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Data Management Workshop with DataLad



Research Data Management is a core component of good scientific practice and can help to make your work not only more reproducible and transparent - but also easier.

Ever worked through such a directory?

A metaphor for papers and project directories

Is this metaphor fitting to a recent paper of yours?

A metaphor for papers and project directories

Have you ever looked like this trying to figure out how a colleagues script is supposed to work (or an old script of yourself)?

A metaphor for papers and project directories

In this full-day workshop, organized as part of the Reproducible Neuroimaging (ReproNim) initiative to improve the reproducibility of neuroimaging science, ReproNim fellows will introduce core concepts and software tools that can make your next research project easier: Version control, principles for data analysis, data publication, and collaborative scientific workflows.

The workshop will be virtual and free to attend.

Workshop Contents

The workshop will center around DataLad, an open source software tool for data management and data publication. We will introduce core concepts of good research data management - joint version control of code and data, provenance capture for reproducible analysis, organizational principles for data analysis, and workflows and services for data publication and collaboration - in conjunction with demonstrating readily-applicable workflows or examples.

If you have always wanted to get going with version control, are curious to find out how to use DataLad, or want see simple workflows for reproducible science - from data sharing to reproducible papers - this workshop will be useful and easier than you think.


Location, date and time

The workshop will take place virtually, at UTC+2 (Berlin time) at Wednesday, November 18th 2020. It is scheduled as a full-day event (including breaks). Materials and recordings will be made available publicly after the workshop.


Attendance is free, but a registration is required.

➡️ To register for the workshop, please fill out this online form.

Your e-mail address will be used to send out further information as well as log in details to the virtual meeting. Your data will be not be stored beyond the workshop, and is only used for workshop coordination.

In case of any questions about the registration, please write an e-mail with the subject header "MPI Data Management Workshop Registration" to


As the workshop is virtual, on-site trouble-shooting and help is very limited. We ask participants to prepare by installing and testing all required software prior to the workshop, and reach out early in advance to the instructors if they require help. Instructions can be found in the section Preparations for participants.

Code of Conduct

We ask all participants to adhere to a code of conduct for the virtual meeting. It can be found in the section Code of Conduct.


Do you have questions or are missing information on this website? Here are your options:

  1. Please check out the Frequently Asked Questions (FAQ) which might already provide an answer to your question.
  2. Please open a new Issue on GitHub. We will then update the website accordingly with an answer. Please note, that the GitHub issues are public.
  3. Write us an e-mail at


Adina Wagner Personal website and contact details:
Adina is a doctoral researcher in the Psychoinformatics Lab at the INM-7, Research Centre Jülich. She is a part of the DataLad Team with a leading role in documentation, teaching, and outreach, and a 2020/21 ReproNim/INCF Fellow. Picture of Adina
Lennart Wittkuhn Personal website and contact details:
Lennart is a PhD candidate in Cognitive Neuroscience and works with Nico Schuck in the Max Planck Research Group NeuroCode at the Max Planck Institute for Human Development in Berlin. He is a member of the International Max Planck Research School for Computational Psychiatry and Ageing Research and a 2020/21 ReproNim/INCF Fellow. Picture of Lennart



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