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Presentation about data sharing and research data management for staff and students of Edinburgh College of Art given by Pauline Ward, Data Library Assistant.
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Publishing your work with
DataShare
and free online training
in data management with
MANTRA
Pauline Ward
Data Library Assistant
What is DataShare?
What kind of material can be
stored in DataShare? Anything that can go in an electronic file e.g.
• Photos (born digital or scanned)
• Sketchbooks
• Other image files (raster, vector…)
• Interviews (audio, video and/or text files)
• Documentation (inc articles/citations)
• Numeric data, spreadsheets… etc
Benefits of publishing your work
in DataShare • Preservation for your own future use
By preparing and documenting your material
for sharing with others, you will benefit by
being better able to identify, retrieve, and
understand it yourself after you have lost
familiarity with it.
Benefits of publishing your work
in DataShare • Preservation for your own future use
The University of Edinburgh’s Data Library
curators will work to preserve your files
indefinitely.
Benefits of publishing your work
in DataShare • Discoverability
DataShare provides a persistent identifier
and web address, so that your work can
be formally cited, and can easily be shared
on social media.
Benefits of publishing your work
in DataShare • Discoverability
All the descriptive text you add to your
DataShare entry is indexed by Google and
other search engines to maximise
discoverability.
Benefits of publishing your work
in DataShare • Impact
Others who re-use your work and cite it in
their own research help to raise interest in
your research and increase your impact
within your field and beyond.
Benefits of publishing your work
in DataShare • Innovation & Collaboration
Data created for one research purpose may
be re-purposed / re-interpreted for future
research. Data sharing across borders and
disciplines can promote innovation by
potential new collaborators.
Benefits of publishing your work
in DataShare • Funder requirements
Many funding bodies, including all the
Research Councils, now have policies
requiring research data to be shared. The
aim is to avoid duplication and to maximise
the benefit to society.
Take-home message:
Publishing your work in DataShare
will allow more people to enjoy it
and learn from it.
Copyright
• Think carefully about the copyright
associated with any files you might want to
include in a deposit.
Copyright
• You can check a box during the deposit
process to add an Open Data Commons
Attribution licence to your dataset (ODC-
By).
• Or you can not include any rights
statement.
• Or you can include your own statement
about rights.
Copyright
Copyright
• Information about copyright and Creative
Commons licenses for sharing data can be
found in MANTRA.
Links
• DataShare:
datashare.is.ed.ac.uk
• MANTRA:
datalib.edina.ac.uk/mantra
• Data Library team:
www.ed.ac.uk/is/data-management
