Beiträge von izadorapimenta

    A Master Thesis project is available at the Chair of Fluid Systems.

    Looking for motivated students with a great interest in interdisciplinary work and scientific publication. If needed, we can adapt the thesis topic accordingly.


    What is the challenge?


    Sharing research data and code is quickly becoming the new normal in the engineering sciences. The scientific method is being expanded to include data literacy, data management and data infrastructure. As a result, Research Data Management (RDM) in engineering sciences becomes a focused subject of research in its own right. However, creating a community around this subject and ensuring the quality of the results is still an ongoing challenge.


    How do we solve it?


    The scientific journal ing.grid – FAIR Data Management in Engineering Sciences (http://www.inggrid.org) was established in 2021 as a platform for discussion on and recognition of good scientific practice in RDM, such as making scientific data and code findable, accessible, interoperable, and reusable (FAIR).


    ing.grid has developed its own unique open peer review process in which the peer review does not take place behind closed doors: the comments of the reviewers, the authors and the editors are publicly available. Moreover, the journal accepts not only manuscripts but also datasets and software, which also undergo open peer review.


    After the first submissions have been published, it is necessary to check how well the open peer review process in ing.grid helps to meet the ing.grid guidelines, especially those related to the FAIRness of the submissions. It is also important to assess whether ing.grid lives up to its goal of driving forward the discussion on RDM practices in engineering sciences.


    How can you contribute?


    You will create a set of quality KPIs to serve as the evaluation scheme for the open peer review process in ing.grid. In the first step, you will analyse whether the reviews helped the authors to fit the ing.grid author guidelines for the publication of manuscripts, software and data. For this purpose, you will evaluate the open peer review process of the existing submissions (approx. 3-5). You will also assess whether the FAIR principles are well implemented. Your work will lead to the creation of an evaluation scheme that can be used by the journal management team to see whether the journal meets its goals in terms of quality and whether it can drive the discussion about RDM in engineering sciences forward.


    What do we offer?


    You will gain first-hand experience with independent scientific publishing and an exciting insight into the current discussion about the future of open peer review. You will also have the opportunity to work with an interdisciplinary group and to understand the functioning of a scientific journal. You will also learn about RDM, which is a topic gaining a lot of attention currently. Last but not least, you can also improve your communication, writing and presenting skills.


    We can discuss the focus and tasks together in an interview in presence or over Zoom. Please contact us by mail if you have any questions.


    Betreuerin

    Dr. phil. Izadora Silva Pimenta

    +49 6151 16-27110

    izadora.pimenta@tu-darmstadt.de

    We seek student assistants to strengthen our research data management team at FST. For this task, you will be able to contribute to developing data literacy and research data management in teaching in an interdisciplinary environment.


    You will help with the disciplines related to Fundamentals of Digitisation and the Practical Course on Digitisation at the institute. These modules will be offered from the next Winter Semester (2023/24) and are in line with the new Guidelines for dealing with digital research data at the TU Darmstadt (opens in new tab).

    You must be familiar with programming in Python and interested in developing research data management structures.


    Your profile:

    • Willingness to delve deeply into research data management and data literacy;
    • High ability to learn and reflect on the use of language in formal descriptions;
    • Familiarity with programming in Python;
    • Familiarity with Git, JSON, JupyterHub and Raspberry Pi;
    • High level of independence and organisational skills;
    • Good working level in English (at least B2); basic knowledge of German (minimum A2);
    • Good communication skills;
    • Availability and willingness to be part of our team for at least one year, preferably longer;
    • Interest in further qualification.

    Other desirable points would be:

    • Familiarity with LaTeX ;
    • Interest in sensor technology

    Please send a short-written application with a cover letter and CV via email to canan.hastik@fst.tu-darmstadt.de