The document discusses question-centric research and data foraging. It presents data foraging as an alternative to data-centric and document-centric research that involves searching for information across various sources, organizing research findings, and sharing results and metadata. Key aspects of data foraging include searching online spaces, opening multiple tabs, skimming pages, copying text, organizing research, and sharing findings and code.

1. Data Forager
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2. Question-centric Research
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3. Question-centric Research
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4. Wednesday, 2 May 12

5. ctrl+c ctrl+v
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6. Question-centric Research
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7. machine from XKCD 987 “potential”
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8. Who should I follow on Twitter?
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9. “TCR Siege: Man Arrested After Tottenham Court Road Standoff.” Huffington Post. Accessed 1 May 2012
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10. webpage
“TCR Siege: Man Arrested After Tottenham Court Road Standoff.” Huffington Post. Accessed 1 May 2012
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11. twitter list
“TCR Siege: Man Arrested After Tottenham Court Road Standoff.” Huffington Post. Accessed 1 May 2012
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12. tweets
“TCR Siege: Man Arrested After Tottenham Court Road Standoff.” Huffington Post. Accessed 1 May 2012
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13. Data-centric Research
web pages published data
Database or Spreadsheet
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14. Document-centric Research
FOI request leaked documents
Embedded Documents
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15. Question-centric Research
Data Forager
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16. Search Open Tabs Skim Copy/Paste Organise
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17. Search Open Tabs Skim Copy/Paste Organise
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18. Search Open Tabs Skim Copy/Paste Organise
Share
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19. Search Open Tabs Skim Copy/Paste Organise
Share
Metadata
uri: where did it come from?
researcher: who collected it?
context: the whole tweet, the surrounding paragraph etc
tags: identifiers created by the reader
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search terms: what search query led to this?
link path: what link path led to this?
classifiers: how is the page machine classified?
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20. Search Open Tabs Skim Copy/Paste Organise
Share
Code
scrapers: the code which identifies what to extract
context: the code which collects the context
tagging interfaces: the form which asks readers to tag
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automated taggers: what search query led to this?
Metadata
uri: where did it come from?
researcher: who collected it?
context: the whole tweet, the surrounding paragraph etc
tags: identifiers created by the reader
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search terms: what search query led to this?
link path: what link path led to this?
classifiers: how is the page machine classified?
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21. Search Open Tabs Skim Copy/Paste Organise
Share
Questions & Topics
research project: collaborate to aggregate data
topics: add data from the web or from the datastore
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aggregation + WikiData: calculate on top of this
Code
Metadata
uri: where did it come from? scrapers: the code which identifies what to extract
researcher: who collected it? context: the code which collects the context
context: the whole tweet, the surrounding paragraph etc tagging interfaces: the form which asks readers to tag
tags: identifiers created by the reader -----------------------------------------------------------------
----------------------------------------------------------------- automated taggers: what search query led to this?
search terms: what search query led to this?
link path: what link path led to this?
classifiers: how is the page machine classified?
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22. photo by schmaeche
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23. Data Forager photo by mecredis
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24. Wednesday, 2 May 12

25. Data Forager
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