Only as good as our sources
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Transcript of Only as good as our sources
Only as good as our sourcesMaking the most of data
School Library Association of Victoria Conference
August 2017
Pru Mitchell
data literacy - more than numbers
Census data
Wikicite skills I am a regular Wikipedia contributor
I have contributed data, data models, or new property proposals to Wikidata
I am a regular contributor to other Wikimedia projects
I write code and web applications
I have experience with SPARQL
I have experience writing bots / automated agents
I have experience writing text and markup parsers
I have worked with tools and applications for citations
I have written tools to extract or analyze citations
I have translated technical documentation
I have experience visualizing data
I have experience with bibliographic / citation standards and data models
I work for an organization that will directly benefit from these efforts
Citing sources in Wikipedia• Every fact has an inline citation (superscript)
• Every citation has a full reference (footnote)
https://en.wikipedia.org/wiki/Wikipedia:Citing_sources
"We are only as good as our sources.
If they are wrong, we are wrong.“
Goldstein, T. (2007). Journalism and truth: strange bedfellows.
Northwestern University Press, Evanston, Ill, p. 59
attributed to New York Times reporter Judith Miller in 2003
Taraborelli, D. (2017).
Wikicite: the road ahead
Ford, H. (2017). The social
life of (Wikipedia) sources.
By Iwasaki,Hikaru at War Relocation Authority.
Department of Interior - National Archives ARC Record
Group:210, Public Domain,
https://commons.wikimedia.org/w/index.php?curid=20
17956
Course: Using and interpreting dataUsing and interpreting data in schools
Online: seven online modules (topics)
Course duration: 20 hours over approximately 10 weeks (one
term)
For teachers and school leaders who wish to build solid shared
understandings about the kinds of data used in schools, the
different ways in which data can be represented and what they
can tell teachers about student learning.
Library data
What data do you use?
What data could you use?
What data could you share?
What data would you like to
have?
Data governance
1. No-harm rule
2. Honesty & transparency
3. Fairness
4. Choice
5. Accuracy and access
6. Accountability
7. Stewardship
8. Security
9. Enforcement
Data Governance Australia
https://commons.wikimedia.org/wiki/Category:FAIR_data#/me
dia/File:FAIR_data_principles.jpg
By SangyaPundir - Own work, CC BY-SA 4.0,
https://commons.wikimedia.org/w/index.php?curid=53414062