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Big Data as a new source of Labour Market Information
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Big Data as a new source of Labour Market Information

Big Data as a new source of Labour Market Information

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Please answer all questions.

1. Which of the following best describes the organisation you work for?

1. Which of the following best describes the organisation you work for?

Labour market research institute

Skills Advisory Panel

Local Enterprise Partnership

LEP Employment and Skills Board

Higher education institution

Further education institution

Growth Hub

Enterprise Zone

Sector Skills Council

Industrial Skills Partnership

Industry Training Board

National Skills Academies

Federation for Industry Sector Skills and Standards

Other (Please state)

If other please state:

2. Are you a user of quantitative information (e.g. at least tables of data)?

2. Are you a user of quantitative information (e.g. at least tables of data)?

Yes

No

3. Is your organisation a user of quantitative information?

3. Is your organisation a user of quantitative information?

Yes

No

4. If you are a user can you answer for?

4. If you are a user can you answer for?

Your organisation

Only you

5. If you are NOT A USER can you answer for your organisation?

5. If you are NOT A USER can you answer for your organisation?

Yes

No

If no to [5], please go to end of questionnaire and click 'Send Form'.

If you are answering for your self read the questions as if they relate to you / If you are answering for your organisation read the questions as if they relate to your organisation:

6. If any, what are the (up to five) main quantitative data sets you/your organisation use(s) directly or indirectly (e.g. you use tables prepared from them):

1:

2:

3:

4:

5:

7. Do you / your organisation (click as many as suitable):

7. Do you / your organisation (click as many as suitable):

Download statistics from large micro data sets (e.g. surveys or administrative data)

Match different large micro data sets together

Use the ONS Virtual Laboratory for confidential data set analysis

Use published tabular data

Use qualitative information

Employ labour market research institutes or consultancies to do this work

Scrape information from online sites (e.g. social media)

8. Which measures (up to 5 items of labour market information) do you feel are weakest your / your organisation’s purposes:

1:

2:

3:

4:

5:

9. Are they the weakest because (click as many as suitable):

9. Are they the weakest because (click as many as suitable):

Data do not exist on the topic or measures I/my organisation require(s)

Timeliness of the data

Granularity (e.g. the level of detail / disaggregation) of the data

The need to use proxies for the exact variables your organisation requires

Other please specify

If other, please specify:

10. For which labour market issue is the data weakest?

Thank you for completing the questionnaire please click 'Send Form'

Privacy notice

This form is anonymous. No data which personally identifies you is collected on the form. We have taken no record of the source of your response. However, if you want to discuss your responses to this questionnaire or ask Derek Bosworth questions about Big Data and the areas his research has identified for Big Data in labour market information, please email him on: derek.bosworth@warwick.ac.uk.

The University of Warwick is the Data Controller of any information you have entered on this form and is committed to protecting the rights of individuals in line with Data Protection Legislation. The University's Data Protection webpages provide further information on your rights and how the University processes personal data. If you wish to submit a data subjects rights request, make a complaint or report a suspected personal data breach, please contact the University’s Data Protection Officer by email at infocompliance@warwick.ac.uk.

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Contact us

Warwick Institute for Employment Research
University of Warwick, Coventry, CV4 7AL, United Kingdom
Tel: +44 (0)24 7652 3284
Email: ier at warwick dot ac dot uk

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Page contact: Luke Bosworth Last revised: Wed 26 Feb 2020

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