DataShare and MANTRA talk by P Ward to ECA 1oct2014

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

datalib@ed.ac.uk