Workshops on Open Science

The Vernetzungsstelle Open-Access im Saarland offers workshops on Open Science topics since 2023.

Workshop on Good Scientific Practice

Date: 25.04.2024

Language: English

Speaker: Dr. Katrin Frisch

Dr. Katrin Frisch holds a doctorate in literature and works for a Ombuds Committee for Research Integrity in Germany called the German Research Ombudsman, which was established by the German Research Foundation (DFG). She has been working there since May 2020 as a research associate in the project "Discussion Hubs to Foster Research Integrity" and has also been part of the advisory office at the German Research Ombudsman since March 2023. The aforementioned project is concerned with the creation of practicable recommendations for action (as an objective), which are intended to supplement the DFG Code and serve as a tool for ombudspersons and researchers.

This workshop enables participants to explore various aspects of research integrity in both theory and practice. In a hands-on approach, the participants will discuss research dilemmas, based on anonymised conflict scenarios handled at the German Research Ombudsman. Deliberating these example cases from multiple perspectives, the participants will not only familiarise themselves with the rules of good research practice, but also learn about prevention and where to turn to if they need help or advice in case of conflict. This will be accompanied by a comprehensive theoretical introduction to the topic and the opportunity to discuss current issues relating to artificial intelligence, open access, and predatory journals as well as conflicts that participants have personally encountered.

Workshop "Research Data Management in the Social Sciences"

Date: 21.02.2024

Language: English

Speaker: Dr. Anja Perry

Dr. Anja Perry has been working in the Data Services for the Social Sciences department since 2016. Prior to this, she gained experience in handling research data in various projects and while working for the Federal Statistical Office. Since 2020, she has been leading the competence development measure in the NFDI consortium KonsortSWD. From 2019 to 2021, she led the training group for the DDI metadata standard. Her research interests are research data management, data publication, data discoverability and data protection.

Transparency in research and the replicability of research data and results is an integral part of good scientific practice. In addition, the re-use of (research) data by other people is now an integral part of empirical social science research. More and more (inter)national research funders, such as the European Commission, as well as journals, require active research data management to ensure that data are of good quality and can be (re-)used by both the original researchers and others in new (research) contexts. The (re-)use of data depends on a number of aspects, e.g., the way in which data is processed and legal requirementssuch as copyright and data protection. Researchers must therefore ensure that there are no legal obstacles to the (re-)use of the data and that the data are well prepared and documented.

The workshop guides researchers and data managers to ensure the use of their (research) data within the project and beyond, to comply with the rules of good scientific practice and to adequately meet funding requirements for data management. The workshop consists of short presentations and practical exercises and offers space to discuss specific problems and exchange experiences among the participants.

Workshop "Research Data Management"

Date: 15.01.2024

Language: English

Speaker: Katarzyna Biernacka

Katarzyna Biernacka has been the spokesperson for the Sub-Working Group "Trainings/Further Education" of the DINI/nestor-WG Research Data since the beginning of 2019. The group is committed to further developing and elaborating various training models and materials, as well as collecting existing training materials. She is also a founding member of the Open Science working group of the German Informatics Society.

Research data is a crucial part of the digitization process in science that challenges aspects of scientific work such as reproducibility, reusability, or sustainability. Professional management of digital research data is an essential prerequisite for effective and excellent research. In the workshop, the most important aspects of research data management are addressed:

  • Research data life cycle
  • Research data policies
  • Data management plans
  • Structuring of data
  • Documentation of research data
  • Storage and backup
  • Long-term archiving
  • Access security
  • Publication of research data
  • Reuse of research data
  • Legal aspects

The units are accompanied by practical exercises through which the newly acquired knowledge can be consolidated and transferred to one’s own use cases. Participants will learn useful tools and platforms for effective work with their data.

Workshop on Reproducible Research

On 04.09.2023, a half-day workshop on reproducible research took place at the Graduate Center of Saarland University (UdS). The event was coordinated by the Saarland Open Access Network (Vernetzungsstelle Open Access im Saarland), which was able to recruit Dr. Susann Auer as a speaker. Dr. Auer is one of the leaders of the initiative "Reproducibility for Everyone" and has inspired more than 500 participants with her trainings on reproducible work in science.

Rigor and reproducibility are the core of modern science and set apart scientific inquiry from pseudoscience. Many researchers have never received formal training on how to work in a way that enables reproducibility for themselves and other researchers.

This workshop presented reproducible workflows and a set of tools for researchers and anyone interested in a more reproducible way of working on the topics of organization, documentation, analysis and dissemination. After a brief introduction to reproducibility, the workshop provided specific tips that are useful in improving daily research workflows: The content included modules on data management, reproducible protocols and methods, data and code sharing, reproducible bioinformatics tools and methods, data visualization, and working with images.

Several use cases were worked through to directly apply the reproducible practices learned and discuss challenges in their own work. All workshop materials were made available in digital form to share with interested colleagues as well.