Slides presented during the "Open Access Research Data Sharing Requirements: Are you ready?” on 27 Oct 2016 @ NTU.
Questions and comments from the participants have been posted on Scholarly Communication Blog (https://blogs.ntu.edu.sg/lib-scholarlycomm/?p=18865).
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SlidesforOAResearchDataSharingForum _20161027
1. OPEN ACCESS RESEARCH
DATA SHARING
REQUIREMENTS:
Are you ready?
• Go to ‘www.sli.do’ or ‘app.sli.do’
• Enter ‘3632’ for event number
• Post/vote for questions
• Participate in polls
A discussion forum facilitated by GOH Su Nee
Office of Information, Knowledge and Library Services
Please note that photos of you may be taken during
the event for publicity and marketing purposes.
4. What are NTU’s requirements for
“Open Access Research Data
Sharing”?
NTU platform or a recognised open
access data repository
No later than publication of the article
5. Is there a specific timeline for
NTU to implement changes to
data sharing policy and
infrastructure?
14 Apr 2016 Early 2017
NTU Research Data Policy
- Data sharing
- Data management plan
NTU Open Access
Research Data Repository
8. What are the benefits of data
sharing?
ENQUIRY
Icon vector
designed by Freepik
Nuvola SVG icons by David
Vignoni in Wikimedia
DEBATE
By Freepik
INNOVATION
By Freepik
COLLABORATIONS
EDUCATION
Reference: UK Data Archive (2002-2016). Why share data? http://www.data-
archive.ac.uk/create-manage/planning-for-sharing/why-share-data
10. How & where to share data?
Institutional
repositories
Generalist
repositories
Subject
repositories
11. How & where to share data?
■ Data journals eg.:
– Scientific Data (Nature)
– Biodiversity Data Journal
– GeoScience Data Journal
– Data in Brief (Elsevier)
– Journal of Open Archaeology Data
– Open Health Data
– Earth System Science Data
– Journal of Open Psychology
– Journal of Physical and Chemical Research Data
– Journal of Open Research Software
12.
13.
14.
15.
16. Do I need to share all my data?
■ NTU Research Data Policy: The FINAL
RESEARCH DATA from projects carried out at
NTU shall be made available for sharing (via the
NTU Data Repository) unless there are prior
formal agreements with external collaborators
and parties on non disclosure or proprietary use
of the data.
17. “What’s the
difference
between
working data
and final data?”
Working data:
• data that are currently being
examined and analysed
• may change over time as they
are being reviewed, refined,
revised, processed or added to
help the researcher find
answers to research questions
Final data:
• exists during last stage in the
data lifecycle where there’s no
more re-working and
manipulation of data
• necessary to document, support
and validate research findings
18. I have sensitive data. So, can I
be exempted from data sharing?
■ Sensitive data are data that can be used to IDENTIFY
AN INDIVIDUAL, SPECIES, OBJECT, OR LOCATION that
introduces a RISK OF DISCRIMINATION, HARM, OR
UNWANTED ATTENTION.
Source:
Australian National Data Services (2016). Sharing
sensitive data. CC-BY 3.0 Australia license. http://www.ands.org.au/working-with-data/enabling-
data-reuse/sharing-sensitive-data . Accessed 25 Oct 2016.
19. Publishing and Sharing
Sensitive Data
Reference:
Australian National Data Services (2016). Publishing and sharing
sensitive data. CC-BY 3.0 Australia license. http://www.ands.org.au/__data/assets/pdf_file/0010/385309/sensitive-
decision-tree.pdf . Accessed 25 Oct 2016.
Existing
or new
Right to
publish
Make
non-
sensitive
Consent License Metadata
20. What is CC:BY:NC?
■ Recommended by NTU Research Data Policy
■ A Creative Commons license to share,
redistribute and adapt the material based on:
ACKNOWLEDGE/GIVE CREDIT/ATTRIBUTE
NON-COMMERCIAL
31. Da Silva, Mayesse; Monserrate, Fredy; Valencia, Jefferson; Quintero,
Marcela; Jarvis, Andy, 2016, "Digital mapping of soil properties in
the West of Honduras, Central America.",
doi:10.7910/DVN/QVXA7U, Harvard Dataverse, V2
Examples:
JASI PHINEAS; DODZO MUNYARADZI K; TARUBEREKERA NOAH,
2013, "Zimbabwe (2013): Qualitative Segmentation Study on
understanding the motivators and barriers to accessing services
among women aged 18-49 years who have experienced violence in
Zimbabwe", doi:10.7910/DVN1/22666, Harvard Dataverse, V5
Buckner, Randy L.; Roffman, Joshua L.; Smoller, Jordan W., 2014,
"Brain Genomics Superstruct Project (GSP)",
doi:10.7910/DVN/25833, Harvard Dataverse, V10
32. TELL US: What challenges
would you foresee in open
access research data sharing?
■ Tell us at ‘www.sli.do’ or ‘app.sli.do’
■ Event number: 3632
■ Select “Polls”
33.
34. Who owns my data? Myself,
publisher, grant dispenser or
my institution?
■ NTU Research Data Policy 5.1: The UNIVERSITY owns all
research data produced by research projects conducted
at or under the auspices of NTU regardless of funding
source, UNLESS SPECIFIC TERMS OF SPONSORSHIP,
OTHER AGREEMENTS OR UNIVERSITY POLICY
SUPERSEDE THESE RIGHTS.
■ In joint projects with other external parties, there shall be
CLEAR AGREEMENT for NTU to jointly hold all rights and
ownership of research data arising from the project.
■ The UNIVERSITY ASSIGNS AUTOMATIC RIGHTS TO THE PI
AND HIS/HER DESIGNATED RESEARCHERS TO USE AND
PUBLISH ALL RESEARCH DATA arising from their project
for non commercial purposes only.
35. What resources would I need
for data sharing?
Data
creation
Data
processing
Data
analysis
Data
preservation
Data
access
Data
reuse
MANPOWER
EQUIPMENT
SOFTWARE
Research Data Lifecycle
36. TELL US: What would make
data sharing easier?
■ Tell us at ‘www.sli.do’ or ‘app.sli.do’
■ Event number: 3632
■ Select “Polls”