[Air-L] Big Data texts

[Jason Rhody]

Dear Mark,
You might find the website for the "Digging into Data Challenge" (
www.diggingintodata.org) a useful resource.  The Digging into Data
Challenge is an international grant competition created by the National
Endowment for the Humanities that involves ten research funders
representing Canada, the Netherlands, the United Kingdom, and the United
States (the National Science Foundation and the Institute for Museum and
Library Services are the other two US funders).

We are currently soliciting applications for round 3 of this competition,
but for your purposes, you might find a lot of useful material based on the
first round of funding, including a report from the Council on Library and
Information Resources (CLIR): "One Culture. Computationally Intensive
Research in the Humanities and Social Sciences: A Report on the Experiences
of First Respondents to the Digging Into Data Challenge" (
http://www.clir.org/pubs/reports/pub151).

Since the projects require diverse collaborative teams from a variety
of disciplinary backgrounds and nationalities, you get a nice mix of
qualitative and quantitative methodologies against the backdrop of some
interesting research material (such as data mining historical crime using
nearly 200,000 trials across nearly 250 years in the Old Bailey archives -
http://criminalintent.org/).  Furthermore, many projects have robust
project websites and blogs.

The Digging website also has a healthy list of available data repositories:
http://www.diggingintodata.org/Home/Repositories/tabid/167/Default.aspx

Hope you and your students find these resources useful.

(And, as an aside, anyone interested in applying for a Digging into Data
grant should also visit diggingintodata.org for the submission guidelines
-- the deadline is May 15, 2013).

With kind regards,
Jason

--
Jason Rhody, Ph.D.
Senior Program Officer
National Endowment for the Humanities
Office of Digital Humanities
www.neh.gov
http://misc.wordherders.net/?page_id=2





On Wed, Feb 27, 2013 at 6:00 PM, <air-l-request at listserv.aoir.org> wrote:

>
> Today's Topics:
>    4. Big Data texts (Mark D. Johns)
> ------------------------------
>
> Message: 4
> Date: Wed, 27 Feb 2013 09:47:22 -0600
> From: "Mark D. Johns" <mjohns at luther.edu>
> To: aoir list <air-l at aoir.org>
> Subject: [Air-L] Big Data texts
> Message-ID:
>         <CAHKCqnCN_xtL4vV-t8BziupXum3vDXMUJXUzC=
> X_UqvCCHSsoQ at mail.gmail.com>
> Content-Type: text/plain; charset=ISO-8859-1
>
> I've been assigned to teach an advanced research methods course on
> "big data" next fall to upper-level undergrads. As I'm more of a
> qualitative guy, this is a bit outside my comfort zone.
>
> I'm seeking recommendations of books, journal articles, or other
> readings that would be accessible to undergraduate juniors and seniors
> on analytics and related topics.
>
> Please respond off list, and if there is interest, I'll post a summary
> later. Thanks in advance.
> --
> Mark D. Johns, Ph.D.
> Associate Professor, Communication Studies
> Luther College, Decorah, Iowa USA
> -----------------------------------------------
> "Get the facts first. You can distort them later."
>     ---Mark Twain
>
>
> ------------------------------
>
>