Research Data Management for librarians

Data Management
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? 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 &
 Ethics and Intellectual Property
(highlight any restrictions on data sharing e.g. embargoes,
 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
Help from the DCC
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:
Exercise: My DMP - a satire
 Read through the satirical DMP
 What advice would you give to the researcher who wrote
 You have 20 minutes
My Data Management Plan – a satire, Dr C. Titus Brown
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
Avoid duplication
Scientific integrity
More collaboration
Better research
Increased citation
9-30% increase shown in
(Piwowar H. and Vision T.J 2013 ,
Public expectations
Government agenda
RCUK Data Policy
UKRIO Code of Practice for
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
Balance data protection with data sharing
 Informed consent – cover current and future use
 Confidentiality – is anonymisation appropriate?
 Access control – who, what, when?
 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:
Open, documented standard
Standard representation (ASCII, Unicode)
Avoid for data sharing
Tabular data
CSV, TSV, SPSS portable
Plain text, HTML, RTF
PDF/A only if layout matters
Container: MP4, Ogg
Codec: Theora, Dirac, FLAC
Structured data
Further examples:
How to share research data
 Use appropriate repositories and data catalogues
 Jisc/DCC research data registry (coming soon!)
 License the data so it is clear how it can be reused
 Make sure it’s clear how to cite the data
 Consider publishing a data paper based on a DMP
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

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