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Introduction EDINA & National Data Services http://edina.ac.uk/ Stuart Macdonald. NCSR Survey Skills Programme 5 & 6 October, 2010. Data Library - http://www.ed.ac.uk/is/data-library. Data Library Resources. Large-scale social science survey data
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Introduction EDINA & National Data Services http://edina.ac.uk/Stuart Macdonald NCSR Survey Skills Programme 5 & 6 October, 2010
Data Library Resources • Large-scale social science survey data • Country and regional level time series data • Population and Agricultural Census data • Data for mapping • Resources for teaching • Opening hours - 9.30am – 5.30pm (Tues & Thurs) 5 Buccleuch Place, 2nd floor Tel.: 0131 651 1431 or 0131 651 1744 Email: datalib@ed.ac.uk
Applied Quantitative Methods Network (AQMeN)- http://aqmen.ac.uk/ • The Applied Quantitative Methods Network (AQMeN) is led by a team of academics from eight Universities in Scotland. It is a three year project funded jointly by the ESRC and the Scottish Funding Council (SFC) as part of the ESRC Quantitative Methods Initiative. • The main objective is to build capacity in the use of quantitative methods amongst the social science community in Scotland and beyond. • Data Library host and manage the AQMeN website • AQMeN provide access to: data analysis tools; software; teaching resources; data resources, research skills, communication and dissemination resources • Plus links to training & events and an online discussion forum
EDINA National Data Centre– http://edina.ac.uk • Mission statement: “..to enhance the productivity of research, learning and teaching in UK higher and further education..” • Networked access to a range of online resources for UK FE and HE • Services free at the point of use for use by staff and students in learning, teaching and research through institutional subscription • Focus is on service but also undertake R&D (projects services) • delivers about 20 online services • has about 10 major projects (including services in development) • employs about 80 staff (Edinburgh & St Helens)
Founded in 1967 and based at the University of Essex • ESRC / JISC-funded • Houses several thousand social science and humanities datasets • Provides resource discovery and support for secondary use of quantitative and qualitative data in learning, teaching and research. • More recently it has worked with environmental and medical data sources. • Services provided include: • Economic and Social Data Service • History Data Service • UK Census portal • Secure Data Service • Survey Question Bank UK Data Archive – http://www.data-rchive.ac.uk/
Economic and Social Data Service - http://www.esds.ac.uk/ • The ESDS is a distributed service, based on a collaboration between four key centres of expertise: • UK Data Archive (UKDA), University of Essex • Institute for Social and Economic Research (ISER) , University of Essex • Manchester Information and Associated Services (MIMAS), University of • Manchester • Cathie Marsh Centre for Census and Survey Research (CCSR), University of • Manchester • It provides an integrated service offering enhanced support for the secondary use of qualitative and quantitative data across the research, learning and teaching communities
Interaction data involve flows of individuals in the UK between origins and destinations. These flows are either the residential migrations of individuals from one place of usual residence to another or of commuters making journeys from home to workplace via CIDER The Samples of Anonymised Records (SARs) are a sample of individual person-level records drawn from the 1991 and 2001 Census databases that have been anonymised. Each file contains a broad range of socio-demographic characteristics for respondents. Longitudinal studies are data sources that contain observations of the same research units over a period of time – e.g. ONS Longitudinal Study of England and Wales, Scottish Longitudinal Study – linking census data to vital statistics via CELSIUS
Pics from Flickr (creative commons attribution) – credits include: D Sharon Pruitt Thank You stuart.macdonald@ed.ac.uk datalib@ed.ac.uk