Difference between revisions of "Metrics"
Paulproteus (talk | contribs) (→Numbers Explanation) |
m |
||
| Line 15: | Line 15: | ||
Chart of Global CC adoption and licensing permissiveness. ''Courtesy the Participatory Media Lab -- more visualizations available [http://pml.wikidot.com/visualizations here] and an explanation of this chart [http://pml.wikidot.com/visualizations#toc5 here].'' | Chart of Global CC adoption and licensing permissiveness. ''Courtesy the Participatory Media Lab -- more visualizations available [http://pml.wikidot.com/visualizations here] and an explanation of this chart [http://pml.wikidot.com/visualizations#toc5 here].'' | ||
| − | + | Giorgos Cheliotis and the researchers at the Participatory Media Lab based at Singapore Management Univerity have been tracking and analyzing the development of Creative Commons worldwide. His 2007 TRPC paper "Taking Stock of the Creative Commons Experiment," is available [http://web.si.umich.edu/tprc/papers/2007/805/CreateCommExp.pdf here]. The Lab's [http://pml.wikidot.com/ research wiki] is a great resource for some of the latest research on CC adoption. Further slides: | |
| + | *http://www.slideshare.net/gcheliotis/assessing-cc-adoption-in-asia-manila (2009) | ||
| − | + | Mike Linksvayer, VP of Creative Commons, has also given a few presentations in the past on the analysis and development of metrics for measuring the progress of CC licensing: | |
| + | *http://www.slideshare.net/mlinksva/cci-legal-day-metrics-update-2008-07-29 | ||
| + | *http://www.slideshare.net/mlinksva/acia-2008-toward-useful-creative-commons-adoption-metrics/ *http://www.slideshare.net/mlinksva/creative-commons-metrics/ (2007) | ||
| − | + | The [[First Interdisciplinary Research Workshop on Free Culture]] held in August, 2008 featured several metrics-related presentations. | |
| − | |||
| − | |||
==Aggregate web pages licensed== | ==Aggregate web pages licensed== | ||
| Line 29: | Line 30: | ||
==Site-specific metrics== | ==Site-specific metrics== | ||
| − | [[Content Directories]] lists licensed works counts for many sites that collect CC-licensed works, e.g., about | + | [[Content Directories]] lists licensed works counts for many sites that collect CC-licensed works, e.g., about 100 million at Flickr. |
Counts for selected top sites over time may be found on the [[license statistics]] page. | Counts for selected top sites over time may be found on the [[license statistics]] page. | ||
| Line 35: | Line 36: | ||
Eventually code above should be expanded to collect this and finer-grained information (e.g., per site license breakdown) from these sites. | Eventually code above should be expanded to collect this and finer-grained information (e.g., per site license breakdown) from these sites. | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
==Other quantitative metrics== | ==Other quantitative metrics== | ||
| Line 57: | Line 48: | ||
* Press agencies? | * Press agencies? | ||
* '''Add ideas and methodology for collecting metrics here.''' | * '''Add ideas and methodology for collecting metrics here.''' | ||
| + | |||
| + | *CC web server logs: | ||
| + | ** Historical data on license choices at the [http://creativecommons.org/license/ "License your work"] CC license chooser | ||
| + | ** Indications based on referrers to our image icons to see if people change the license on web pages or other licensed documents | ||
| + | ** Indications based on image icon loading frequency as to which licenses are used by content widely seen by users | ||
| + | ** Analysis of search.creativecommons.org logs to see what sorts of licenses and items people search for - and if that has changed over time | ||
| + | ** Analysis of license deeds to see if deed information affects choices in /license/ | ||
| + | ** Geographic sub-analysis of the above | ||
| + | ** Code to reproducibly and consistently generate the above statistics. | ||
| + | [http://labs.creativecommons.org/category/metrics/ Follow updates on ccLabs.] | ||
==Qualitative metrics== | ==Qualitative metrics== | ||
Revision as of 23:09, 3 March 2009
|
Approximate Minimum Total CC Licensed Works as of July 2008: ~130 million |
The Metrics Portal is about gathering, processing and visualizing metrics about Creative Commons' related projects, with particular emphasis on the adoption and usage of Creative Commons licenses internationally. Join us!
The best place to communicate on this is through the cc-community mailing list for general discussion, cc-devel for technical discussion, and the #cc chat channel on irc.freenode.net. If really deep into this, please consider joining into the commons-research community. Join in the fun!
Contents
Research and Presentations
Chart of Global CC adoption and licensing permissiveness. Courtesy the Participatory Media Lab -- more visualizations available here and an explanation of this chart here.
Giorgos Cheliotis and the researchers at the Participatory Media Lab based at Singapore Management Univerity have been tracking and analyzing the development of Creative Commons worldwide. His 2007 TRPC paper "Taking Stock of the Creative Commons Experiment," is available here. The Lab's research wiki is a great resource for some of the latest research on CC adoption. Further slides:
Mike Linksvayer, VP of Creative Commons, has also given a few presentations in the past on the analysis and development of metrics for measuring the progress of CC licensing:
- http://www.slideshare.net/mlinksva/cci-legal-day-metrics-update-2008-07-29
- http://www.slideshare.net/mlinksva/acia-2008-toward-useful-creative-commons-adoption-metrics/ *http://www.slideshare.net/mlinksva/creative-commons-metrics/ (2007)
The First Interdisciplinary Research Workshop on Free Culture held in August, 2008 featured several metrics-related presentations.
Aggregate web pages licensed
License statistics has basic information about linkback/page/search-engine-query-based license adoption statistics, as well as the code used to gather this data and dumps of the data itself.
Site-specific metrics
Content Directories lists licensed works counts for many sites that collect CC-licensed works, e.g., about 100 million at Flickr.
Counts for selected top sites over time may be found on the license statistics page.
Eventually code above should be expanded to collect this and finer-grained information (e.g., per site license breakdown) from these sites.
Other quantitative metrics
- creativecommons.org traffic:
- Number of journals, publishers (e.g., PLoS)
- Feature films that have been released in theaters.
- Universities?
- Press agencies?
- Add ideas and methodology for collecting metrics here.
- CC web server logs:
- Historical data on license choices at the "License your work" CC license chooser
- Indications based on referrers to our image icons to see if people change the license on web pages or other licensed documents
- Indications based on image icon loading frequency as to which licenses are used by content widely seen by users
- Analysis of search.creativecommons.org logs to see what sorts of licenses and items people search for - and if that has changed over time
- Analysis of license deeds to see if deed information affects choices in /license/
- Geographic sub-analysis of the above
- Code to reproducibly and consistently generate the above statistics.
Qualitative metrics
- Case Studies
- Awards Received (grammys, oscars, etc)
- "bestsellers" for some definition of best-seller from Books
- Add ideas here...
Data
Creative Commons Data
- Queries against search engines for linkbacks to our licenses
- ccLearn: ODEPO Project (Open Database of Educational Projects and Organizations)
- Scrubbed Creative Commons Apache logs (eventually)
Other Datasets
- Any other data sets? Add them here...
Tools
- ccTools used for license statistic gathering
- Add your tools here!
Numbers Explanation
The Approximate Minimum Total CC Licensed Works is based on licenses reported by Yahoo search queries and Flickr and is the minimum number of licensed works that would satisfy the distribution of license types across both of them. See the estimation code.
This uses the scaling algorithm programmed by Ankit Gugliani as part of his work with Giorgos Cheliotis.
