Jeanne Kramer-Smyth – THATCamp CHNM 2008 https://chnm2008.thatcamp.org The Humanities And Technology Camp Fri, 06 Mar 2020 19:24:37 +0000 en-US hourly 1 https://wordpress.org/?v=4.9.12 Crowdsourcing Transcriptions https://chnm2008.thatcamp.org/05/23/crowdsourcing-transcriptions/ https://chnm2008.thatcamp.org/05/23/crowdsourcing-transcriptions/#comments Sat, 24 May 2008 01:46:22 +0000 http://thatcamp.org/?p=37

The other idea I would love to talk about is the idea of distributed document transcription as I explain it in my blog post: Archival Transcriptions: for the public, by the public.  While I do love what reCaptcha does at the word level and Footnote.com does with locations, names and dates – I still think there is a place for a centralized web-based system where digitized documents can be uploaded and then transcribed & verified by volunteers. I think this would be especially powerful for smaller archives.

I would love to hash out this idea with others as well as learn what other projects like this might already exist.

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Visualizing Aggregated Data https://chnm2008.thatcamp.org/05/23/visualizing-aggregated-data/ https://chnm2008.thatcamp.org/05/23/visualizing-aggregated-data/#comments Sat, 24 May 2008 01:28:55 +0000 http://thatcamp.org/?p=36

I would love to discuss ideas for visualizing aggregated data.

My personal focus has been on descriptive data about archival record groups and manuscript collections – with a stress on subject terms, quantity of materials (think total linear feet), subject terms and physical location of the materials.  I worked on a prototype visualization tool called ArchivesZ – but I have also seen many other inspirations for alternate approaches.

General topics I would like to include:

  • leveraging standard markup, such as EAD (Encoded Archival Description), to support aggregation of  information about collections both within and across institutions
  • the challenge of non-standard subject terms
  • the coolest visualizations we think could be adapted to this type of data (my current obsession being the TimeRiver as exemplified by the NY Time’s box office revenue visualization)

I think that these ideas could coordinate well with what Laura mentioned in An archive aggregator.

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