Data Services Librarian
Carnegie Mellon University
Pittsburgh
The Data Services Librarian, a library faculty position, conducts outreach and
engagement efforts to members of the campus community and offers strategies,
best practices and services to manage their data throughout the research life
cycle with an eye to ensuring that the university complies with federal
mandates. Some of the responsibilities include:
* Works with library personnel to implement data curation systems in current
and future data preservation infrastructures (e.g. ArchivalWare, Research
Showcase)
* Provides support for the creation, review, cleaning, and publication of
data products and associated metadata products
* Provides technical support for data and content owners using data
preservation infrastructures
* Leads the development of policies and procedures for data curation and
management on campus
* The librarian engages in committee work and collaborates in other areas
relevant to the professional responsibilities of the appointment.
Qualifications:
Minimum:
* Education: MLS/MLIS from an ALA-accredited institution or significant
related experience or degree.
* Experience:
* Demonstrated understanding of data curation and lifecycle management of
data in an academic setting
* Demonstrated experience with non-MARC standards (e.g. DC, MODS, EAD,
METS, TEI, etc.)
* Demonstrated experience cross-walking, normalizing and transforming XML
using XSL
* Demonstrated understanding of developments and trends in data services
and tools
* Familiarity with emerging technologies, standards, and trends in digital
scholarship (e.g., electronic publishing, data mining, digital preservation)
* Skills: Applicants must have knowledge of:
* The use of data in research and teaching in an academic environment
* Demonstrated understanding of the concepts and trends in data curation
and data life cycle management
* Of technology and standards related to digital libraries and data
curation such as metadata (Dublin Core, Datacite, MARC, and other
domain-specific metadata schema), OpenURL, OAI, Linked Data, and other Web 2.0
principles
* Demonstrated understanding and knowledge of available tools for providing
research data management services in an academic environment
* Demonstrated understanding of the variety of data types, uses, and
formats deployed in an academic environment
* Proficiency with PC and Macintosh and other operating systems
* Excellent organizational, communication, and presentation skills
* Strong interpersonal skills with the ability to effectively interact with
diverse groups including colleagues, faculty, students, and administrators in
collaborative team environments
* Demonstrated ability to manage projects and work independently or as part
of a team.
* Physical Mobility: Ability to travel to campus and off-campus locations;
ability to sit at computer for long periods of time; keyboard use/repetitive
hand motion; sedentary work.
* Environmental Conditions: Normal office environment.
* Mental: Ability to understand, respond and follow directions; Ability to
remain calm and composed when dealing with difficult situations or people,
including employee relationships; ability to work under pressure; ability to
pay close attention to detail; ability to meet deadlines; reading/close-up
work; ability to organize work; ability to prioritize work; ability to
persuade; ability to effectively negotiate; and ability to maintain
confidentiality.
* Other: This position requires a background check.
Preferred:
* Education: A Ph.D. or a graduate degree in the sciences or engineering is
preferred.
* Experience: At least two years experience in a library, or in an academic
setting. Familiarity with the market for digital resources and knowledge of
scholarly communication patterns in academic institutions. Experience providing
research support in an academic library setting. Knowledge of the issues
surrounding scholarly communications and data management planning.
* Skills:
* Demonstrated familiarity with basic principles of programming with one or
more major programming language (etc. Python, PHP, Javascript)
* Experience with GIS, statistical software, or other specialized data
processing and data production applications
* Experience with one or more digital library, archival preservation, or
institutional repository systems
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