SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Data Management: Knowledge and skills required in research, - - PowerPoint PPT Presentation
Data Management: Knowledge and skills required in research, - - PowerPoint PPT Presentation
Data Management: Knowledge and skills required in research, scientific and technical organisations. Mary Anne Kennan Associate Head, School of Information Studies. SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION Context of the
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
- Australia is a vast
country
- CSU a regional
multi-campus university, mostly in NSW
- Flexible and
distance education
- Need for data
management courses?
Context of the study
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Introduction
Organisations need data librarians and managers to enable better use, management, curation, and preservation … Yet data professionals “new breed” for whom knowledge and skill requirements emerging?
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Literature and questions
Increasing literature – in written paper Questions:
- 1. Where, and in what roles, are data librarians,
managers and scientists likely to be employed;
- 2. What knowledge and skills are required of people
working in data librarianship and management roles; and,
- 3. What are the educational and training requirements
for data librarians and managers?
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Method
- 36 practicing data professionals and their
employers or supervisors
- interviewees were located in libraries,
information and/or data management departments and IT units.
- Individual and group interviews were
conducted
- this paper only reports the interviews from the
25 participants from the scientific research
- rganisations and universities.
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Roles of data librarians and data managers
- Participants worked in libraries, other
information departments, and in specialist data units of universities and scientific
- rganisations.
- There was a huge range of job titles.
- Data Librarian, Data Manager, Data Consultant, Data Support
Officer, Data Archivist.
- E-Research Librarian, E-Research Manager
- Generic – e.g. Project Officer
- But … most library and information staff NEED
to understand data
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Knowledge and skills requirements – non data specific
- Interpersonal skills and behavioural
characteristics
- Contextual knowledge
- Training and advocacy
- Team work
- Management
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Knowledge and skills requirements – data specific
- Data types and
contexts
- Data processes
- Legal and regulatory
frameworks
- Data analytics
- Data curation
- Metadata
- Discovery
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Information Technology
- Important to have “just enough” of an
understanding of IT
- 1. To bridge the perceived communication gap
between IT departments and researchers
- 2. To understand IT options and make informed
decisions
- Be “programming savvy” rather than be a
programmer
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Education & Training
Current
- Librarians
- Information
Technologists
- Scientists
Learned “on the job” Future
- Librarians “with more”
- Scientists “with more”
- Short courses
- MIS with specialisation
- Graduate Certificate
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION
Conclusions
- Obvious v. evidence
- Difference – data curation only an
emerging need
- Scientific organisations require scientific
knowledge
- Curricular questions
SCHOOL OF INFORMATION STUDIES, FACULTY OF ARTS AND EDUCATION