I presented this in the MEG/EEG meeting at the Donders Centre for Cognitive Neuroimaging, which is part of the Donders Institute, Radboud University, NL.

1. Research Data Management (RDM)
at the Donders Institute (DI)
and DCCN
Robert Oostenveld
M/EEG meeting
30 May 2016

2. Motivation for RDM
There are concerns by the
funding agencies
publishers
university management
stakeholders
about the
scientific quality
scientific efficiency

3. To improve the scientific process
Open access to
methods
published manuscripts
data
Better management of the
research process
data
-> the goal of DI-RDM
-> the goal of DI-RDM

4. Research process is cyclic
http://www.berylgraham.com/asunder/mods/met3dvdl.htm

5. Data management at the DCCN
1
2 4
3

6. Three “collections” for the specific
moments in the research cycle

7. What is a research “project”
The “project” can be defined at the level of the
research line of the PI
funding, e.g. Zwaartekracht
employment contracts, e.g. PhD student
research questions for a student or postdoc
at the level of the DCCN organization -> PPM
One PPM/study will typically have three
corresponding collections (DAC, RDC, DSC)

8. Concrete for the DCCN
Every DCCN researcher uses his u-number to create
an account at http://data.donders.ru.nl/
Following the PPM, the research administration
initiates the data acquisition and research
documentation collection (DAC and RDC)
The PI is assigned to the collections as the
“collection manager”
The researcher is assigned as one of the “collection
contributors” and starts managing data

9. The roles of people in the RDM system
administrator
can initiate collections
manager
can add researchers to a collection
contributor
can add/edit data to a collection
viewer
can read data in a collection
DCCN administration
The PI, or postdoc, or a
responsible PhD student
PhD student, research
assistants, other co-workers
Other people with whom the
data is to be shared

10. Specific for the manager
When the study/PPM comes to an end, the
collection is closed
After a final check of the the metadata (i.e. the
title, description, keywords, etc.), the closed
collection is frozen
At that moment nothing can be changed (*)
Data sharing collections are published and
become visible

11. What are the ingredients?
Web site front-end http://data.donders.ru.nl/
Graphical and command-line tools for accessing
the storage system (webdav, cyberduck, …)
User accounts and collection-specific roles
Three types of collections
Data usage agreements for sharing
Metadata (information about each collection)

12. What is in it for you?
Easier to use than the USB disks
Raw DICOM and MEG data will be automatically
uploaded in the future
Allows for collaboration and for shared
responsibilities: all co-authors should get access to
the RDC
Allows for easier re-use of data
Publishing your data will increase your scientific
impact

13. How to proceed (soon)
Create an account on
https://data.donders.ru.nl
Read the documentation on
http://donders-institute.github.io/rdm-wiki/en/#!index.md
Ask the research administration to initiate a collection
(at present you should ask me or Hurng)
Start managing your research data

14. Questions?

15. Data sharing - new at the DCCN
De-identified data is to be shared at the moment of a
publication
Not so common yet, but it is also possible to make a data
publication
Prior to finalizing publication, the researcher or PI requests a
DSC, uploads the data, gets a persistent identifier (like a DOI)
and adds that to the manuscipt
Once a DSC is closed, everyone can see it and request access
Access is only granted for people that have registered with an
account and that have agreed to the collection specific Data
Usage Agreement (DUA)
People that have access are added as “collection viewers”