APP DATA 1010 - Ethics and Data Management I

North Terrace Campus - Semester 1 - 2020

The course develops a framework to understand the ethical issues of collecting and managing data sets. We examine how data are ethically used in society, and the impact of unethical practice. The course covers aspects of data ownership, privacy, anonymity, validity and fairness. The FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) are introduced as a management strategy for thinking about sharing data in a way that will enable maximum use and reuse.

  • General Course Information
    Course Details
    Course Code APP DATA 1010
    Course Ethics and Data Management I
    Coordinating Unit School of Physical Sciences
    Term Semester 1
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 6 hours per week
    Available for Study Abroad and Exchange Y
    Course Description The course develops a framework to understand the ethical issues of collecting and managing data sets. We examine how data are ethically used in society, and the impact of unethical practice. The course covers aspects of data ownership, privacy, anonymity, validity and fairness. The FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) are introduced as a management strategy for thinking about sharing data in a way that will enable maximum use and reuse.
    Course Staff

    Course Coordinator: Dr Graham Heinson

    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course, students will be able to:

    1 Aware of the ethical issues of collecting and managing data sets
    2 Understand how data can be used in an ethical ways to make decisions
    3 Aware of basic tenets of data management, including the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable)
    4 Work in groups to analyse discipline-based data-analytic issues that have major ethical implications
    5 Develop group communication skills using blogs, web-pages, embedded videos and podcasts
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    1,2,3
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    4,5
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    4,5
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    3,4,5
    Intercultural and ethical competency
    • adept at operating in other cultures
    • comfortable with different nationalities and social contexts
    • Able to determine and contribute to desirable social outcomes
    • demonstrated by study abroad or with an understanding of indigenous knowledges
    1-5
    Self-awareness and emotional intelligence
    • a capacity for self-reflection and a willingness to engage in self-appraisal
    • open to objective and constructive feedback from supervisors and peers
    • able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
    1,2,3
  • Learning & Teaching Activities
    Learning & Teaching Modes
    This course consists of:
    • 2 x 1-hour lectures per week
    • 1 x 4 hour workships per week
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    A student enrolled in a 3 unit course, such as this, should expect to spend, on average 12 hours per week on the studies required. This includes both the formal contact time required to the course (e.g., lectures and practicals), as well as non-contact time (e.g., reading and revision)
    Learning Activities Summary
    Week 1: What are data ethics? (2 lectures and 1 workshop)
    Week 2: Data ownership  (2 lectures and 1 workshop)
    Week 3: Privacy (2 lectures and 1 workshop)
    Week 4: Anonymity  (2 lectures and 1 workshop)
    Week 5: Validity  (2 lectures and 1 workshop)
    Week 6: Fairness  (2 lectures and 1 workshop)
    Week 7: Social consequences  (2 lectures and 1 workshop)Week 8: FAIR data management principles  (2 lectures and 1 workshop)
    Week 9-12: Group project and presentations (up to 6 tutorial sessions, and 3 workshops)Week 13: Presentations and interviews (2 hours in the lecture times, 4 hour workshop)
    Week 13: Presentations and interviews (2 hours in the lecture times, 4 hour workshop)
    Specific Course Requirements
    Attendance at all workshops is compulsory
  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task Task Type
    Percentage of total
    assessment for grading purposes

    Hurdle (Yes/No) Learning Outcome

    Approximate timing of
    assessment

    (week of teaching period
    Workshop report 1
    (weeks 1-2) Power point slides
    Formative & Summative 15% N 1,2,5 Week 3
    Workshop report 2 (weeks 3-4) Power point slides Formative & Summative 15% N 1,2,5 Week 5
    Workshop report 3 (weeks 5-6) Written report Formative & Summative 15% N 1,2,5 Week 7
    Workshop report 4 (weeks 7-8) Written report Formative & Summative 15% N
    2,3,5
    Week 9
    Group project  (weeks 9-12) Oral
    presentation, report
    Formative & Summative 30% N 1,4,5 Week 13
    Individual assessment on the group project through interview Formative & Summative 10% N 1,4,5 Week 13
    Assessment Detail
    Workshop Reports 60% (4 reports X 15%)
    Reports 1 to 4 are undertaken individually and are designed to introduce students to concepts of data ethics.  Students will undertake research and develop a short report in the form of a set of slides (typically 15) or written report (max 1000 words).

    Group project 30% (10% on oral presentation, 20% on report)
    The group project is a larger team exercise involving research and critical analysis of a major discipline-based data-ethics issue.  The students will produce a significant report (as 10 web pages with embedded video and or podcast of about 15-minute duration) and present their outcomes as a group to the class.  

    Individual assessment of the group project 10%
    A further individual interview (15 minutes) will provide clarity of group members’ roles in the project and relative contributions.
    Submission
    Submission of Assigned Work
    Instructions on submission of work will be available on MyUn


    Extensions for Assessment Tasks

    Extensions of deadlines for assessment tasks may be allowed for reasonable causes. Such situations would include compassionate and medical grounds of the severity that would justify the awarding of a supplementary examination. Evidence for the grounds must be provided when an extension is requested. Students are required to apply for an extension to the Course Co-ordinator before the assessment task is due. Extensions will not be provided on the grounds of poor prioritising of time.
    The assessment extension application form can be obtained from: http://www.sciences.adelaide.edu.au/current/

    Late submission of assessments
    If an extension is not applied for, or not granted then a penalty for late submission will apply.  A penalty of 10% of the value of the assignment for each calendar day that the assignment is late (i.e. weekends count as 2 days), up to a maximum of 50% of the available marks will be applied. This means that an assignment that is 5 days late or more without an approved extension can only receive a maximum of 50% of the marks available for that assignment.
    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
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