[2.1] Data Management Planning - Research Data Management - part of PhD course - [3TU.Datacenter]

Research Data Management Planning

(RDMP)101 for PhD students, starting their academic career

[2014] CC-BY: 3TU.Datacentre

more info @ www.datacentrum.3tu.nl/en/

What will you learn?• What is a RDMP, and why it is useful in

your research workflow.• How a RDMP looks like, and what

chapters it contains.• How to write your own RDMP. (group assignment)

• What the review committee of a funding body might ask. (group assignment)

What, why and how of RDMP

Source: http://youtu.be/gYDb-GP1CA4 [5:30]

Data Management Plans• DMPs are often submitted with grant applications,

but are useful whenever you are creating data to:

• Make informed decisions to anticipate and avoid problems

• Avoid duplication, data loss and security breaches

• Develop procedures early on for consistency

• Ensure data are accurate, complete, reliable and secure

• Save time and effort – make your life easier!

Help from 3TU.Datacentrum

http://datacentrum.3tu.nl/en/what-we-offer/data-management-plan/

DMP template – how it works

Six common themes

1. Data collection2. Data storage and back-up3. Data documentation4. Data access5. Data sharing and reuse6. Data preservation and archiving

Data collection

Can you describe the data you will be creating/collecting?

• Description of the data; including type of data, amount or estimated number of files

• File formats• Version control

KNMI-mast Cabauw

Data storage and back-up• How do you ensure that during your

research all research data are stored securely and backed up or copied regularly?

Image: http://jessalingel.tumblr.com/post/66108958850/this-is-not-an-archive

Data documentationHow will your data be documented to help future users to understand and reuse it?

• Metadata• Methods• File naming• Identifiers• Software

CC-BY Image courtesy of Flickr user Cea

Data access• How will you manage access and

security?

• Copyright and Intellectual Property Rights• Limitations on access• Access criteria• Who is in control

Data sharing and reuse• How will you share the data?

• Any sharing requirements• Audience for reuse• When will you publish• Where will you publish

Image: http://en.wikipedia.org/wiki/Open_science

Data preservation and archiving

• Which data should be preserved, and/or shared?

• Selection based on:• What has to be kept e.g. data underlying

publications

• What can’t be recreated e.g. environmental recordings

• What is potentially useful to others

• …..

Benefits of sharing data• Why should you consider sharing

research data that you collect or create in the course of your research?

• Validation of research• Making publicly funded research

available publicly • More citations

How to start?• Download our template

• Contact us for advise and support• Watch our short video:

https://www.youtube.com/watch?v=gYDb-GP1CA4

http://datacentrum.3tu.nl/en/what-we-offer/data-management-plan/