31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
---
|
|
draft: true
|
|
# This information will be auto-generated in this format,
|
|
# based on data that people submit as a structured citation
|
|
# record (RIS, bibtex, ...)
|
|
title: "Szczepanik et al. (2024) Teaching research data management with DataLad: a multi-year, multi-domain effort. Neuroinformatics."
|
|
# this is for sorting the publication list items, can also be
|
|
# a full date
|
|
date: 2024
|
|
# a link to this publication, whereever it lives
|
|
externalUrl: https://doi.org/10.1007/s12021-024-09665-7
|
|
# this is not the author list, but those TRR379-related invidiuals
|
|
# with which this publication should be associated
|
|
contributors:
|
|
- michael hanke
|
|
# which projects are associated with this publication
|
|
projects:
|
|
- q02
|
|
# and the related topics
|
|
topics:
|
|
- rdm
|
|
# below text is a terse summary used for display in publication lists
|
|
---
|
|
|
|
In this work, we detail and evaluate our multi-modal teaching approach to
|
|
research data management in the DataLad ecosystem, both in general and with
|
|
concrete software use. Spanning an online and printed handbook, a modular
|
|
course suitable for in-person and virtual teaching, and a flexible collection
|
|
of research data management tips in a knowledge base, our free and open source
|
|
collection of training material has made research data management and software
|
|
training available to various different stakeholders over the past five years.
|