Slides for presentation and live demo to School of Philosophy, Psychology and Language Sciences on the benefits of learning about good practice in research data management with MANTRA, and sharing data via DataShare.

1. Pa u l i n e Wa rd
D a ta L i b ra r y A s s i sta nt
d a ta l i b @ e d . a c . u k
Free online training in data management with
MANTRA,
and publishing your work with DataShare
23 April 2015

2. What is MANTRA?

3. What is DataShare?

7. What kind of material can be shared
through DataShare?
Anything that can go in an electronic file e.g.
 Interviews (audio, video and/or text files)
 Documentation (inc articles/citations)
 Numeric data, spreadsheets etc
 Photos (born digital or scanned)

8. Benefits of publishing your data in
DataShare
 Preservation for your own future use
By preparing and documenting your data 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.

9. Benefits of publishing your data in
DataShare
 Preservation for your own future use
The University of Edinburgh’s Data Library curators will
work to preserve your data indefinitely.

10. Benefits of publishing your data in
DataShare
 Discoverability
All the descriptive text you add to your DataShare
entry is indexed by Google and other search engines
to maximise discoverability.

11. Benefits of publishing your data in
DataShare
 Impact
All the descriptive text you add to your DataShare
entry is indexed by Google and other search engines
to maximise discoverability.

12. Benefits of publishing your data in
DataShare
 Impact
Others who re-use your data and cite it in their own
research help to raise interest in your research and
increase your impact within your field and beyond.

13. Take-home message:
Publishing your work in DataShare
will allow more people to enjoy it
and learn from it.

14. Useful links
 MANTRA:
datalib.edina.ac.uk/mantra
 DataShare:
datashare.is.ed.ac.uk
 Data Library team:
www.ed.ac.uk/is/data-library
datalib@ed.ac.uk

15. What questions do you
have?
Please give us feedback:
datalib@ed.ac.uk