Under the direction of the Head of Digital Scholarship and Data Curation, the Digital Scholarship & Repository Analyst (Analyst) provides technical expertise to support the development of innovative digital scholarship and data curation programs at the UConn Library. As a member of the Digital Scholarship and Data Curation Unit and a part of the Greenhouse Studios: Scholarly Design at UConn, this position collaborates with staff and scholars to conceive and develop technical approaches to support digital curation and scholarly expression. The Analyst works with members of the Unit to conceive, prototype, test, and implement compelling digital scholarship tools and designs for digital repository programs and Greenhouse Studios projects, particularly focusing on effective preservation and integration of media, data, and the communication of scholars’ ideas. The Analyst maintains current awareness of relevant technologies and applies that knowledge as part of the team and seeks opportunities to contribute to the development of methods and tools which enhance scholarship.
Duties and Responsibilities
- Collaborates with staff and scholars to conceive and develop technical approaches to support digital curation and scholarly expression.
- Researches and develops effective techniques for preservation and integration of media, data, and the communication of scholars’ ideas.
- Researches, conceives, prototypes, tests, implements, and documents compelling digital tools and designs for digital repository programs and Greenhouse Studios projects.
- Contributes the technical results of research and development to the larger scholarly community (including code, techniques, and applications).
- Maintains current awareness of relevant technologies and applies that knowledge as part of a team.
Shared Expectations for All Staff
- Participates in Library-wide strategic planning and actively contributes to Area and Unit priorities, initiatives, and/or operations through collaboration and cooperation.
- Demonstrates reliable and effective written and verbal communication and interpersonal skills.
- Maintains currency and open communication in ongoing trends and developments related to position responsibilities.
- Acts independently in the performance of everyday tasks and responsibilities.
- Works effectively in current office applications, software, and communication tools as set by the Library and/or University of Connecticut.
- Performs duties parallel to position responsibilities as required.
- Bachelors degree in Computer Science or related field and two to three years experience in open source application development.
- Demonstrated knowledge of and experience working with and developing code for digital repository and digital curation systems, for example: Fedora Commons, Islandora, and content management systems.
- Demonstrated ability in analytical reasoning and creative problem solving.
- Demonstrated ability to work effectively with a diverse group of researchers, staff, and students.
- Demonstrated leadership and excellent communication skills.
- Experience with Fedora Commons, Islandora, Drupal, and Omeka.
- Demonstrated experience with commonly used languages and schemas, for example: Sparql, Python, MongoDB, Ruby.
- Demonstrated experience with or knowledge of emerging frameworks and techniques, for example: AngularJS, Rails, CodeIgniter, Laravel, Docker, Camel, Amazon Web Services/EC2, nodeJS.
- Demonstrated knowledge of linked data and RDF.
- Demonstrated experience with source code versioning systems such as Git.
- Experience in an academic research library.
This is a full time position based in Storrs with an anticipated start date of October 14, 2016. The University offers a competitive salary, outstanding benefits, including employee and dependent tuition waivers at UConn and a highly desirable work environment. Salary is dependent upon education, qualifications, and experience.
Applications should be submitted online using UConn Jobs at http://www.jobs.uconn.edu and include a cover letter, detailed resume, and contact information for three professional references.
Nominations and inquiries should be sent in confidence to email@example.com. To ensure full consideration, inquiries and applications should be submitted by August 12, 2016. Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check.