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ONS’ approach to microdata
More confidential, more secure
Norelease
Virtualmicrodatalaboratory
Speciallicence WebUKDA
Less confidential, easier access
Business data,Census data
Notanonymised
Census,health data
GHSAggregate
data
E-procurement in Manufacturing Businesses
Source, ONS 2000 ABIVA/ employee (£)
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
No e-Commerce e-Sellers e-Buyers
Company minimum wage
Figure 7: Company minimum wage for all companies
0
500
1,000
1,500
2,000
2,500
3.0
to 3
.1
3.5
to 3
.6
4.0
to 4
.1
4.5
to 4
.6
5.0
to 5
.1
5.5
to 5
.6
6.0
to 6
.1
6.5
to 6
.6
Company minimum wage (10p bands)
Num
ber o
f com
pani
es
1998
1999
2000
2001
2002
2003
2004
2004
2003
2002
2001
1999
/200
0
£5.00
£6.00£6.50
£5.50
Multinational Effect in Manufacturing
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
All UK All Foreign UK Non-Multinationals
UK Multinationals
VA/Employee (£)
Lots of data to share...
• Annual Respondents Database 73-04– production 73-04 construction 93-04 services 97-04
• NES 86-03 & NESPD 75-03, ASHE 1997-2005• Annual Inquiry into FDI 96-02• eCommerce Survey 2000-4• Annual and Quarterly Investment surveys 98-02• Business Expenditure on R&D
et cetera...
• plus OGD surveys– ESS, LTW, CIS. WERS financial and WERS/ARD
…but the downside:
• access limited to ONS sites• datasets large, unwieldy, complex, inconsistent• delays in developing documentation
Research Use of Disclosive Data
• Purpose of the research– Statistical and not administrative– For “ONS benefit”
• Limits on data use– Restricted access outside ONS– Disclosure control of all results before release off-site
• Benefits of use– Gets more out of existing data sources for
• ONS - research and quality improvement• Government – increasing importance for evidence-based
policy making• Academia/NGOs – fulfilling ONS’ public service remit
• safe projects• safe people• (safe data)• safe settings
• safe kit• safe places
• safe outputs
Four (plus one) safety levels
protection against deliberate disclosureprotection
against accidental disclosure
safe projects
• statistical not administrative use
• for “ONS Benefit”
• no private benefit
• no conflict of interest
safe people
• Civil servants covered by a Ministerial Direction• Academics employed by an approved institution
– universities– research institutes
• In principle: PhD students• Under trial:
– private profit-making companies– Foreign researchers
• Not at all: private individuals
building precedents
safe settings - the BDL virtual data lab
Dataread only
work arearead-write
Secure lab
Logs in to server
only screen shots,no data
Researcher
automatic transfer
Input Output
Input Output
archiving of all transfers
BDL staff
Direct access
to server
Safe outputs – disclosure control
• All on-site researchers required to undergo training programme
– 30 minutes legal background– 10 minutes lab use– 80 minutes SDC
• 12-page SDC- Rules Explained• All under continuous development
– Internal sources – improving our responsiveness– External sources – new issues arising
Data structure
enterprise
local unit
local unit
local unit
local unit
reporting unitEnterprise group
Datasets
Annual Respondents Database
1973-2003, annual
Structural business survey
Quarterly Capital Expenditure Survey
2000-2004, quarterly
Small regular data on investment
E-commerce survey 2000-2002, quarterly
Ecommerce qualitative data
Business Expenditure on R&D
1994-2002, annual
R&D for large spenders
survey-specific reporting unit
Business Spending on Capital Items
2000-2002, annual
Larger survey of very detailed capex data
Community Innovation Survey waves 2&3
1994, 1998 Qualitative data on product and process innovation and funding
Employer Skills Survey/Learning and Training at Work
ESS 1999/2001
LTW 2000/1
Qualitative skills surveys, voluntary
local unit
Annual Inquiry into FDI 1996-2002, annual
Census of all FDI activity
enterprise group
contact details
The BDL team:
Address:
Business Data Linking
Office for National Statistics
1 Drummond Gate
London SW1V 1QQ
0207 533 5975/5286
Newport: Felix Ritchie London: Gian Fazio Emma Edworthy Katherine Lam
Joseph Robjohns