UK Data Service data catalogue record for:
|Title:||Millennium Cohort Study, 2001-2003: Hospital of Birth: Special Licence Access|
|Series:||Millennium Cohort Study [Millennium Cohort Study: Special Licence Access]|
|Depositor:||University of London. Institute of Education. Centre for Longitudinal Studies|
University of London. Institute of Education. Centre for Longitudinal Studies
University of London. Institute of Education. Centre for Longitudinal Studies
Chintamanee Sanmukhiya undertook the bulk of the coding work.
The Department for Work and Pensions (DWP) Analytic and Services Branch Information Centre at Newcastle, who: identified the main Millennium Cohort Study (MCS) sample from Child Benefit records, and ran an opt-out exercise for MCS1; provided a similar service to enable the inclusion in MCS2 of 'new families' (eligible for inclusion in MCS1 but not identfied in the records until after the completion of the first survey); and assisted with tracing families who had moved, for both MCS1 and MCS2.
Members of the Office for National Statistics (ONS) funding consortium provided advice as well as funding.
Individual academic advisers:
Specialist advisers: Julia Brannen, Tim Cole, Leon Feinstein, Charlie Owen.
Members of the Centre for Longitudinal Studies (CLS) internal team: Neville Butler, John Bynner, Elsa Ferri, Ian Plewis, Peter Shepherd and Kate Smith.
Collaborators on the MCS included: Mel Bartley, Helen Bedford, Dermot Bowler, Leslie Davidson, Carol Dezateux, Harvey Goldstein, Kath Kiernan, Yvonne Kelly, Michael Marmot, Barbara Maughan, Alison McFarlane, Catherine Peckham, Chris Power, Ingrid Schoon and Marjorie Smith.
Members of the Millennium Cohort Study Advisory Group, for advice on the form and content of MCS1, MCS2 and MCS3.
The citation for this study is:
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|XML citation formats: CSL EndNote|
Abstract copyright UK Data Service and data collection copyright owner.The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:
Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see SN 5614).
Further information about the MCS can be found on the CLS website.
How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
A useful overview of the governance routes for applying for genetic and bio-medical sample data, which are not available through the UK Data Service, can be found at Governance of data and sample access on the METADAC (Managing Ethico-social, Technical and Administrative issues in Data Access) website.
|The Hospital of Birth: Special Licence Access data cover uncoded hospital of birth for MCS respondents. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access' section below). Coded hospital of birth data, subject to standard access conditions, are available as part of SN 5614, and users are strongly advised to use those instead. Those users who do wish to make an application for the Special Licence Access data should contact the HelpDesk for further details.
For the third edition (August 2013), updated data and a new version of the Hospital Coding Guide document were deposited. Some additional and amended coding has been carried out; see documentation for details.
The data cover maternity hospital episode, country, National Health Service (NHS) Trust, and hospital of birth for MCS respondents.
|Dates of fieldwork:||January 2001 - January 2003|
No spatial unit
|Kind of data:||
Individual (micro) level
The sample population for MCS was drawn from all live births in the UK over 12 months from 1 September 2000 in England and Wales, and for 59 weeks from 22 November 2000 in Scotland and Northern Ireland. This sub-sample was drawn from those responding to MCS1 who had reported successful infertility treatment.
The sample population for MCS was drawn from all live births in the United Kingdom over 12 months (from 1 September 2000 in England and Wales and for 59 weeks from 22 November 2000 in Scotland and Northern Ireland).
Four waves have been conducted to date: MCS1 (age 9 months), MCS2 (age 3 years), MCS3 (age 5 years) and MCS4 (age 7 years).
Purposive selection/case studies
|Number of units:||19,244 cases|
|Method of data collection:||
Compilation or synthesis of existing material
|Weighting:||See main MCS documentation for details of weighting.|
|Date of release:|
|First edition:||09 October 2007|
|Latest edition:||08 August 2013 (3rd Edition)|
|Copyright:||Copyright University of London. Centre for Longitudinal Studies|
The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage.
Additional special conditions of use also apply. See terms and conditions for further information. In addition, the UK Data Service is required to request permission from the depositor prior to supplying the data.
Since these data pose a higher risk of disclosure than data made available under the standard End User Licence they have additional special conditions attached to them that take the form of a Special Licence (SL). The SL requires the completion of an additional application form, agreement to the conditions of the SL, the signature(s) of the researcher(s), and the explicit permission of the data owners to release the data to the researcher(s). This is to ensure that the guarantee of confidentiality given to survey respondents is protected. SL applications are screened by the UK Data Archive and the data owners and data are only released to those researchers requiring data for statistical research purposes and who can justify their need for the SL data.
Researchers are required to keep the data under conditions of greater security than required under the standard End User Licence. The Microdata Handling and Security: Guide to Good Practice explains how to meet these conditions.
|Availability:||UK Data Service|
|Contact:||Get in touch|
|Title||File Name||Size (KB)|
|UK Data Archive Data Dictionary||5724_mcs_hospitalofbirth_protect_ukda_data_dictionary.pdf||20|
|CLS Confidentiality and Data Security Review||cls_confidentiality_and_data_security_review.pdf||40|
|MCS Hospital of Birth Coding Guide||mcs_hospital_of_birth_coding_guide.pdf||282|
|Study information and citation||UKDA_Study_5724_Information.htm||6|
By principal investigator(s):
Publications based on MCS may be found on the Publications page of the Centre for Longitudinal Studies website.
Resulting from secondary analysis:
Waldfogel, J. (2004) Social mobility, life chances and the early years, CASEpaper 88, Centre for Analysis of Social Exclusion, London School of Economics.
McKay, S. (2004) 'Charting change in the devolved administrations: assessing the evidence base', Benefits, 12, pp.183-191.
Rowlingson, K. and McKay, S. (2005) 'Lone motherhood and socio-economic disadvantage: insights from quantitative and qualitative evidence', Sociological Review, 53(1), pp. 30-49.
Kiernan, K. (2005) Non-residential fatherhood and child involvement: evidence from the Millennium Cohort Study, CASEpaper 100, STICERD, Centre for Analysis of Social Exclusion, London School of Economics.
Pickett, K.E., Shaw, R.J., Atkin, K., Kiernan, K.E. and Wilkinson, R.G. (2009 'Ethnic density effects on maternal and infant health in the Millennium Cohort Study', Social Science and Medicine, 69(10), pp.1476-1483.
Tunstall, H., Pickett K., and Johnsen, S. (2010) 'Residential mobility in the UK during pregnancy and infancy: are pregnant women, new mothers and infants 'unhealthy migrants'?' Social Science and Medicine, 71, pp.786-98.
Taulbut, M. and Walsh, D. (2013) Poverty, parenting and poor health: comparing early years' experiences in Scotland, England and three city regions, Glasgow Centre for Population Health, February. Retrieved August 2, 2013 from http://www.gcph.co.uk/assets/0000/3817/Poverty__parenting_and_poor_health.pdf