14 Workflow 3
14.1 Informed consent
Why?
- Personal data is subject to General Data Protection Regulation (GDPR)
- Informed consent must therefore fulfill a number of requirements. E.g.,
- purpose of data collection (includes sharing the data and future use)
therefore often “broad consent” - participation is voluntary and without disadvantages
- revocation is possible at any time (until anonymized)
- purpose of data collection (includes sharing the data and future use)
Resources
- Checklist of legally compliant consent forms, German (VerbundFDB, 2019)
- Template for informed consent, German standard language (VerbundFDB, 2018)
- Template for informed consent, German plain language (VerbundFDB, 2018)
- Template for informed consent, German (Qualiservice)
- Explanations including template (DGPs), German (not specific for reuse)
- Overview and links concerning informed consent (ZPID), English
- Explanations and definitions around informed consent (Michigan Tech), US (not specific for reuse)
14.2 Decide for access restrictions
Why?
- Some data cannot or should not be anonymized (e.g., losing their reuse potential)
- Therefore access needs to be restricted to certain groups (as defined in consent form)
- Some researchers fear being scooped (Laine, 2017)
Resources
- Examples of restriction levels (VerbundFDB) (Meyermann & Porzelt, 2019, p. 30f)
- Examples of restriction levels (DGPs) (DGPs, 2021, p. 141ff)
Alternatives
- Embargo period
- Specify a time period, before data go public
- Possible with research data centers and some repositories
- Exclude certain research questions from reuse
- Specify these research questions in the terms of use
- Usually only possible with research data centers, except you are writing a very good license yourself
- Create synthetic data (e.g., with R package
synthpop
)- Mimics the properties of your data
- Then possible to share this synthetic data set
Questions to be answered at the end?
Please put them here!