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Developing disciplinary focussed data management training courses in Archaeology and Social Anthropology

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Title: Developing disciplinary focussed data management training courses in Archaeology and Social Anthropology


1
  • Developing disciplinary focussed data management
    training courses in Archaeology and Social
    Anthropology
  • Lindsay Lloyd-Smith, Irene Peano, and Elin
    Stangeland
  • Cambridge University Library
  • JISC MRD Programme Workshop, Birmingham, 29th
    March, 2011

2
Aims and Objectives
  • The broad aim of the DataTrain project is to
    improve research data management training
    available within UK HEIs, by providing exemplars
    and resources for others to use.
  • Investigate current data curation practices and
    requirements within the Departments of
    Archaeology and Social Anthropology.
  • Design data management course modules based on
    the requirements identified.
  • Pilot the new data management course modules.
  • Embed the course modules within each
    department.
  • Deliver resources and findings to the ADS, DCC
    and JISC for wider dissemination and use.

3
Context
  • Departments keen to meet research support
    requirements for their post-graduate students
  • Tailor data management training guidelines and
    requirements to specific disciplines and their
    methods
  • Courses which are seen as useful and interesting
    by students
  • Ascertain that courses are embedded within the
    departments

4
Approach Similarities and Differences
  • Research-student focused courses led by recent
    Cambridge PhDs
  • Overlaps in the kinds of data produced through
    research
  • Discipline focused - leads to different emphases
    in data management
  • Anthropology
  • Often individual, self-reflexive research
    (especially at PhD level)
  • Ethos of private data, and problems with
    informed consent model
  • Non-visual presentations (except for photographs,
    quotes and sometimes video)
  • One-day interactive workshop
  • Archaeology
  • Often collaborative inter-disciplinary research
  • Ethos of data sharing and historical significance
    of research data
  • Image rich powerpoint presentations
  • 4 x 2 hr sessions

5
Data Management in Archaeology
  • 4 X 2 hr sessions for Post-Graduate students
    (Masters 1st year PhD)
  • Creating and Managing Data - thinking about data
    and talking to each other
  • Defining data in post-graduate projects
  • Working with digital data - practical stuff for
    doing a PhD
  • File structure, naming and formats.
  • E-theses
  • Data Management Plans for post-graduate projects
  • Project and Professional Data - larger research
    projects and the real world
  • Case studies of data management on larger
    research projects.
  • Archiving and Re-using Data - wrapping up
    projects, letting go and moving on
  • Depositing digital data
  • Intellectual Property Rights and research data
    in archaeology

6
Archaeology Post-Graduate Data Management Plans
7
Archaeology
  • Lessons Learnt
  • Students are most interested in data management
    that is directly relevant to their work.
  • Simplified teaching materials appreciated
    student focused but not patronising.
  • Group-discussion exercises effective.
  • One-day workshop more effective than 4 x 2 hr
    sessions avoiding drop-off in attendance.
  • Future at Cambridge
  • Mandatory 2 hour session for 1st PhD students in
    Autumn Term.
  • Post-Graduate Data Management Plans as part of
    1st 2nd year reports for PhD students.
  • Potential one-day workshop in Data Management in
    Archaeology
  • open for post-graduates, post-doctoral
    researchers and academic staff.
  • Dissemination of Materials
  • On-line Open Access teaching materials hosted by
    the Archaeology Data Service and Jorum.
  • Positive interest by other university departments
    for re-purposing teaching materials.

8
Social Anthropology
  • Requirement Gathering (Dec 2010 Jan 2011)
  • 16 people interviewed through semi-structured
    questionnaires
  • Departments computer officer
  • 5 academics at various stages of their career
  • 2 writing-up PhD students (post-fieldwork)
  • 7 pre-fieldwork PhD students (focus-group
    discussion)
  • Key findings
  • Limited departmental provisions, especially at
    post-graduate level
  • More resources (both technical and didactic)
    welcome, but not strict guidelines or policies
  • Electronic data not always crucial, reliance on
    pen and paper (often with no backup) across
    generations
  • Metadata and documentation not necessarily
    created or developed, for lack of time and
    because the research process is cyclical and
    continuously evolving (categories never stay the
    same!)
  • Memory as key

9
Social Anthropology
  • Workshop aims and outline (5 May 2011)
  • Aims
  • To provide pre-fieldwork postgraduate students
    with an understanding of data management issues
    and techniques across the data life cycle, with a
    special focus on the fieldwork phase of the
    research
  • To allow students to reflect upon and expand
    their understanding of research data to share
    their experiences, skills and issues in this
    respect
  • Outline
  • Introduction why this course?
  • Participants introduce themselves and their
    research
  • Data creation, capture and organisation
  • Data organisation Part II
  • Data Protection and Ethics
  • Looking after data
  • Working with data at different levels of research
  • Group discussion and final wrap-up

10
Social Anthropology
  • Lessons Learnt
  • Need to keep the flexibility and distinctiveness
    that underscores the ethnographic method as a
    whole also in data-management training and
    practice
  • Sharing data often seen as problematic and not
    necessarily worthwhile
  • Future at Cambridge
  • The course will be part of the research training
    program offered to pre-fieldwork PhD students in
    the coming years.
  • Teaching material will be made available on
    University online platform and on Departments
    website (issue of updating, maintenance and
    sustainability, related to resource
    availability!)
  • Dissemination of Teaching Materials
  • Camtools Department of Social Anthropology
    website UKDA DCC Jorum.

11
Summary and Future
  • Tailored to student needs and led by recent PhD
    graduates
  • Improving data management skills by teaching each
    other
  • Students only do what they need to
  • Mandatory Post-Graduate Data Management Plans in
    Archaeology
  • One-day workshops early in academic year in
    Archaeology
  • Mix of students, early career researchers and
    staff important to share best practices,
    challenges and long-term vision

12
Questions?
  • Contact
  • Project Manager Elin Stangeland es444_at_cam.ac.uk
  • Archaeology Lindsay Lloyd-Smith lrl20_at_cam.ac.uk
  • Social Anthropology Irene Peano ip223_at_cam.ac.uk
  • Project website
  • http//www.lib.cam.ac.uk/preservation/dataTrain/
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