These slides were presented during a workshop on Research Data Management, given at the University of Oslo, Department of Geosciences on December 04, 2017

1. Managing and Sharing Research Data
data (scrabble), CC BY-SA 2.0 (Flickr)

2. Edina Pozer Bue
Adviser
Science Library
Margaret Fotland
Adviser
Education and
Research
Administration
Office
Michel Heeremans
Senior engineer
Department of
Geosciences
Elin Stangeland
Adviser
Digital Services
University Library
Who are we

3. Topics
• Sharing research data - What's in it for me?
• Research Data Management - Things to think about when
working with digital data
• Sharing Research Data: Funder regulations – What is
required?
• Data Management Plans - What are these and how to use
them?

4. Sharing
research data
…there are lots of
regulations but….

5. Group Discussion
Discuss what would be
your motivation to
publicly share your
research data

6. Data Sharing and Management Snafu in 3 Short Acts
av NYU Health Sciences Library

7. Sharing Research Data
• Verification of your results
• Easier to start collaboration
• Increase impact / citation
• Increase online presence

8. Sharing Research Data
Verification of your results
http://www.ub.uio.no/
heeremans paleostress

9. Sharing Research Data
Increase your impact
Smith, W. H. F., and D. T. Sandwell, Global seafloor topography from satellite altimetry and
ship depth soundings, Science, v. 277, p. 1957-1962, 26 Sept., 1997

10. Sharing Research Data
Increase online presence
Exercise

11. Research Data Archives
• NSD – Norsk senter for
forskningsdata
– http://www.nsd.uib.no/
• Uninett Sigma2 – Norstore
Data Archive
– https://archive.norstore.no/
• UiT – Open Research Data
– https://dataverse.no/datavers
e/uit
Exercise
Static vs Dynamic archives

12. Licensing

13. Licensing
• Different license types
• Different «layers» in CC
licenses
• The license chooser

14. https://twitter.com/OA_RHUL/status/937341663793446917

15. Should I share any
kind of data?
Discuss with your
neighbour if there are
restrictions for data
sharing
UiO Open
UiO Limited - Weak
UiO Limited - Medium
UiO Limited - Strong
Source: IT-sikkerhetshåndbok

16. Policy for IPR at UiO
• Patentable inventions
• Non-patentable inventions and other solutions, principles, know-
how including e.g. trade secrets, technical, scientific and
commercial information and business concepts, hereafter referred
to as "non-patentable technology"
• Databases, which group together a large volume of data, or which
are the result of a significant investment
• Any tangible product (organic, inorganic and biological matter),
including substances, organisms and crops and also materials –
hereafter referred to as physical objects
• Software
These categories of results are all covered by the
University of Oslo's IPR policy and may be acquired
from the employees by virtue of their employment and in
accordance with the employment contracts.

17. FAIR principles for scientific data

18. To be Findable:
F1. (meta)data are assigned a
globally unique and persistent
identifier
F2. data are described with rich
metadata (defined by R1 below)
F3. metadata clearly and
explicitly include the identifier of
the data it describes
F4. (meta)data are registered or
indexed in a searchable
resource
To be Accessible:
A1. (meta)data are retrievable
by their identifier using a
standardized communications
protocol
A1.1 the protocol is open, free,
and universally implementable
A1.2 the protocol allows for an
authentication and authorization
procedure, where necessary
A2. metadata are accessible,
even when the data are no
longer available

19. To be Interoperable:
I1. (meta)data use a formal,
accessible, shared, and broadly
applicable language for
knowledge representation
I2. (meta)data use vocabularies
that follow FAIR principles
I3. (meta)data include qualified
references to other (meta)data
To be Reusable:
R1. meta(data) are richly
described with a plurality of
accurate and relevant attributes
R1.1 (meta)data are released
with a clear and accessible data
usage license
R1.2 (meta)data are associated
with detailed provenance
R1.3. (meta)data meet domain-
relevant community standards

20. Research Data Management
Storage
Organizing
Preservation
Documenting
Sharing
Choosing
technology
Versioning
Structuring
Backing up
Curation
Security
Slide adapted from Introduction to Research Data Management -
2017-02-15 - MPLS Division, University of Oxford
Choosing
formats

21. Noble WS (2009) A Quick Guide to Organizing Computational Biology Projects. PLoS Comput Biol 5(7): e1000424.
doi:10.1371/journal.pcbi.1000424
http://journals.plos.org/ploscompbiol/article?id=info:doi/10.1371/journal.pcbi.1000424
msms
doc
ms-analysis.html
data src
makefile
ms-analysis.c
bin
parse-sqt.py
ms-analysis
results
notebook.html
paper
makefile
msms.tex
msms.pdf
2009-01-14 2009-01-15
runall
summarize
2009-01-23
runall
yeast
README
yeast.sqt
yeast.ms2
worm
README
worm.sqt
worm.ms2
split1 split2 split3

22. File naming conventions
1. Consider how you want to retrieve
your files
2. Use relevant components in your
filename to provide description
and content
3. Keep the filename a reasonable
length
4. Avoid special characters
5. Document and share your
convention
(Image source: http://xkcd.com/1459/)
Source

23. File formats
https://xkcd.com/1683/

24. Version control

26. Metadata is data describing data
Divided into Discovery and Use
▪ …it represents a documented and ordered summary of
information that describes the data
▪ …it provides the Who, What, When, Where and Why
information for the data.
▪ …it includes Ownership and Contact details and
Access and Use conditions.
▪ …it should follow international standards and be
machine readable

28. http://blogs.ch.cam.ac.uk/pmr/2011/08/0
1/why-you-need-a-data-management-
plan
https://www.flickr.com/photos/alast
air-dunning/8042902341/
Data Storage

29. ?

30. Collaboration tools
UiO Open
UiO Limited - Weak
UiO Limited - Medium
UiO Limited - Strong
Source: IT-sikkerhetshåndbok

31. Open Science community

32. Reference
• How to effectively engage researchers with data
management by Teperek, Marta; Dunning, Alastair, October
2, 2017. DOI10.5281/zenodo.997573