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Introducing Post 16 Education datasets in SAIL Databank (session 2 of 2)
Following up from the first training webinar, this session focused on post-16 linked education and career-related datasets collected in Wales, their strengths and limitations, and how they could be utilised in research.
This webinar will cover the following Welsh post-16 education datasets:
- Lifelong Learner Wales Record (LLWR)
- EDUW (Post-16)
- Higher Education Statistics Agency Student Data (HESA)
- Destinations Survey (DLHE)
- Careers Wales Service Data
- Career Check Survey
- Population Education (Census 2011 & 2021)
Course description
Following up from the first training webinar, this session focused on post-16 linked education and career-related datasets collected in Wales, their strengths and limitations, and how they could be utilised in research.
Who should attend
Anyone interested in post-16 linked education or career-related datasets in Wales.
Skills areas & competencies
https://dataciseopenlearning.org/skills/
Skills area
- Data Privacy and Stewardship
- Definition, Acquisition, Engineering, Architect, Storage and Curation
Skills competencies
- Ensuring the Protection of Personal and Sensitive Data
- Managing Sensitive Data
- Data Collection and Management
- Data Engineering
Learning mode
Live online – Zoom
Learning outcomes
- Understand the role of the SAIL Databank in accessing EDUW and its significance in data linkage.
- Understand the Independent Governance Review Panel (IGRP) application procedure for accessing EDUW datasets.
- Apply best practices and strategies for preparing a successful EDUW application, including hints and tips provided by EDUW experts.
- Acquire practical insights into leveraging EDUW datasets for research within a Trusted Research Environment.
Transferrable skills
- General research skills in applying and utilising linked datasets held in TREs
- Communication skills by engaging in meaningful discussions with peers and experts.
- Problem-solving through navigating data application procedures.
- Collaboration through interactively sharing insights and using collective knowledge to address common challenges.
Schedule
| Time | Description | Tutor/speaker |
| 10:00 – 10:05 | Welcome, agenda, learning outcome & introducing Guests | Dr Ting Wang |
| 10:05 – 10:25 | Introduction to Post-16 in EDUW and LLWR, its collection, data quality considerations. | Matt Evans |
| 10:25 – 10:45 | · Introduction to DLHE, HESA datasets
o Structure, collection & variable selection · Hints and tips for a successful application for HESA approval |
Richard McFerran |
| 10:45 – 11:15 | · Introduction to Careers Data & Census
· Best practice and insight on data manipulation from a researcher’s perspective · Disclosure control |
Dr Katy Huxley |
| 11:15 – 11:30 | Pannel discussion | All speakers and the audience |
| 11:30 | Closing Session 2 | Dr. Ting Wang |
- 1 hour 30 mins
- Free
- Live online
- Statement of participation
- Enrolment closed
- 10:00-11:30am
- Online (Zoom)
Taught by