donders institute - research data management
TRANSCRIPT
Research Data Management (RDM)at the Donders Institute (DI)
and DCCN
Robert OostenveldM/EEG meeting
30 May 2016
Motivation for RDM
There are concerns by the funding agenciespublishersuniversity managementstakeholders
about thescientific qualityscientific efficiency
To improve the scientific process
Open access tomethods published manuscriptsdata
Better management of theresearch processdata
-> the goal of DI-RDM
-> the goal of DI-RDM
Research process is cyclic
http://www.berylgraham.com/asunder/mods/met3dvdl.htm
Data management at the DCCN1
2 4
3
Three “collections” for the specific moments in the research cycle
What is a research “project”
The “project” can be defined at the level of the research line of the PIfunding, e.g. Zwaartekrachtemployment contracts, e.g. PhD studentresearch questions for a student or postdocat the level of the DCCN organization -> PPM
One PPM/study will typically have three corresponding collections (DAC, RDC, DSC)
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
The roles of people in the RDM system
administratorcan initiate collections
managercan add researchers to a collection
contributorcan add/edit data to a collection
viewercan 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
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
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)
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
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
Questions?
Data sharing - new at the DCCNDe-identified data is to be shared at the moment of a publicationNot so common yet, but it is also possible to make a data publicationPrior 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 manusciptOnce a DSC is closed, everyone can see it and request accessAccess 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”