DataShare - Pauline Ward to University of Edinburgh School of Chemistry - 3 feb 2015

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

[email protected]