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The challenges of open data: emerging technology to support learner journeys
1. The challenges of open data:
emerging technology to
support learner journeys
Graham Attwell, Pontydysgu
Jenny Bimrose, IER University of
Warwick
PONTYDYSGU
2. LMI to support learner journeys
What LMI do learners need?
What do careers practitioners
need to know?
Where can relevant LMI be
found?
How do we know it’s high quality?
Is LMI fit for purpose?
3. LMI for All
To develop a careers LMI data tool that supports
individuals make better decisions about learning
and work
requiring access to, and use of, core national
data sources
5. Objectives
IDENTIFY: robust sources of LMI to inform
decisions about learning and work
COLLATE: sources in an automated, single,
accessible location for careers
FACILITATE: easy use of LMI data in conjunction
with other data sources
EVALUATE: relevance of the data tool with key
stakeholders
6.
7. Process of developing the LMI database
Create a repository of careers labour market
information
Take lessons learnt from pilot
Assess data sources in terms of usefulness for careers
and accessibility
Link up data sources using a common structure
Test out database during hack and modding days
To open data up for multiple interfaces for a range of
users
8. Process of development: Dynamic/Iterative
Data
Accessibility & Open Data
Stakeholders & Communication
9. Overview of data sources
Office for National Statistics – ASHE, LFS, Census of
Population, BRES
UKCES – Working Futures and ESS data
BIS, DfE, & other bodies – access to data on
education and training courses
DWP - access to detailed data on vacancies by
occupation
Devolved nations – statistical agencies
Eurostat, Cedefop, etc. – access to European data
Other data providers
10. Overview of data and indicators
Employment: historical, projected and replacement
demand (Working Futures based on LFS, BRES)
Pay and earnings (estimates based on ASHE and LFS)
Hours (ASHE)
Unemployment rates (LFS)
Number of vacancies (ESS)
Occupational descriptions (ONS)
Skills, abilities and interests (O*NET)
Current vacancies (fuzzy search)
Higher education destinations (HESA)
11. Employment levels
by occupation
How many jobs are there? How many
in my area? What are the past trends?
What are likely future trends?
Labour Force
Survey, Working
Futures
Average earnings
by occupation
How much do people get paid for this
job? How much at the start of their
career? How much in my area?
Annual Survey of
Hours and
Earnings
Unemployment by
occupation
What proportion of people in this
occupation are currently out of work?
Annual Population
Survey
Profile of
qualification level
by occupation
What level of qualification do people
have in this job and what am I likely to
need?
Labour Force
Survey, Working
Futures
Vacancies by
occupation
How many vacancies are there for this
job? What proportion are hard to fill?
Employer Skills
Survey
The data big questions…
12. Challenges in linking LMI sources
Data from range of sources
Classification and descriptions of occupations –
use of SOC
Use of Annual Survey of Hours and Earnings
data
Local data and sample sizes
Forecasting data from Working Futures
Access to job vacancy and skills data
Need for education and skills opportunities
data
13. Emerging technology
Open and linked data
Supporting multiple platforms and devices
Developing data cubes
Automatic data upload (ETS)
Facilitating and supporting third party
developers (API)
Confidentiality and non disclosure
14. Lessons learned
Technology challenges: interfaces and tools
for updating data; developing a data cube;
support for mobile devices
Data challenges: various data sets;
occupational classifications and descriptions;
standardisation of data from different data
sets; local data; sample sizes; future trends;
vacancy data; education and training
opportunities; exploitation of US O*NET
16. Over to you…
Work on your own or in groups:
Explore the api http://api.lmiforall.org.uk/
Draw up some possibilities for app or web
developments using the LMI for All database
Approximately 20 minutes
17. Things to consider…
What ‘big questions’ are you
trying to answer?
Apps to address different
audiences, their learning
styles and data needs
What about data mashing?
