The document outlines various data sources, methods for metadata creation, and the importance of data citation in research. It includes guidelines for collaborative exercises focused on finding, describing, and citing datasets. Additionally, it emphasizes the value of data citations similar to academic articles and references data citation policies from prominent publishers.

1. Room 400, Level 4, Building 11

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29. •Exploratory/Scoping
•Reuse/Secondary data analysis
•Can be starting point or ad hoc
•Peer review
•Reproduce/extend results
•Repurpose (e.g. for mashups, visualisations, simulations)
•Verify claims (e.g. report findings)
*Not in any order; not exhaustive!

31. •Google
•Ask a colleague
•Find link to data in a journal article
•Data journals
•Data registries e.g. re3data.org
•Open data portals e.g. data.gov
•Institutional repositories
•Data / Discipline repositories e.g. Dryad
•Project website
•Data discovery aggregators like Research Data Australia, Google Dataset
•Library catalogues, databases
*Not in any order; not exhaustive!

32. When creating metadata records, keep in mind that finding data is:
● Movable feast / changing beast
● No standard practice, universal standard or vocab
● Databases are non-exhaustive
● Methods for searching and terms driven by why people are
looking and how the data is stored

33. ● Together, we’re going to build a rainbow of discipline specific data
examples!
● Working in pairs, explore re3data (or beyond!) to find data sources that
you would recommend for any specific number of disciplines.
● For each data source:
a. find some data
b. tell us how you got there - eg google or repository
c. why it’s a good example to show someone else.

34. Here are some scenarios to start you off:
○ Showing a researcher where they might find social science data
○ Data that may not have a disciplinary “home”
○ Incredibly niche specialised scientific data (find a rabbit hole)
○ Australian geographic and/or spatialised data
○ Internet time server data
○ Geological sample data
● re3data.org
● https://researchdata.ands.org.au/
● https://www.icpsr.umich.edu/
● https://ada.edu.au/
● http://www.geosamples.org/
● https://riojournal.com/

35. CookieMonsterCupcakebyBrettJordanhttps://flic.kr/p/7ZRSzA

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37. https://bit.ly/2vMsh3M
(https://www.ands-nectar-rds.org.au/fair-tool)

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40. https://www.youtube.com/watch?v=ABF2FvSPVYE

41. Your task:
1. Work as a team at your tables
2. Take one of the CSV datasets at
3. Describe the dataset by creating a metadata record. Think
about: title, creators, date, short description and so on.
4. Bring your record to whole class discussion
Exercise time: 10 mins then whole class discussion

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44. Your task:
1. Work as a team at your tables
2. Review the record you put together for the CSV file
3. Select a metadata schema of your choice e.g. Dublin Core,
RIF-CS, others..
4. Create a new metadata record using the schema of your choice
and the values (attributes) you listed in your original CSV file
record
Exercise time: 10 mins then whole class discussion

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54. https://www.youtube.com/watch?v=gCsQM0KNXhU

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64. Why oh why should I use a DOI?

65. https://doi.org/10.5061/dryad.60bn
81v

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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?
Now search for the same DOI in DataCite search:
https://search.datacite.org/
● How do you cite it in Vancouver style?
● Who issued the DOI?
Finally, go to DataCite stats: https://stats.datacite.org/
● For the Australian National Data Service, which
organisation minted the most DOIs for 2018?

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73. https://www.youtube.com/watch?v=7Mx
EAMIhawg

75. https://aaf.edu.au/orcid/

77. http://www.geosamples.org/igsnabo
ut
https://www.ands.org.au/online-s
ervices/igsn-service

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83. 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

84. Your task:
1. Work as a team at your tables
2. Look up and read what these publishers are saying about data citation:
• Wiley’s Data Citation Policy -
https://authorservices.wiley.com/author-resources/Journal-Authors/open-
access/data-sharing-citation/index.html
• Springer Nature Research Data Policy FAQs (why and how cite data) -
https://www.springernature.com/gp/authors/research-data-policy/faqs/12
327154
3. Discuss with each other: are the policies the same? Are the citation
styles the same? Is it clear information for authors?
Exercise time: 5 mins

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Edusmartskills.com. (2018). [online] Available at: https://www.edusmartskills.com/webAssets/images/wso_img.jpg [Accessed 14 May 2018].

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$
helena.lynn@sydney.edu.au

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PROS CONS
● Self explanatory
● Easy to follow
● Time saving
● Distribute in
different ways
● Linked to further
resources
● Missing
information
● Information
overload
● May not be
search engine
optimised
● Hard to find

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113. Source:
https://www.purdue.edu/research/publications-data/infographics/
Source: https://www.ands.org.au/guides

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Source: https://visual.ly/community/infographic

116. F2F
Online
Self Help

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118. Adapted from: Fao.org. (2018). [online] Available at: http://www.fao.org/docrep/015/i2516e/i2516e.pdf [Accessed 1 May 2018].

119. ● Half day, Full day?
● Program Timings?
● Exercises/Activities?
● Content?
● Modules?
● Learning Outcomes?
● Technology?
● Learning assessment?
● How to?
● Software? ppt, piktochart?
● Process or Info sharing?
● A4, Brochure, Web?

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