The research data management (RDM) exercise catalogue serves as a supplement to the published slide set and details how the exercises from the two-day workshop "FAIR RDM: Basics for Chemists" can be conducted. The workshop, held monthly since 2022, is based on previous RDM workshops and targets chemists at an introductory level. The catalogue includes various exercises, both general and chemistry-specific, along with activation activities. Each exercise description contains information on the RDM topic, session type, duration, format, required equipment, learning objectives, and competence areas. Recommendations for effective integration and follow-up are also provided. Most exercises offer alternative designs based on participant numbers (10 to 80) and can be adapted for online or face-to-face formats. The workshop is continuously evolving based on participant feedback, leading to adjustments in session sequences and topics that align with different project phases.
Unlocking the Potential of Data - FAIR Data Principles in NFDIThe presentation is part of a series of presentations in the webinar "Unlocking the potential of data - FAIR data principles in NFDI" which took place on 29 September 2023. It is an introduction to Research Data Management (RDM), FAIR data principles, and its advantages.
CAMELS is an abbreviation for "Control Application for Measurements, Experiments, and Laboratory Systems". It is an open software framework for measurement protocol configuration and makes research life easier from planning the experiments to data collection. This presentation took place on 29 September 2023 as a part of the "Unlocking the potential of data - FAIR data principles in NFDI" webinar organized by physical Sciences in NFDI. The content comprises of tool introduction and a discussion of its advantages in Research Data Management (RDM).
The presentation is part of a series of presentations in the webinar "Unlocking the potential of data - FAIR data principles in NFDI" which took place on 29 September 2023. The presentation introduces the Chemotion Electronic Lab Notebook (ELN) tool as one of the tools in Research Data Management (RDM), and discusses its key elements in an experimental setup with some related examples.
FAIR Research Data Management: Basics for ChemistsThe two-day interactive workshop "FAIR Research Data Management: Basics for Chemists" was and is offered both as an online workshop and as an in_person workshop. In both formats, the present slides were used. The concept integrates theoretical content with practical hands-on activities and discussions to enable participants to get started with a building block of research data management. In the workshop, participants will learn about different tools to help them get started and also to progress. In addition to general content such as the DFG checklist, the building blocks of research data management will be taught in a chemistry-specific way. Participants will learn the basis for FDM with chemistry-specific content. This publication is a set of slides to be used for the workshop and a schedule for the workshop. This can help trainers to plan a workshop. Also included in the table are the learning objectives, which are broken down according to Bloom's taxonomy.
Overview of research data management in chemistryOverview of research data management in chemistry is a 90 minute presentation that provides a basic introduction into research data management (RDM, what are research data, why are they useful), and the FAIR principles (Findable, Accessible, Interoperable, Reusable). The presentation guides through the research data life cycle to explain the benefits of RDM as a part of good scientific practices. It also provides useful links and introductions to NFDI4Chem services.
A Practical Guide to FAIR Research Data Management in Medicinal ChemistryScientists produce huge amounts of data every day, unfortunately not the full potential of these data is exploited. Most of the time, data is generated in a special project, kept within only one working group and forgotten after a few years. Eventually, the interest in these data arises again, but unfortunately, the data then is lost for different reasons: The data cannot be found, the data cannot be opened because the software is no longer supported, the documentation of the data is incomplete, so nobody understands the data anymore, and the list goes on. To avoid these issues, the FAIR principles [1] for good research data management were established, which are required by more and more funders, e.g., the DFG, and journals, e.g. ChemMedChem. But the scientists are not left alone with these new challenges. The NFDI4Chem [2] and SIS Pharmacy [3] support with tools, information materials, workshops and more to make the transition to FAIR research data as easy as possible. In this poster, we want to offer support to scientists which are new to the field of FAIR research data management. We will give an overview of the important concepts and principles, useful tools and offer starting points on how to start with FAIR research data management. In detail, FAIR principles, electronic lab notebooks (ELNs), data management plans (DMPs), repositories will be introduced, and a practical guide starting now with good research data management, will be presented. [1] M. D. Wilkinson at al., Sci Data, 2016, 3, 160018/1-9. [2] S. Herres-Pawlis, BFDM, 2021, 34-45. [3] C. Draheim et al., PZ Prisma. 2019, 26(2), 68-74.