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The University Library is able to support members of the University of Applied Sciences Erfurt with open access publishing thanks to transformation contracts with Springer Nature, Wiley, Elsevier and Taylor and Francis. The Digital Library of Thuringia (DBT) is a repository that enables free electronic publication of project reports, studies, research results and conference proceedings, independently of publishing houses.  

It is also possible to publish theses in the DBT.

Service Point for Research Data Management

Research data management (RDM) involves the planning, implementation and evaluation of all work aimed at keeping the data generated in academic research accessible, reusable and verifiable for the long term and independent of the data generator. The FAIR principles are a useful guideline for achieving these objectives.  

Research data management is defined by the German Research Foundation, among others, as an integral component of good academic practice, with a growing number of research-funding organizations stipulating it as a condition for project approval.

You can find extensive information here.

Our service point was set up in October 2023 to support research data management at the University of Applied Sciences Erfurt. It is part of the BMBF-funded FDM-HAWK project across the state of Thuringia. At the University of Applied Sciences Erfurt, it is closely linked to the pilot project on scientific research data management at the Research Centre for Horticultural Crops (FGK) and collaborates extensively with the Service Centre for Research and Transfer.

Services

We are currently developing our services. At present, we offer the following:

  • We are happy to provide all researchers at the University of Applied Sciences Erfurt with advice on research data management (RDM) and, if necessary, refer you to specialists within our network. You are welcome to contact us if you have any questions about the following aspects of RDM, regardless of your subject area or prior knowledge:

    • creating a data management plan
    • curating and annotating research data
    • finding and citing research data
    • publishing research data
    • licences and persistent identifiers
    • backup and archiving of research data
  • The objectives of the FDM-HAWK project include recording and analysing how research data is currently managed at the University of Applied Sciences Erfurt and identifying research needs (personnel, software and hardware resources, advice, training, information materials). This will form the basis for developing services that are tailored to the research needs at the University of Applied Sciences Erfurt.

    What kind of services would you find useful with regard to research data management? We would be very grateful for your suggestions.

  • The pilot projects at the participating universities are an integral part of FDM-HAWK. These projects are developing, testing and analysing research data management solutions for a variety of research disciplines. Their findings are shared within the network and will be used as models for research projects in the relevant disciplines.

    As part of the scientific pilot project, a data management concept is being developed and a modular Laboratory Information Management System (LIMS) is being introduced at the  Research Centre for Horticultural Crops (FGK). The focus of this project is on securing raw and derived data, as well as transferred and self-created descriptions for generating derived data. The data will be made available to the funding body and for a course module via a cloud system.

  • FDM-HAW Competence Cluster Jena-Erfurt-Nordhausen-Schmalkalden (FDM-HAWK)

    FDM-HAWK was founded in 2022 and is funded by BMBF (the Federal Ministry of Education and Research). In cooperation with the Thuringian Competence Network for Research Data Management, the Thuringian universities of applied sciences are developing coordinated technical, organizational and professional RDM structures. The specific requirements of the universities are reflected in practical needs analyses, concepts and evaluations in pilot projects.

    forschungsdaten-thueringen.de/fdm-hawk-en.html

    Thüringer Kompetenznetzwerk Forschungsdatenmanagement (TKFDM)

    Das TKFDM wurde 2018 gegründet und befindet sich in der Aufbauphase. Es ist Ansprechpartner für Forschende aller Thüringer Hochschulen im Bereich Forschungsdatenmanagement. Dies umfasst alle Aspekte des Umgangs mit Daten, die während des Forschungsprozesses entstehen.

    Das TKFDM vernetzt die an den Thüringer Universitäten (Universität Erfurt, Technische Universität Ilmenau, Friedrich-Schiller-Universität Jena, Bauhaus-Universität Weimar) angesiedelten Beratungsstellen zum Forschungsdatenmanagement und stellt seine Services allen Thüringer Hochschulen zur Verfügung. Es bietet Beratung und Schulungen zu allen Fragen rund um das Thema Forschungsdaten an.

    forschungsdaten-thueringen.de/home.html