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Only as good as our sources Making the most of data School Library Association of Victoria Conference August 2017 Pru Mitchell

Only as good as our sources

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Only as good as our sourcesMaking the most of data

School Library Association of Victoria Conference

August 2017

Pru Mitchell

metadata

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

Learning about learning data

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 collection data

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 management

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