do we promote the new identifiers?
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    ORCID Germany Consortium - Numbers and Figures
    (Meyrin : CERN , 2018) Vierkant, Paul; Pampel, Heinz; Bertelmann, Roland; Dreyer, Britta
    This poster shows the development and status of the ORCID Germany Consortium.
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    Three Rs for Re-Use in Digital Preservation
    (Meyrin : CERN, 2020-02-05) Lindlar, Michelle
    This presentation was given at the " Hergebruik / Re-use Seminar " held for and by Barbara Sierman at the KB Netherlands on February 5th, 2020. 4 speakers were given the topic "Re-Use", asking for their take on the subject. This presentations highlights how three attributes are closely connected / describe re-use: research-based, reproducible, responsible. It is shown how they connect to re-use and digital preservation and where the digital preservation community has room for improvement.