The Data Train Program is designed to equip early-career researchers and students with essential skills in research data management and data science. The program is divided into multiple “tracks” to accommodate a variety of learning needs.
The program starts with an overview lecture series – the "Starter Track" – from January to June on various disciplines improving your data skills. It is initiated each January with an official Kick-off Event and Get-together. From July to December each year, the two Operator Tracks alternate, i.e. the "Data Steward" and the "Data Scientist", which are composed of hands-on workshops using diverse computational analysis methods. We also regularly offer "Data Stories", which are invited talks from industry and academia.
Further questions
Dr. Lina Schaare
Research Data Management and Data Science
lina.schaare@vw.uni-bremen.de
Phone: +49 421 218 60049
Starter Track
The Starter Track lectures (Level 1 “Understand”) transmit a generic knowledge in research data management and data science. This track is designed for anyone who wants to get started in data literacy.
Schedule: January to June 2025
Registration: Open
Operator Track 'Data Scientist'
Data science is concerned with extracting information and gaining knowledge from data using computational analysis methods. In the hands-on workshops of the Operator Track ‘Data Scientist’, participants learn mathematical and statistical methods, artificial intelligence applications, computer science concepts for data analysis and data visualization skills.
Schedule: July to December 2025
Registration: From spring 2025
Selected publications related to Data Train
- Whitepaper: Etablierung eines kooperativen Forschungsdatenmanagements in der U Bremen Research Alliance
Pigeot, Glöckner, Drechsler, Hörner, Schönfeld, Steinmann, Schmidt. 2021. Etablierung eines kooperativen Forschungsdatenmanagements in der U Bremen Research Alliance (Version V1). Zenodo. - Disziplinübergreifendes Modell zur Ausbildung von Forschungsdatenmanagement und Data Science Kompetenzen: ‚Data Train – Training in Research Data Management and Data Science‘
Hörner, Glöckner, Drechsler, Pigeot. 2021. Disziplinübergreifendes Modell zur Ausbildung von Forschungsdatenmanagement und Data Science Kompetenzen: ‚Data Train – Training in Research Data Management and Data Science‘. Bausteine Forschungsdatenmanagement, Nr. 3. German: 56-69. - FAIRsFAIR Report: Good Practices in FAIR Competence Education; Data Train als "Good Practice"
Garbuglia, Saenen, Gaillard, Engelhardt. 2021. D7.5 Good Practices in FAIR Competence Education (1.1 DRAFT). Zenodo - FAIRsFAIR Report: Data Train - Training in Research Data Management and Data Science: Good Practice #1
Garbuglia, Saenen, Gaillard. 2022. Data Train - Training in Research Data Management and Data Science: Good Practice #1. Zenodo - Handreichung: Open Educational Resources (OER) im Sinne von Open Science und einer FAIRen Daten-Kultur
Hackl, Hörner, Kalová, Slowig. 2022. Handreichung: Open Educational Resources (OER) im Sinne von Open Science und einer FAIRen Daten-Kultur. Zenodo. - Lernzielmatrix zum Themenbereich Forschungsdatenmanagement (FDM) für die Zielgruppen Studierende, PhDs und Data Stewards
Petersen, Engelhardt, Hörner, Jacob, Kvetnaya, Mühlichen, Schranzhofer, Schulz, Slowig, Trautwein-Bruns, Voigt, Wiljes. 2022. Lernzielmatrix zum Themenbereich Forschungsdatenmanagement (FDM) für die Zielgruppen Studierende, PhDs und Data Stewards (Version 1). Zenodo. - Training concepts in research data management and data science with the focus on health research
Dierkes, J., Fürst, J., Hörner, T., Klammt, S., Lindstädt, B., Pigeot, I., Restel, K., Schmidt, C. O., Waltemath, D., & Zeleke, A. (2023). Zenodo. - Lernzielmatrix zum Themenbereich Forschungsdatenmanagement (FDM) für die Zielgruppen Studierende, PhDs und Data Stewards (Version 1)
Petersen, B., Engelhardt, C., Hörner, T., Jacob, J., Kvetnaya, T., Mühlichen, A., Schranzhofer, H., Schulz, S., Slowig, B., Trautwein-Bruns, U., Voigt, A., & Wiljes, C. (2022). Zenodo.
