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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
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