Potential to use on different
devices
19. Early developments…
Access has now been provided to selected
developers
Purpose – to understand what creative
applications will emerge
Two interfaces from early adopters are
publicly available, others are working towards
launch
21. Can be used along side other, qualitative
information… for example, icould
2
1
Data alongside career videos to encourage and
inspire young people to think broadly about their
careers.
http://icould.com/
22. …For a wide range of
audiences…for example, RCU data
dashboard
A summary
dashboard
presenting
information on the
current and future
employment
demand for UK
occupations to link
LMI to a
curriculum
strategy.
http://rcultd.co.uk/wf/
23. …In a variety of contexts…for example,
Career Trax
Temporary
extension
shows Career
Trax
embedded in
the
‘Right Move’
website.
http://career-trax.herokuapp.com
24. Next steps
Integration of more data, including:
Short-term - Course data; Job vacancy data
Long-term - More on skills & abilities
(O*NET); European data
Modding day to develop marketable apps
Implementation of data cubes
25. How to get involved?
Find out more
http://www.lmiforall.org.uk/
Follow us on Twitter @lmiforall
Become an early adopter
Stay in contact!
Final launch early summer 2015
26. For more information…
Email:
Jenny.Bimrose@warwick.ac.uk
Peter.Glover@ukces.org.uk
Further information:
http://www.lmiforall.org.uk/
http://api.lmiforall.org.uk/
Editor's Notes
People make important decisions about their participation in the labour market every year. This extends from pupils in schools, to students in Further and Higher education institutions and individuals at every stage of their career and learning journeys. Whether these individuals are in transition from education and/or training, in employment and wishing to up-skill, re-skill or change their career, or whether they are outside the labour market wishing to re-enter, high quality and impartial labour market information (LMI) is crucial to effective career decision-making. LMI is at the heart of UK Government reforms of careers service provision. Linking and opening up careers focussed LMI to optimise access to, and use of, core national data sources is one approach to improving that provision as well as supporting the Open Data policy agenda (see HM Government, 2012). Careers focussed LMI can be used to support people make better decisions about learning and work and improve the efficiency of labour markets by helping match supply with demand, and helping institutions in planning future course provision.
Setting the scene in the UK
Shifting policy:
Resources – operating within financial constraints and cutbacks, need to provide cost-effective services
Political priorities – in England, move away from offering separate services for YP and adults, new national careers services –
delivering models – integrating technology into all aspects of CEIAG practice is seen as a way to extending services and increasing access by offer flexibility in the way services are delivered, but also help in reducing costs by reducing demand for F2F services
Context:
Increasing use of technology by young people to seek out careers information and learn – more than half of young people in a recent government survey reported that they use the internet to learn
Web 3.0 offers new ways of delivering personalised content to individual users
New demands and expectations on CEIAG services by young people – digital natives – young people want access to online, interactive information
Current evidence:
there is more research of technology use in practice
Challenge of keeping up-to-date with technology as it changes so fast – digital immigrants have harder time in keeping skills up-to-date
Inconsistent terminology – ‘e-guidance’, ‘web-based guidance’ and ‘internet based guidance’, used interchangeably; need to define what these comprise (i.e. email, online chat, telephone, CAG etc.)
‘A greater integration of new information and communication technologies (ICT) in careers practice on a UK-
wide basis is being mediated by changes occurring within public, private and community sectors’
Ref: Bimrose et al., 2011, p. v
The UK Commission is bringing existing data sources together, such as from some of our key national surveys, to make high quality LMI more accessible to support individuals and businesses to make better and more informed decisions about careers and learning options
Potential sources that could add value:
ASHE
National Employer Skills Survey (NESS)
LFS Labour Force Survey
ASHE Annual Survey of Hours and Earnings
BRES Business Register and Employment Survey
ESS Employer Skills Survey
HANDOUT on LMI for All dataoverview
LFS Labour Force Survey
ASHE Annual Survey of Hours and Earnings
BRES Business Register and Employment Survey
ESS Employer Skills Survey