2. Licensing data for reuse
Consider this scenario:
You’ve found a dataset you (or your client) are interested in.
You’ve downloaded it.
Excellent!
But do you know what you (or your client) can and cannot do with the data?
The answer lies in data licensing. Licensing is critical to enabling data to be
reused and cited.
Thing 9
4. Thing 9
AusGOAL (Australian Governments Open Access and Licensing Framework) is:
• An open access and licensing framework based on the international suite of
Creative Commons licences.
• Designed to help select the least restrictive licence to apply to published
datasets and other works
• A common approach to data licensing across research and government.
• Recommended licensing system for data publishing for ANDS partners. See
AusGOAL - ANDS Guide.
• Research data licensing FAQs.
Licensing data for reuse
5. Thing 9
Licensing data for reuse
RDM Toolkit
http://guides.is.
uwa.edu.au/c.
php?g=325196
&p=2633029
7. Thing 9
Software licences
• AusGOAL provides guidance on software licensing, and recommends BSD 3
Clause Licence as its most preferred open source software license. See
AusGOAL software licensing
Licensing data for reuse
15. Thing 10
Sharing Sensitive Data
Two major categories of sensitive data are:
Human data (eg health and personal data, secret or sacred practices); or
Ecological data (may place vulnerable species at risk).
Given the nature of this type of data, you might expect that it can’t be shared
and reused. But in many cases, it can be.
16. Thing 10
Sharing Sensitive Data
One example where sensitive data is shared in RDA:
Pregnancy and Lifestyle dataset
17. Thing 10
Sharing Sensitive Data
Another example where
sensitive data is shared in RDA:
1. Australian Longitudinal Study
on Women's Health
18. Thing 10
Sharing Sensitive Data
How do you share sensitive data?
1. De-identify datasets
2. Publish a description (metadata only)
3. This video…
19. Thing 10
Sharing Sensitive Data
A risky business... or is it? The benefits of publishing sensitive data in a
snapshot - Prof Michael Martin (ANU) talks about risk versus benefit of
sharing sensitive data
20. Thing 10
Sharing Sensitive Data
ANDS Guide to publishing and sharing sensitive data
Outlines best practice for the publication and sharing of sensitive research
data in the Australian context.
• confidentialising your human and sensitive ecological data
• what's legal
• what to include in a consent form requesting data publication and sharing
• sharing sensitive data that you did not collect
• making data discoverable: metadata
• conditional access to data: what is it; how do I do it?
• licensing your data
• depositing your data
• a comprehensive guide on most things you need to know about publishing
sensitive data.
22. Thing 10
Sharing Sensitive Data
Funders
Responsible sharing of sensitive data is required or encouraged by peak bodies
and leading publishers in human research. Check out:
• Section 3.2.2 of the NHMRC National Statement on Ethical Conduct in Human
Research.
• ARC Discovery Program Funding Rules - applicants must now outline plans
for the storage, access and reuse of data.
• Wellcome Trust joint statement on data sharing - to which NHMRC is a
signatory.
Publishers
• PLOS journals policy on making all data available.
• Nature publishing group journals require supporting data to be available to
editors and reviewers at the time of submission, preferrably via public
repositories.
Guidance from Funders and Publishers
23. Thing 10
Sharing Sensitive Data
Imagine you are either a researcher or a participant in a health data
survey:
Participant: what questions might you first ask the researcher about
intended sharing and reuse of the survey data?
Researcher: What responses would you need to prepare to anticipate
participants questions about publishing “their data for all the world to see”?
24. Thing 10
Sharing Sensitive Data
How we manage sensitive data through its lifecycle?
Who has a role in ensuring sensitive data is appropriately managed and
shared?
These are critical issues in ensuring sensitive data can be shared.
25. Thing 10
Sharing Sensitive Data
Guidelines for the Ethical Use of Digital
Data in Human Research
(produced by Melbourne University and
the Carlton Connect Initiative).
26. Thing 10
Sharing Sensitive Data
The UK Anonymisation Network (UKAN) has developed a one hour online
course based on the Anonymisation Decision-making Framework.
You don’t need any previous experience in data analysis to do the course.
http://theodi.github.io
/ukan-course/#0.1
27. Contacts
Contact UWA 23 Things Coordinators:
Caroline Clark
caroline.clark@uwa.edu.au
Nola Steiner
nola.steiner@uwa.edu.au
Katina Toufexis
katina.toufexis@uwa.edu.au
Editor's Notes
Understand the importance of data licensing, learn about Creative Commons and ask the hard questions!
Ross Wilkinson, Executive Director of the Australian National Data Service, discusses the importance of harmonising licensing of research data under a single licensing framework, AusGOAL
Defining permissions, terms, and conditions for reuse of data is essential so that prospective reusers know exactly what they can, and can't do when reusing data.
Lack of clarity around reuse of data can have the same result as forbidding reuse of the data.
Ross Wilkinson, Executive Director of the Australian National Data Service, discusses the importance of harmonising licensing of research data under a single licensing framework, AusGOAL
Defining permissions, terms, and conditions for reuse of data is essential so that prospective reusers know exactly what they can, and can't do when reusing data.
Lack of clarity around reuse of data can have the same result as forbidding reuse of the data.
Ross Wilkinson, Executive Director of the Australian National Data Service, discusses the importance of harmonising licensing of research data under a single licensing framework, AusGOAL
Defining permissions, terms, and conditions for reuse of data is essential so that prospective reusers know exactly what they can, and can't do when reusing data.
Lack of clarity around reuse of data can have the same result as forbidding reuse of the data.
Use calculator
Discuss how to assign a licence by simply pasting this into the document
Barrister, National Programme Director - AusGOAL
There are some great ANDS webinars on Data Licencing
Start by watching this 4.30mins video in which Dr Kevin Cullen from the University of New South Wales
explains their approach to licensing which
aims to strengthen the University’s relationship with business and industry.
Click through
Note in particular, the last dot point.
Share your thoughts about possible implications for data managers, researchers, librarians and others as we move forward with the National Science and Innovation Agenda?
Sharing sensitive data requires careful consideration, but it can be done.
shows how sensitive, de-identified data can be safely and openly shared. Click on “Go to Data Provider” to see the actual data.
The data provider here is the ADA
Australian Data Archive
The Australian Longitudinal Study on Women's Health (ALSWH) is a collaborative project of The University of Newcastle and The University of Queensland and has been funded by the Australian Government for almost two decades. Since 1995 over 50,000 women have been surveyed, most choosing to remain part of the study for many years. ALSWH collects information about changes in the mental, physical, and social health of everyday women and their families over time. It also gathers data about life events, employment, and health service use. This level of detail and longevity is rare and highly valuable on an international scale. ALSWH has enabled data users to produce a rich and accurate portrait of women's health and the experiences that benefit or hinder their wellbeing.
The ALSWH has always had clear policies for maintaining the quality and security of data and enabling others to find, request and receive conditional access to the data5,6. These policies are founded on the research team's belief that this dataset is a 'public resource'. ALSWH data-sharing practices address legal and ethical considerations whilst promoting reuse, collaboration, and research integrity.
Take a closer look Data governance and custodianship on pp15-16Consider your responses to the questions on p16