154 · Representative Documents: Job Descriptions
UNIVERSITY OF VIRGINIA
Data Consultant
DataServicesConsultant.doc
Data Consultant Description
Description:
Over the past 2 1/2 years, the University Library's Scientific Data Consulting Group has focused on
assessment of the data management landscape at UVA, developing and testing service workflows and
processes, building team capacity, and developing a strategy for addressing long-­‐term research data
management challenges at UVA. We are now positioned to offer significant value to the research process
through a more complete set of lifecycle services and to become long-­‐term data management consulting
partners with researchers. We are now looking for an experienced researcher/scientist to join our group in a
part-­‐time capacity, for a one year period, to help advance specific objectives.
In addition to participation in day-­‐to-­‐day consulting and training activities, this individual will contribute in
the following ways:
40% -­‐ Add capacity for implementation services Apply knowledge of the University, infrastructure,
services, and belief in our approach, to add team capacity for consulting and training services,
especially in consulting with researchers on implementation of our data management process
improvement recommendations.
40% -­‐ Evaluation of value/impact Within context of responsibility centered management (RCM),
look at how SciDaC generates value for researchers and the institution from the funding allocated to
the unit, and how this ecosystem can be measured and reported in a clear manner to various
stakeholders (primary focus is on researchers).
10% -­‐ Analyze from a different perspective Conduct ongoing testing of consulting and training
processes with target user groups.
10% -­‐ Reach deeper-­‐ Help SciDaC to better frame services in language which resonates with
researchers, and to market more actively to those audiences.
Required experience/skills:
Knowledge of research data policy, sponsored research trends, research software, open access
trends, data sharing, security, preservation, IT environments, and academic research processes
generally.
A demonstrated commitment to improvement of research data management practices in the
academic environment.
Deep knowledge of how research is conducted, the incentive and motivation models involved in
academic research, and how to marry the ideal vision for management and preservation of research
data with the realities of day-­‐to-­‐day processes and cultural beliefs.
A PhD in an academic discipline, as well as demonstrated experience applying for, obtaining, and
completing sponsored research grants.
More than 10 years experience as an academic researcher.
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