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 Data Repositories Minimize

In advance of the DID Challenge, the funders approached many major repositories of digital cultural heritage materials and asked them to provide contact and technical support information for gaining access to their collections.  This list is constantly being updated, so check back often.  If you are a representative of such a collection and wish to be added to this list, please contact the DID Challenge organizers.

Current List of Data Repositories

(Last Updated:  7 May, 2009)


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 Read the RFP Minimize

Interested in applying? Below you will find the Request for Proposals (RFP) for the DID Challenge as well as four agency-specific addenda.  Please read all materials carefully.

Main DID RFP [PDF]


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 How to Apply Minimize

Before applying, please read both the main RFP and the RFP Addenda.

Submit a Letter of Intent
(LOI deadline now passed)

Submit a Final Application 
(Final appplications accepted beginning 15 June. Final deadline 15 July 2009)

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Frequently Asked Questions (FAQs)
(last modified 9 March)
 


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 Announcing the Digging into Data Challenge Minimize

The Digging into Data Challenge is an international grant competition sponsored by four leading research agencies, the Joint Information Systems Committee (JISC) from the United Kingdom, the National Endowment for the Humanities (NEH) from the United States, the National Science Foundation (NSF) from the United States, and the Social Sciences and Humanities Research Council (SSHRC) from Canada. 

What is the "challenge" we speak of?  The idea behind the Digging into Data Challenge is to answer the question "what do you do with a million books?"  Or a million pages of newspaper? Or a million photographs of artwork?  That is, how does the notion of scale affect humanities and social science research? Now that scholars have access to huge repositories of digitized data -- far more than they could read in a lifetime -- what does that mean for research?  

Applicants will form international teams from at least two of the participating countries.  Winning teams will receive grants from two or more of the funding agencies and, one year later, will be invited to show off their work at a special conference. Our hope is that these projects will serve as exemplars to the field.

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The advent of what has been called “data-driven inquiry” or “cyberscholarship” has changed the nature of inquiry across many disciplines, including the sciences and humanities, revealing new opportunities for interdisciplinary collaboration on problems of common interest.  The creation of vast quantities of Internet accessible digital data and the development of techniques for large-scale data analysis and visualization have led to remarkable new discoveries in genetics, astronomy, and other fields, and—importantly—connections between academic disciplinary areas.  New techniques of large-scale data analysis allow researchers to discover relationships, detect discrepancies, and perform computations on data sets that are so large that they can be processed only using computing resources and computational methods developed and made economically affordable within the past few years.  With books, newspapers, journals, films, artworks, and sound recordings being digitized on a massive scale, it is possible to apply data analysis techniques to large collections of diverse cultural heritage resources as well as scientific data.  How might these techniques help scholars use these materials to ask new questions about and gain new insights into our world?  To encourage innovative approaches to this question, four international research organizations are organizing a joint grant competition to focus the attention of the social science and humanities research communities on large-scale data analysis and its potential application to a wide range of scholarly resources. 

The goals of the initiative are

  • to promote the development and deployment of innovative research techniques in large-scale data analysis;
  • to foster interdisciplinary collaboration among scholars in the humanities, social sciences, computer sciences, information sciences, and other fields, around questions of text and data analysis;
  • to promote international collaboration; and
  • to work with data repositories that hold large digital collections to ensure efficient access to these materials for research.

 

If you are intereresting in taking up this challenge, please read the RFP and addenda available on this page. 


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 Sponsors Minimize

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 Related Reading Minimize

Below are some related readings. Please feel free to send us further suggestions.

Anderson, Chris. "The End of Theory: The Data Deluge Makes the Scientific Method Obsolete." Wired 16.07 (2008)

Arms, William and Ronald Larsen (editors). "The Future of Scholarly  Communication: Building the Infrastructure for Cyberscholarship". NSF/ JISC workshop, Phoenix, Arizona, April 17 to 19, 2007.

Clement, Tanya, Sara Steger, John Unsworth, and Kirsten Uszkalo. "How Not to Read a Million Books?" Presentation at Harvard University (2008)

Cohen, Daniel. "From Babel to Knowledge: Data Mining Large Digital Collections." D-Lib Magazine 12.3 (2006)

Cohen KB, Hunter L. "Getting Started in Text Mining." PLoS Computational Biology 4(1): e20 doi:10.1371/journal.pcbi.0040020

Crane, Greg. "What Do You Do with a Million Books?" D-Lib Magazine 12.3 (2006).

Friedlander, Amy (editor). "Promoting Digital Scholarship: Formulating Research Challenges in the Humanities, Social Sciences and Computation." Council on Library and Information Resources (2008).

Halevy, Alon, Peter Norvig, and Fernando Pereira. "The Unreasonable Effectiveness of Data." IEEE Intelligent Systems, vol. 24, no. 2, pp. 8-12, Mar./Apr. 2009, doi:10.1109/MIS.2009.36

Venter, Craig. "Bigger Faster Better." Seed, November 20 (2008).


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 Contact Minimize

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The Digging into Data Challenge is being administered by the Office of Digital Humanities at the National Endowment for the Humanities. To contact ODH with any kinds of questions, please send us an e-mail.  If you have funder-specific questions, please see the specific contact information found in each RFP Addendum.


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 Press Minimize

Press Releases for Digging into Data Challenge

JISC, NEH, NSF, SSHRC


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