The challenges of open data: emerging technology to support

learner journeys

Graham Attwell, PontydysguJenny Bimrose, IER University of

Warwick

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?

LMI to support learner journeys

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

Funded by:

Developed by consortia:

ObjectivesIDENTIFY: 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

Process of developing the LMI database

Create a repository of careers labour market information

Take lessons learnt from pilotAssess data sources in terms of usefulness for careers

and accessibilityLink up data sources using a common structure Test out database during hack and modding daysTo open data up for multiple interfaces for a range of

users

Process of development: Dynamic/Iterative

Data

Accessibility & Open Data

Stakeholders & Communication

Overview of data sourcesOffice for National Statistics – ASHE, LFS, Census of

Population, BRESUKCES – Working Futures and ESS dataBIS, DfE, & other bodies – access to data on

education and training courses DWP - access to detailed data on vacancies by

occupationDevolved nations – statistical agencies Eurostat, Cedefop, etc. – access to European dataOther data providers

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)

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…

Challenges in linking LMI sourcesData from range of sourcesClassification and descriptions of

occupations – use of SOCUse of Annual Survey of Hours and Earnings

dataLocal data and sample sizesForecasting data from Working FuturesAccess to job vacancy and skills dataNeed for education and skills opportunities

data

Emerging technology

Open and linked dataSupporting multiple platforms and devicesDeveloping data cubesAutomatic data upload (ETS)Facilitating and supporting third party

developers (API)Confidentiality and non disclosure

Lessons learnedTechnology 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

Tour of the api…

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

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

The big challenges ahead…

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

New services for education and training?

Can be used along side other, qualitative information… for example, icould

21

Data alongside career videos to encourage and inspire young people to think broadly about their careers.

http://icould.com/

…For a wide range of audiences…for example, RCU data dashboard

http://rcultd.co.uk/wf/

A summary dashboard presenting information on the current and future employment demand for UK occupations to link LMI to a curriculum strategy.

…In a variety of contexts…for example, Career Trax

Temporary extensionshows Career Traxembedded in the‘Right Move’ website.

http://career-trax.herokuapp.com

Next steps

Integration of more data, including:Short-term - Course data; Job vacancy dataLong-term - More on skills & abilities

(O*NET); European dataModding day to develop marketable appsImplementation of data cubes

How to get involved?

Find out more http://www.lmiforall.org.uk/

Follow us on Twitter @lmiforallBecome an early adopterStay in contact!

Final launch early summer 2015

For more information…Email:Jenny.Bimrose@warwick.ac.ukPeter.Glover@ukces.org.uk

Further information:http://www.lmiforall.org.uk/http://api.lmiforall.org.uk/