Donders Institute - Research Data Management

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”