Hi Kelley,

I might be able to help in your search.   I'm in the process of starting a
website that connects academic researchers with volunteer software
developers.  I'm looking for people to post programming projects on the
website once it's launched in late January.   I realize that may be a
little late for you, but perhaps the project you mentioned in your PS
("clustering based on title, name, date ect.") would be perfect?      The
one caveat is that the website is targeting software developers who wish to
volunteer.   Anyway, if you're interested in posting, please send me an
e-mail  at  [log in to unmask]    I would greatly appreciate it.
Oh and of course it would be free to post  :)      Best of luck in your
hiring process,

Heather Claxton-Douglas

On Mon, Nov 11, 2013 at 9:58 PM, Kelley McGrath <[log in to unmask]> wrote:

> I have a small amount of money to work with and am looking for two people
> to help with extracting data from MARC records as described below. This is
> part of a larger project to develop a FRBR-based data store and discovery
> interface for moving images. Our previous work includes a consideration of
> the feasibility of the project from a cataloging perspective (
>, a prototype end-user interface
> (,
> and a web form to
> crowdsource the parsing of movie credits (
> Planned work period: six months beginning around the second week of
> December (I can be somewhat flexible on the dates if you want to wait and
> start after the New Year)
> Payment: flat sum of $2500 upon completion of the work
> Required skills and knowledge:
>   *   Familiarity with the MARC 21 bibliographic format
>   *   Familiarity with Natural Language Processing concepts (or
> willingness to learn)
>   *   Experience with Java, Python, and/or Ruby programming languages
> Description of work: Use language and text processing tools and provided
> strategies to write code to extract and normalize data in existing MARC
> bibliographic records for moving images. Refine code based on feedback from
> analysis of results obtained with a sample dataset.
> Data to be extracted:
> Tasks for Position 1:
> Titles (including the main title of the video, uniform titles, variant
> titles, series titles, television program titles and titles of contents)
> Authors and titles of related works on which an adaptation is based
> Duration
> Color
> Sound vs. silent
> Tasks for Position 2:
> Format (DVD, VHS, film, online, etc.)
> Original language
> Country of production
> Aspect ratio
> Flag for whether a record represents multiple works or not
> We have already done some work with dates, names and roles and have a
> framework to work in. I have the basic logic for the data extraction
> processes, but expect to need some iteration to refine these strategies.
> To apply please send me an email at kelleym@uoregon explaining why you
> are interested in this project, what relevant experience you would bring
> and any other reasons why I should hire you. If you have a preference for
> position 1 or 2, let me know (it's not necessary to have a preference). The
> deadline for applications is Monday, December 2, 2013. Let me know if you
> have any questions.
> Thank you for your consideration.
> Kelley
> PS In the near future, I will also be looking for someone to help with
> work clustering based on title, name, date and identifier data from MARC
> records. This will not involve any direct interaction with MARC.
> Kelley McGrath
> Metadata Management Librarian
> University of Oregon Libraries
> 541-346-8232
> [log in to unmask]