MoveD - Open Research Data Guidelines for Movement Laboratories
Authors/Creators
Contributors
- 1. University of Geneva
- 2. Universitäts-Kinderspital beider Basel
-
3.
Ostschweizer Kinderspital
-
4.
Bern University of Applied Sciences
-
5.
University Children's Hospital Zurich
- 6. Lake Lucerne Institute
-
7.
ETH Zurich
-
8.
Cereneo
-
9.
University of Zurich
-
10.
Universitätsklinik Balgrist
- 11. Schulthess-Klinik
-
12.
University of Basel
Description
These guidelines are structured along the data life cycle. They aim to guide the staff of a movement laboratory when they want to share data publicly. These guidelines address all the necessary steps that have to be performed from planning a study up to the point where data can be published; they include ethical and legal considerations as well as data structuring processes. Please select a document with a specified phase of the data life cycle, you will then be shown all the information that has to be considered in this particular project phase.
The legal framework regarding research with human beings differs in each country. As this guideline is intended to be directly applicable to Switzerland, only Swiss laws and regulations are presented. The content of these guidelines can, however, be adjusted to other countries by taking their legal framework into consideration. The user is free to do this. We do not, however, assume any responsibility regarding the interpretation of the legal text or templates for informed consent. The final decision lies with the local ethics committee.
Further resources, as checklists, metadata template generator, and example of shared data with metadata, can be found in the Zenodo Community Open Research Data Guidelines for Movement Laboratories.
Notes
Table of contents (English)
Terminology:
- FAIR principles
- Open data
- Metadata
- Data processing vs. Data analysis
- Movement data
- Anonymized vs. encoded data
Plan / Design:
- Considerations when planning a project
Collect:
- Metadata
- Marker model
- Informed consent with reference to data sharing
Process:
- Metadata
- Source code
- Description of source code / readme file
- Open file format
Analyze:
- Metadata
- Source code, if applicable
- Description of source code / readme file, if applicable
Archiving:
- Legal requirements
- Key management
- Data access
Share (open access):
- Licences
- Informed consent
- Choosing a repository to publish data
- Metadata
- Data
Reuse:
- Search for reuse
- Example repositories for movement data
- Quality check
Files
1_Terminology.pdf
Files
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Additional details
Related works
- Is described by
- Data paper: 10.1016/j.dib.2025.111884 (DOI)
Funding
- Swissuniversities
- ZHAW Zurich University of Applied Sciences