Webinar - top 10 fair data global sprint. Slides from the kickoff webinar. The Global Sprint will be happening 29-30 November 2018

1. Ready, Set, Go!
Join the Top 10 FAIR Data Things Global Sprint!
Webinar - 20 November 2018
Sprint - 29-30 November 2018

2. Today’s webinar
1. The Top 10 FAIR Data Global Sprint: who, what, why - Natasha Simons, ARDC
2. Brief overview of the FAIR Data Principles - Keith Russell, ARDC
3. The Top 10 FAIR Data Global Sprint: how - Chris Erdmann, Library Carpentry
4. Where do I start? - Liz Stokes, ARDC
5. Questions
Link to this slide deck: https://tinyurl.com/y8qtcol3

3. Top 10 FAIR Data Global Sprint
Who, what and why?

4. Top 10 FAIR Data Global Sprint 29-30 November 2018
Organised by:
Library Carpentry, Australian Research Data Commons and the Research
Data Alliance Libraries for Research Data Interest Group
In collaboration with
FOSTER Open Science, OpenAire, RDA Europe, Data Management Training
Clearinghouse, California Digital Library, Dryad, AARNet, DANS, and Centre for
Digital Scholarship at Leiden University Library.
See: https://librarycarpentry.org/blog/2018/10/top-ten-fair-announcement/

5. Global sprint - what and why?
What is the purpose of the Sprint?
To create a wide range of Top 10 FAIR Data Things by research disciplines and/or themes.
What is a Top 10 FAIR Data Things resource?
"Things" is a neat concept for creating packaged content on any topic. Each “Thing” is a
self-directed learning activity for anybody who wants to know more about FAIR research
data. The Top 10 FAIR Data Things resources we create during the Sprint can be used by
the research community to understand FAIR in different discipline and theme contexts as
well as providing some initial steps to consider.

6. Example
https://www.ands.org.au/working-with-data/skills/23-research-data-t
hings/10-medical-and-health-things

7. Primer (instructions)
Use this primer to help prepare and guide you through the creation of your Top
10 FAIR Data resource for a research discipline:
https://tinyurl.com/ybtfxpet

8. Top 10 FAIR Data Global Sprint
What are the FAIR Data Principles?

9. F.A.I.R. Data Principles
• Drafted in a workshop in 2015 and in Nature article
• Received international recognition
• Making data usable by humans and machines
• Technology agnostic
• Both the data and the metadata
• Discipline independent…
Image by Sanja Pundir CC-BY-SA

10. … but what does it mean in a
discipline?
https://commons.wikimedia.org/wiki/File:Headscratcher.png

11. Findable
F1. (meta)data are assigned a globally unique and eternally
persistent identifier.
F2. data are described with rich metadata.
F3. (meta)data are registered or indexed in a searchable
resource.
F4. metadata specify the data identifier.
● What Persistent identifier is used?
● What discovery metadata is
common and relevant?
● What discipline specific
repositories and registries are
there out there?

12. 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.
● How Open is data in the discipline, are
there considerations and protocols for
sensitive data?
● Are there platforms and solutions to
provide access to sensitive data?
● What data services are used to deliver
the data?

13. Interoperable
I1. (meta)data use a formal,
accessible, shared, and broadly
applicable language for knowledge
representation.
I2. (meta)data
use vocabularies (and ontologies)
that follow FAIR principles.
I3. (meta)data include qualified
references to other (meta)data.
● Are there standard file formats?
● Are there standard vocabularies and
ontologies for data and metadata? Where
can they be found?
● Are there identifiers for related
information (projects, samples, authors)

14. Reusable
R1. meta(data) have 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
their provenance.
R1.3. (meta)data meet domain-relevant
community standards.
● Is there a licence standard?
● Is there a discipline specific
approach around
provenance?
● Are there community
standards for the data and
metadata?

15. Discipline context
● Are there relevant policies from funders, journals, associations,
societies, etc. in the discipline?
● Are there standard approaches, templates for Data
Management Plans, etc.

16. Top 10 FAIR Data Global Sprint
How will the Sprint work?

17. Monash Zoom
https://monash.zoom.us/j/944903353
We have check-ins everyone hour, on the top of the hour, where you can discuss what you
are working on, ask questions and get feedback, and/or get a summary of what others are
working on.
Top10FAIR Gitter
https://gitter.im/LibraryCarpentry/Top10FAIR
We have a chat room where you can discuss your work outside of the check-ins above. This
can a quicker way to get an answer. Use @ to chat with someone specifically.
Registration & Coordination
https://drive.google.com/drive/folders/1CYNd_kFnf954aKYGiph_j8gZnqBBi_9P
This folder contains all the relevant Sprint material. Register your discipline/theme thing
(https://docs.google.com/spreadsheets/d/1QQ7Mpxp5ORUE6wheWaC0HXXfiD_G54vVkW1
DMMtUM6M/edit) and create your collaborative document in the group folder
(https://drive.google.com/drive/folders/1y67-PRvyaOgZF9DGxK3A8ut6kJAPQ60S).

18. Code of Conduct
https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html
We will be using The Carpentries Code of Conduct. This is a welcoming place. Please be
kind and professional.
#Top10FAIR Tweets
https://twitter.com/LibCarpentry/status/1054420346055593984
Collaborators and partners are listed along with the hashtag for the event #Top10FAIR.
Leiden University now a partner. Check @ands_nectar_rds and @LibCarpentry to see if
more partners/collaborators have joined. Make sure you use the hashtag though!
Top 10 FAIR Data Things GitHub Repository
https://github.com/LibraryCarpentry
We will collect and post the Top 10 FAIR Data Things Resources in a Library Carpentry
repository under the same name. This will allow for reuse and further contributions from the
wider research & library communities.

19. Top 10 FAIR Data Global Sprint
Where to start?

20. Where to start?
Photo by David Marcu on Unsplash

21. What does FAIR look like for you?
Photo by Eric Muhr on UnsplashPhoto by Anthony DELANOIX on Unsplash

22. What does FAIR look like for you?
● Discipline focussed resources
● Repositories that are really really ridiculously good looking
● Useful metadata standards
● Demystifying identifiers
● Examples of FAIR in practice
● Validate a vocabulary!

23. Sprint “driver reviver” stations
Drop in places at various locations where you can go at any
(daylight!) time during the Sprint to:
● Catch up with others doing the Sprint
● Work on a Top 10 FAIR Data resource
● Eat cake!
The Australian stations will be listed shortly on the ARDC website:
https://ardc.edu.au/planning/events/top-10-fair-data-things-global-sprint
If you want to volunteer a station location, get in touch with us!
Contact: liz.stokes@ardc.edu.au or natasha.simons@ardc.edu.au
Images: roamthegnome, pumpkin-machine, gify-cat

24. Disambiguation
“Fair Data is a certification launching in Australia in November
2018 by the Australian Market & Social Research Society
(AMSRS) to show which companies handle their customer’s
personal data fairly.”
Just to be clear,
fairdata.com.au is not us.
Even though they’ve got 10
things in a list and have
registered a domain name.

25. Join our next webinar on November 27
Make Data Count!
Hear from Daniella Lowenberg (California Digital Library) and Patricia Cruse
(DataCite) about how you can capture and display data usage metrics in your repository
More information and registration at: https://www.ands-nectar-rds.org.au/events