datashare - pauline ward to university of edinburgh school of chemistry - 3 feb 2015
TRANSCRIPT
Publishing your work with
DataShare
Pauline Ward
Data Library Assistant
What is DataShare?
When should I publish in
DataShare? Do publish in your discipline’s public
repository if appropriate.
Publishing in DataShare does not mean you
cannot share the material elsewhere too.
What kind of material can be
stored in DataShare? Anything that can go in an electronic file e.g.
• Numeric data, spreadsheets… etc
• Images (graphs, models, output from lab
equipment)
• Documentation (inc Word documents, .txt
readme file, pdf articles, citations…)
• Lab Book (scanned images)
• Electronic Lab Book via RSpace
What kind of material can be
stored in DataShare? • Electronic Lab Book via RSpace
A small number of research groups at the
university are piloting RSpace and using it
to deposit directly into DataShare via
SWORD. For more information see
datablog.is.ed.ac.uk/2014/04/15/using-an-
electronic-lab-notebook-to-deposit-data .
Benefits of publishing your work
in DataShare • Preservation for your own future use
By preparing and documenting your
research results 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 persistent identifiers
(DOI and handle) 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, and the content of any .txt
or Word file, is indexed by Google, Google
Scholar, Thomson Reuters DataCite 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 • Peer Review
The appearance of Data Journals* means
you can now have a dataset peer reviewed
even when it is not an integral part of a
paper.
Benefits of publishing your work
in DataShare • Dataset Peer Review *e.g.
• Journal of Chemical and Engineering Data
(pubs.acs.org/journal/jceaax)
• Journal of Physical and Chemical Reference Data
(scitation.aip.org/content/aip/journal/jpcrd/browse)
• F1000Research (f1000research.com)
• Dataset Papers In Science (Hindawi Publishing,
www.hindawi.com/journals/dpis)
• Scientific Data (Nature Publishing Group, currently focused on
datasets from life, biomedical and environmental science
communities www.nature.com/scientificdata )
Benefits of publishing your work
in DataShare • Peer Review
Peerage of Science at
www.peerageofscience.org offers a free
internet-based peer review service.
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.
Publishing your work in
DataShare is quick and easy • Web interface for depositing files
• Team of curators (the Data Library
team) - here to help!
• Very numerous files – talk to us (we
have batch import and SWORD
options)
Publishing your work in
DataShare is quick and easy • File size
– Web interface for depositing files up to
5Gb (2Gb in Internet Explorer)
– Files larger than 5Gb: talk to us (we have
batch import and SWORD options)
Publishing your work in
DataShare is quick and easy • Register
• Login
• Click on Deposit
Links
• DataShare:
datashare.is.ed.ac.uk
• Data Library team:
www.ed.ac.uk/is/data-management