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CODE4LIB  May 2014

CODE4LIB May 2014

Subject:

Job: Chief, Data Management at United States Holocaust Memorial Museum

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Date:

Fri, 9 May 2014 14:34:43 -0000

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Chief, Data Management
United States Holocaust Memorial Museum
Washington, D.C.

The incumbent serves as Chief, Data Management Branch, with responsibility for
overseeing the creation of metadata and its inclusion in the Museum's
Holocaust Survivors and Victims (HSV) Database in order to make the
documentation needed to trace the fates of persons during the Holocaust
readily searchable by name, document type, and other criteria.

  * Oversees the surveying of archival holdings to identify and catalog name-related documentation and the transfer of digitized holdings to partner organizations.
  * Works closely with partners to evaluate both pre- and post-production indexing projects to ensure materials are indexed accurately as well as appropriately for future inclusion in the HSV Database to support research.
  * Serves as functional focal point for development, evaluation, and implementation of cataloging methods, technical processing, thesaurus development, access systems, and quality control for the HSV Database.
  * Plans and oversees implementation of original cataloging for name lists, applying standard library rules and archival standards to ensure widest accessibility.
  * Establishes and maintains continuous liaison with researchers, scholars, and organizations involved in the collection and creation of name-related data.
  * Initiates and participates in the identification and evaluation of new information sources and tools such as name-specific databases, archival and library catalogs, microfilm and microfiche collections.
  * Answers technical and operational questions concerning aspects of HSV Database.
  * Provides technical oversight and guidance to catalogers, indexers, researchers, and program coordinators to identify, process, sort, and make readily searchable data about survivors and victims of the Holocaust
  
QUALIFICATIONS REQUIRED:

  
At the GS-13 grade level, applicants must have one (1) year of specialized
experience equivalent to the GS-12 grade level that clearly demonstrates
knowledge, skills and abilities related to creating and managing data and
databases to document personal histories; making them readily searchable, and
engaging diverse audiences; identifying and preparing collections for indexing
through various crowdsourcing initiatives and partnerships; and, developing,
evaluating, and implementing cataloging methods, technical processing,
thesaurus development, access systems, and quality control for the various
types of databases.

  
In addition to the above qualification requirements, applicants must meet the
following basic education requirements and selective placement factors.

  
A. Basic education requirements:

  
1. I have completed a 4-year course of study that meets all
the requirements for a bachelor's degree with major study in subject-matter
field related to the position, e.g., IT, data management, library science, or
related fields of study, in an accredited college or university; OR

  
2. Four (4) years of experience that provided knowledge of
the basic principles, theories, practices, techniques, and terminology of a
discipline or subject-matter field related to this position; and an
understanding of the standard methods, procedures, and techniques of research
and analysis in the subject-matter field. My experience is equivalent to that
which I would have been gained through a 4-year college curriculum; OR

  
3. I have a combination of education and experience as
described above.

  
B. Selective Placement Factors:

  
1. Broad knowledge of relational databases and basic
principles of database concepts, operations, design, and reporting. Specific
experience with databases such as MySQL, PostgreSQL, or Microsoft SQL Server
preferred.

  
2. Experience with data extraction, cleanup, manipulation,
transformation, normalization, and reuse. Familiarity with tools such as
OpenRefin and various data exchange and transfer formats and schema such as
CSV, XML, EAD, MARC, Dublin Core preferred.



Brought to you by code4lib jobs: http://jobs.code4lib.org/job/14492/
To post a new job please visit http://jobs.code4lib.org/

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