Created: September 11, 2014
The Data Curator works in a team-based environment to implement and advance the Libraries’ data management services. Working as part of the Data Curation Unit and collaborating with colleagues across the Libraries, the incumbent will play a leading role in creating workflows, identifying, implementing, and assessing the use of technologies that support qualitative and quantitative data gathering, manipulation, transformation, visualization and analysis. They will also advise on the development of infrastructure supporting a data repository to maximize the exposure and reuse of research data sets at Virginia Tech and lead efforts involving the transformation of metadata into appropriate formats.
This position will be responsible for:
- Processing requests for archiving datasets in the digital repository; designing and implementing appropriate processing workflows.
- Selecting and managing technologies for transferring and transforming metadata to augment datasets and enable ingest into a repository.
- Developing, documenting, and executing policies and workflows relating to technical processes for actively managing the lifecycle of datasets within the library at Virginia Tech; developing processes for maintaining the integrity of and access to archived datasets.
- Leading data transformation and manipulation projects.
Master’s degree or Bachelor’s degree and significant experience equivalent to an advanced degree. Relevant experience in working with data and metadata for the purposes of research. Demonstrated use of a scripting language such as Python or Ruby. Demonstrated understanding of database systems. Demonstrated experience in curating, handling, managing, or transforming large datasets. Demonstrated time management and project completion skills. Excellent analytical, interpersonal, oral, and written communication skills. Ability to work independently and collaboratively within a team-based environment.
Experience with Geospatial Information Systems and Government Data. Knowledge of federal agency public data policies with a demonstrated understanding of requirements for long-term archiving. Experience using metadata standards for digital preservation, XML, XQuery, and XSLT. Knowledge of issues and developments in repository development. Experience with statistical modeling and data visualization. Experience or interest in linked data and semantic web technologies.
Last updated: Tuesday, February 28, 2017 23:43 UTC