[1.5, 3.3] data management plan - madeleine de smaele [3tu.datacentrum symposium 2014, delft;...
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Data management planning
3TU.Datacentrum Symposium on Research Data Management
TU Delft, May 26th, 2014
Madeleine de Smaele - m.m.e.desmaele@tudelft.nl
Good data management is all about making informed decisions
Why manage research data?
• It saves time
• Simplifies your life
• Increases research efficiency
• Ensures research integrity
• Makes it easier to share
• It’s required
What is involved in RDM?
• Data Management Planning
• Creating data
• Documenting data
• Accessing / using data
• Storage and backup
• Preserving data
• Sharing data
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!
What do funders want?
• NWO
• Horizon 2020
• ZonMw
DMP template – how it works
Six common themes
1. Data collection
2. Data storage and back-up
3. Data documentation
4. Data access
5. Data sharing and reuse
6. 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 documentation
How will your data be documented to help future users to understand and reuse it?
• Metadata
• Methods
• File naming
• Identifiers
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:
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