SPEC Kit 334: Research Data Management Services · 75
Research Data Management
Research data management practices
Self-education in data management and big data
Data Curation
Data curation
Data curation, data management, data analysis (also research methods and data analysis)
Metadata
Scholarly Communication
Copyright, how faculty actually conduct research (and how a research University actually runs- priorities) data formats
and overall RDM best practices. (also Research Methods and Data Analysis and Research Data Management)
Policy/copyright/IP management
Scholarly communications training and experience
Other
The librarians who are liaisons to departments, labs and centers have knowledge of the research activities of the areas
to which they are liaisons and experience supporting researchers with data management.
47. Please indicate up to three skills that your RDM staff most need additional training on. N=51
Identifying and applying appropriate metadata standards 25 49%
Digital preservation 17 33%
Data ownership policies 16 31%
Ethical and legal issues 15 29%
Subject domain expertise 15 29%
Data security 12 24%
Data sharing &access 11 22%
Data storage and backup planning 10 20%
Understanding funder requirements for data management plans 8 16%
Data retention policy 7 14%
File organization and naming conventions 6 12%
Data citation 4 8%
Other skill 8 16%
Please briefly describe any other skill that your RDM staff most need additional training on. N=8
A degree of proficiency in applications used for data acquisition, wrangling, analysis, interpretation, and visualization.
Because we are in the process of assessing data service needs, we are not at the point of defining more services and/or
identifying additional skills for library staff. These activities will follow later this year and next.
Research Data Management
Research data management practices
Self-education in data management and big data
Data Curation
Data curation
Data curation, data management, data analysis (also research methods and data analysis)
Metadata
Scholarly Communication
Copyright, how faculty actually conduct research (and how a research University actually runs- priorities) data formats
and overall RDM best practices. (also Research Methods and Data Analysis and Research Data Management)
Policy/copyright/IP management
Scholarly communications training and experience
Other
The librarians who are liaisons to departments, labs and centers have knowledge of the research activities of the areas
to which they are liaisons and experience supporting researchers with data management.
47. Please indicate up to three skills that your RDM staff most need additional training on. N=51
Identifying and applying appropriate metadata standards 25 49%
Digital preservation 17 33%
Data ownership policies 16 31%
Ethical and legal issues 15 29%
Subject domain expertise 15 29%
Data security 12 24%
Data sharing &access 11 22%
Data storage and backup planning 10 20%
Understanding funder requirements for data management plans 8 16%
Data retention policy 7 14%
File organization and naming conventions 6 12%
Data citation 4 8%
Other skill 8 16%
Please briefly describe any other skill that your RDM staff most need additional training on. N=8
A degree of proficiency in applications used for data acquisition, wrangling, analysis, interpretation, and visualization.
Because we are in the process of assessing data service needs, we are not at the point of defining more services and/or
identifying additional skills for library staff. These activities will follow later this year and next.
