Engage with major campus stakeholders to identify and, where necessary, develop workflows for integrating the research data repository system with existing library, campus computing, and research administration systems.
Develop and deploy API-based interfaces, web front-ends, and other components within a SOA architecture to implement the above workflows. This includes designing specifications, identifying appropriate technology stacks, and implementing the system in a maintainable and sustainable fashion.
Conduct user testing to evaluate whether the systems/workflows/integrations are meeting stakeholder and library needs.
Assist in conducting outreach to campus units and individual researchers to generate awareness and buy-in for using the data repository for campus research data products.
Create and deliver in-person and online user-oriented training on integrating the data repository into research workflows.
Participate in discussions regarding data repository curation and governance policies as needed.
Assist in managing the day-to-day operation of the repository (addressing user support requests, managing quotas).
The UA Libraries support the UA’s diversity and inclusiveness strategic initiatives designed to create an inclusive environment for all faculty, staff, and students. The candidate is expected to support diversity and inclusiveness efforts in the department and college.
Other duties as assigned.
Knowledge, Skills, & Abilities
Excellent interpersonal and communication skills, both written and verbal.
Demonstrated ability to reach out to and engage diverse stakeholders (including researchers) to evaluate needs, identify gaps, and collaboratively implement solutions.
Ability to develop and deliver instructional material for training purposes.
Knowledge of the kinds of data, systems, and interactions between them that typically exist in an institution of higher education, including SSO authentication, Active Directory/LDAP, and enterprise data storage systems.
Basic familiarity with data security and restricted data (HIPAA, ITAR, CUI, etc.).
Knowledge of needs, tools/approaches, and emerging trends in research data management, open science and research reproducibility.
Initiative, optimism, flexibility, time management, follow-through, and independent problem-solving.
Ability to work in a highly collaborative and inclusive environment, one that values and leverages the benefits of diverse perspectives.
Positive attitude and strong demonstration of Our Values: Collaboration, Continuous Learning, Diversity, Innovation, and Integrity.
Bachelor’s Degree in a computationally oriented field including, Computer Science, Software Engineering, and Information Systems or other related field AND 2 years relevant experience; OR,
Equivalent combination of training and 5 years of relevant experience; OR,
Any equivalent combination of experience, training and/or education approved by Human Resources.
Demonstrated experience applying fundamental software development concepts, patterns, tools, and frameworks in production environments using at least one modern, web-friendly programming language (e.g., Python, Ruby, PHP, .NET, Java, etc.).
Strong and demonstrable ability to analyze, document, and de-construct workflows and procedures to translate user needs into technical solutions.
Demonstrated experience developing (meta)data mapping, transfer, and transformation pipelines in the context of systems integrations using protocols and standards such as HTTP, FTP, MQTT, REST APIs, and JSON.
Demonstrated understanding of the components, processes, and practices in the scholarly communications and/or research data management environments in higher education.
Demonstrated experience working with relational databases and developing web services.
Demonstrated understanding of research data storage and transfer platforms and tools such as HPC, iRODS, Globus, rsync, S3, etc.
Experience developing and deploying services using technologies such as Dell Boomi, Red Hat Fuse, Informatica, Mulesoft, AWS, Azure, SQL, Docker, or other relevant enterprise tools/technologies.
Experience developing, marketing, and teaching workshops/training sessions.
Demonstrated familiarity with at least one digital preservation and interoperability tool or concept: OAIS Reference Model, Archivematica, OAI-PMH, BagIt, XML transformations, or others.
Demonstrated familiarity with at least one of the following: digital repository systems or services (eg., Dataverse, Dspace, Samvera, Figshare, TIND, etc.), metadata models (e.g., Dublin Core, Schema.org, EML, CodeMeta, etc.), or services for citing and sharing data (e.g., Datacite, CrossRef, ORCiD, SHARE, etc.).