Slides from Friday 3rd August - Data in the Scholarly Communications Life Cycle Course which is part of the FORCE11 Scholarly Communications Institute. Presenter - Natasha Simons

1. Natasha Simons
#AM6 Data in the Scholarly
Communications Lifecycle
FORCE11 Scholarly Communications Institute
Monday 30 July – Friday 3 August 2018
San Diego, USA

2. Friday 3 August
Today’s course outline
• Persistent identifiers (con’t from yesterday)
• Citing research data, software and related materials
• “Hot topics” from the class
• Your action plan?
Link to slides: https://tinyurl.com/y97ayhgn

3. What do you think this is?

4. Metadata 2020
http://www.metadata2020.org/

5. Persistent Identifiers (PIDs)

6. The problem...

7. What are Persistent Identifiers?
A persistent identifier (PiD) is a long–lasting reference to a resource
Usually has two parts:
A unique identifier (ensures the provenance of a digital resource)
Location for the resource over time (ensures that the identifier resolves to
the correct location
https://project-thor.readme.io/docs/introduction-to-persistent-identifiers

8. Use PiDs to connect, link, cite research objects
Researchers Publications
Data
Software
Methods
Equipment
???
Why use PiDs?
PiDs play a key role in the discoverability,
accessibility and citability of research.

9. Why are there so many PiDs?
Marked by differences in:
• Purpose
• Scope
• Underlying technology
• Governance and social infrastructure
• Metadata collected
• Cost
• Extent of use

10. Example: The Handle System
• Run by CNRI
• Robust system
• Widely used in publication repositories
• Used to identify research datasets

11. How do Handles work?
Example: http://hdl.handle.net/11343/130078
http://handle.net = resolver service
11343 = prefix identifying assigning body (Uni Melb)
130078 = suffix identifying resource (Melb Uni report)

12. Example: Digital Object
Identifiers (DOIs)
• Run by international DOI Foundation
• Robust – built on the Handle System
• Origins in publishing industry
• Used to identify and cite publications and
research datasets
• The most widely used PiD for research data

13. Why use DOIs?

14. How do DOIs work?
This is an example from Griffith University:
http://doi.org = resolver service
/
10.4225 = prefix identifying the assigning body (ANDS)
/
01 = Suffix 1 – the institution identifier (Griffith University)
/
4F3DB08617645 = Suffix 2 – the resource item or collection identifier (a dataset held in the Griffith
data repository)

15. More about DOIs
• Metadata required! Example: DataCite Metadata Schema
https://schema.datacite.org/
• DOI search services e.g. DataCite https://search.datacite.org/
• Cost involved but some agencies like ARDC offer a free service
• To get a DOI through the ARDC service: m2m or manual minting

16. https://doi.org/10.5061/dryad.60bn81v

18. Photo by Amaury Salas on Unsplash
Find information about this DOI:
10.4225/08/5858219e78f9a
• What type of research output does this DOI point to?
• What is the organisation associated with this DOI?
• Can you get to the full text from the DOI?
Exercise: DOIs

19. Name problems!

20. Example: ORCIDs
• Run by ORCID organisation
• Identifier for people (researchers)
• Links people with their research ‘works’
• Widely used internationally
• (Australian) research sector-wide endorsement
• Embedded in scholarly workflows

21. How do ORCIDs work?
https://orcid.org/0000-0003-0635-1998
• 16 digit identifier based on ISNI block
• Prototype: Thomson Reuters ResearcherID
• Most metadata fields are optional
• Free for researchers, fee for members
(organisations)
• Public API (free) and premium API
(members)
• Transparent governance and development
process

22. Why use ORCIDs?

23. IGSN – Sample identifier
https://www.youtube.com/user/andsdata/playlists
http://www.igsn.org/
http://www.geosamples.org/igsnabout
http://igsn.github.io/

24. The power of linking PiDs
• International efforts to link ORCIDs (researchers)
with DOIs (publications and data)
• The Scholix initiative:
• a global framework to improve the links between
publications and data
• beneficial for all, especially publishers (display
this link in journals) and repositories (link back to
data held in repositories)

25. Which PiD to choose?
Evaluate the PiD service:
• Purpose
• Scope
• Underlying technology
• Governance and social infrastructure
• Metadata collected
• Cost
• Extent of use
• Trustworthiness?
Choose the best fit PiD for the type of resource and it’s point in the research
lifecycle
Better to choose one than none!

26. Cool and groovy international PiD
community

27. Citing research data

28. What is data citation?

29. Why cite data?
There is no change in
the high number of
researchers valuing a
data citation the same
as an article -
from 78% in 2016
to 77% in 2017
Digital Science Report:
The State of Open Data
2017, p.8

30. Some useful data citation tools
 Data Citation Formatter: https://citation.crosscite.org/
 DataCite search: https://search.datacite.org/
 DataCite statistics: https://stats.datacite.org/

31. Exercise: explore data citation styles
Your task:
1. Go to the Data Citation Formatter tool: https://citation.crosscite.org/
2. Enter this DOI: 10.7910/DVN/22893
3. Try a few citation styles including the Data Science Journal and notice
the differences
4. Now go to DataCite search:
5. Enter the same DOI
6. Click “cite” and browse the different styles

32. My data citation story…

33. Supporting data citation
• In repositories…
• For publishers e.g. AGU FAIR project and RDA Data Policy Standardisation IG
work)
• For authors e.g. AGU FAIR project author guidance (see Statement of
Commitment from earlier slides)

34. Make data count - project
https://makedatacount.org/
DataCite blog post: https://blog.datacite.org/time-to-make-your-data-count/
and https://blog.datacite.org/citation-analysis-scholix-rda/

35. Exercise: Thing 7 Data Citation
Link to Thing 7: https://tinyurl.com/ycgqvx3f
Your instructions: pair up with someone and “do” Thing 7

36. Class discussion
How did you find Thing 7? What did you learn?
Photo by Amaury Salas on Unsplash

37. Citing software
https://www.force11.org/software-citation-principles
& see Dan Katz - http://danielskatz.org/ @danielskatz
& Dan’s talk at ACAT 2017 on software citation

38. Hot topics!

39. Dataverse
With Gustavo Durand https://dataverse.org/

40. Your action plan?
Photo by Jeremy Bishop on Unsplash

41. The end & thank you!
https://www.youtube.com/watch?v=iQSxuqWQ_4c

42. With the exception of third party images or where otherwise indicated, this work is licensed under the Creative
Commons 4.0 International Attribution Licence.
ANDS, Nectar and RDS are supported by the Australian Government through the National Collaborative Research
Infrastructure Strategy Program (NCRIS).
Natasha Simons
Associate Director, Skilled Workforce| Australian Research Data Commons
Industry Fellow | The University of Queensland
T: +61 7 3346 9991 | E: natasha.simons@ands.org.au | W: ands.org.au
ORCID: https://orcid.org/0000-0003-0635-1998 Tw: @n_simons
Thank you!