Research Data Management for librarians
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Transcript Research Data Management for librarians
Data Management
Planning
Data Management Planning
DMPs are written at the start of a project to define:
What data will be collected or created?
How the data will be documented and described?
Where the data will be stored?
Who will be responsible for data security and backup?
Which data will be shared and/or preserved?
How the data will be shared and with whom?
Why develop a DMP?
DMPs are often submitted with grant applications, but are
useful whenever researchers are creating data.
They can help researchers to:
Make informed decisions to anticipate & avoid problems
Avoid duplication, data loss and security breaches
Develop procedures early on for consistency
Ensure data are accurate, complete, reliable and secure
Which funders require a DMP?
www.dcc.ac.uk/resources/policy-and-legal/ overview-funders-data-policies
What do research funders want?
A brief plan submitted in grant applications, and in the
case of NERC, a more detailed plan once funded
1-3 sides of A4 as attachment or a section in Je-S form
An outline of data management and sharing plans,
justifying decisions and any limitations
Five common themes / questions
Description of data to be collected / created
(i.e. content, type, format, volume...)
Standards / methodologies for data collection &
management
Ethics and Intellectual Property
(highlight any restrictions on data sharing e.g. embargoes,
confidentiality)
Plans for data sharing and access
(i.e. how, when, to whom)
Strategy for long-term preservation
A useful framework to get started
Think about why
the questions are
being asked
Look at examples
to get an idea of
what to include
www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
Help from the DCC
https://dmponline.dcc.ac.uk
www.dcc.ac.uk/resources/how-guides/develop-data-plan
Supporting researchers with DMPs
Various types of support could be provided by Surrey:
Guidelines and templates on what to include in plans
Example answers, guidance and links to local support
A library of successful DMPs to reuse
Training courses and guidance websites
Tailored consultancy services
Online tools (e.g. customised DMPonline)
Tips to share: writing DMPs
Keep it simple, short and specific
Avoid jargon
Seek advice - consult and collaborate
Base plans on available skills and support
Make sure implementation is feasible
Justify any resources or restrictions needed
Also see: http://www.youtube.com/watch?v=7OJtiA53-Fk
Exercise: My DMP - a satire
Read through the satirical DMP
What advice would you give to the researcher who wrote
it?
You have 20 minutes
My Data Management Plan – a satire, Dr C. Titus Brown
http://ivory.idyll.org/blog/data-management.html
Data sharing
What is data sharing?
“… the practice of making data used for scholarly
research available to others.” [Wikipedia]
Who’s involved?
the data sharer
the data repository
the secondary data user
support staff!
Reasons to share data
BENEFITS
DRIVERS
Avoid duplication
Scientific integrity
More collaboration
Better research
Increased citation
9-30% increase shown in
study
(Piwowar H. and Vision T.J 2013 ,
https://peerj.com/preprints/1.pdf)
Public expectations
Government agenda
RCUK Data Policy
www.rcuk.ac.uk/research/Pages/
DataPolicy.aspx
UKRIO Code of Practice for
Research
www.ukrio.org/what-we-do/codeof-practice-for-research/
The expectation of public access
The RCUK Common Principles state that:
“Publicly funded research data are a public good,
produced in the public interest, which should be
made openly available with as few restrictions as
possible in a timely and responsible manner that
does not harm intellectual property.”
Managing restrictions on sharing
Ethics
Balance data protection with data sharing
Informed consent – cover current and future use
Confidentiality – is anonymisation appropriate?
Access control – who, what, when?
IPR
Clarify copyright before research starts
Consider licensing options e.g. Creative Commons
Select formats for data sharing
It’s better to use formats that are:
Unencrypted
Uncompressed
Non-proprietary/patent-encumbered
Open, documented standard
Standard representation (ASCII, Unicode)
Type
Recommended
Research360
Avoid for data sharing
Tabular data
CSV, TSV, SPSS portable
Excel
Text
Plain text, HTML, RTF
PDF/A only if layout matters
Word
Media
Container: MP4, Ogg
Codec: Theora, Dirac, FLAC
Quicktime
H264
Images
TIFF, JPEG2000, PNG
GIF, JPG
Structured data
XML, RDF
RDBMS
Further examples: http://www.data-archive.ac.uk/create-manage/format/formats-table
How to share research data
Use appropriate repositories and data catalogues
http://databib.org
http://www.re3data.org/
Jisc/DCC research data registry (coming soon!)
License the data so it is clear how it can be reused
www.dcc.ac.uk/resources/how-guides/license-research-data
Make sure it’s clear how to cite the data
http://www.dcc.ac.uk/resources/how-guides/cite-datasets
Consider publishing a data paper based on a DMP
http://metajnl.com/
Exercise: barriers to data sharing
List one or two of the reasons that researchers
might feel restrict their ability to share their data.
Are there any actions that could be taken to
reduce or overcome these restrictions?
You have 10 minutes
Constraints on data sharing
Possible solutions / approaches