Postgraduate Course: Approaches to Administrative Data for Children (fusion on-site) (EFIE11327)
Course Outline
| School | Edinburgh Futures Institute |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | In this course, students will learn how to partner, clean/convert and analyse administrative data - which is data collected as public services are provided, not data collected primarily for research purposes. Students will explore how this category of data can help organisations aimed at safeguarding children and preventing violence succeed across the public, private and third sectors. Better use of administrative data can support the delivery of existing child protection services, from policing to social work, and it can be used to create entirely new services. It is a driver of scientific and technological innovation, and central to safeguarding children and preventing violence against new and emerging threats. |
| Course description |
The course will be taught in a hybrid format with a two-week pre-intensive part of the course leading up to a two-day intensive sessions followed by the two-week post intensive sessions.
In the pre-intensive part of the course (2 weeks) students will engage with experts in the field through 2 pre-recorded guest lectures and case studies that present administrative data challenges and opportunities in relation to delivering child protection and public services to children. Students will also read literature on examples of administrative data partnerships, cleaning and/or converting administrative data for research purposes, administrative data linkage, analysis and data for impact.
In the two-day intensive, student will hear directly from those delivering services for children and working with administrative data (including the ADRC) from different global contexts around challenges and opportunities around the data that is collected. Students will also engage with experts who are attempting to improve administrative data across countries including through child protection management information systems and policing video/image common schemas/language. Students will get the chance to work hands on with several administrative datasets to see the format and to work through converting these datasets to a format that can be used for research purposes.
During both the intensive and post-intensive sessions, students will individually work on an administrative dataset and create a 1,000 word case study for how they would work with that dataset for research purposes in order to create impact.
Edinburgh Futures Institute (EFI) - On-Site Fusion Course Delivery Information:
The Edinburgh Futures Institute will teach this course in a way that enables online and on-campus students to study together. This approach (our 'fusion' teaching model) offers students flexible and inclusive ways to study, and the ability to choose whether to be on-campus or online at the level of the individual course. It also opens up ways for diverse groups of students to study together regardless of geographical location. To enable this, the course will use technologies to record and live-stream student and staff participation during their teaching and learning activities.
Students should be aware that:
- Classrooms used in this course will have additional technology in place: students might not be able to sit in areas away from microphones or outside the field of view of all cameras.
- Unless the lecturer or tutor indicates otherwise you should assume the session is being recorded.
As part of your course, you will need access to a personal computing device. Unless otherwise stated activities will be web browser based and as a minimum we recommend a device with a physical keyboard and screen that can access the internet.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2024/25, Not available to visiting students (SS1)
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Quota: 20 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Seminar/Tutorial Hours 6,
Supervised Practical/Workshop/Studio Hours 14,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
78 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Summative Assessment:
The course will be assessed by means of the following assessment components:
1) 1000-word Case Study (100%)
Choosing from a list of administrative datasets (or ones that students have access to with pre-approval), students will create a 1,000 word case study detailing the steps they would take to convert and use that administrative data for research purposes including the impact this could have for response and prevention. |
| Feedback |
Formative Feedback:
- Intensive session activities during course will receive feedback from peers and staff.
- Discussion of issues and questions during course organiser's office hours.
Summative Feedback:
- Case study - teacher feedback. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand the characteristics of administrative data and what data each child protection system actor holds.
- Demonstrate an advanced understanding of the challenges and opportunities with administrative data and how it can be used to improve public services for children and improve primary prevention.
- Demonstrate a comprehensive understanding of the processes for converting administrative data for research use and the key questions that need to be explored.
- Critically engage in ethical issues surrounding child protection administrative data and its use for research purposes.
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Reading List
Indicative Reading List:
Essential Reading:
McGhee, Janice et al. 'Taking a Long View in Child Welfare: How Can We Evaluate Intervention and Child Wellbeing over Time?' (2013).
Hooper, Jade, Linda Cusworth, and Helen Whincup. 'Protecting Children During Child Protection Research Using Administrative Data.' International journal of population data science 4.3 (2019).
Lin, Van-Kim et al. Working with Administrative Data in Early Childhood and Related Fields. Urban Institute, 2021. https://www.urban.org/sites/default/files/publication/103667/working-with-administrative-data-in-early-childhood-and-related-fields_0.pdf
Jones, Kerina Helen et al. 'The Good, the Bad, the Clunky: Improving the Use of Administrative Data for Research.' International journal of population data science 4.1 (2018): 587-587.
Recommended Reading:
Trocmé, Nico et al. 'Building Research Capacity in Child Welfare in Canada: Advantages and Challenges in Working with Administrative Data.' Re-Visioning Public Health Approaches for Protecting Children. Cham: Springer International Publishing, 2019. 433-454.
Further Reading:
ADRC UK, Ministry of Justice 'Department for Education linked dataset: Feasibility of evaluating early interventions for violence prevention https://www.adruk.org/news-publications/publications-reports/moj-dfe-linked-dataset-feasibility-study-data-quality-report/
ADRC UK blogs and publications: https://www.adruk.org/ |
Additional Information
| Graduate Attributes and Skills |
- Enquiry and lifelong learning
- Outlook and engagement
- Research and enquiry
- Personal and intellectual autonomy
- Personal effectiveness
- Communication |
| Keywords | Administrative Data,Children,Young People,Child Protection,Public Services,EFI,Level 11,PG |
Contacts
| Course organiser | Dr Deborah Jackson
Tel:
Email: D.Jackson@gsa.ac.uk |
Course secretary | Miss Yasmine Lewis
Tel:
Email: yasmine.lewis@ed.ac.uk |
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