An introduction to using
linked administrative data for social & health research
|
Latest news...
27 May 2017: Flyer available 20 Nov 2017: Course fully booked 01 Dec 2017: Course completed by 21 students |
The course offers a theoretical and practical introduction to accessing and working with linked administrative data, covering topics including: ethics and confidentiality, public engagement, the access process, researcher accreditation, working within a safe setting, methods for linking data, potential issues with using administrative data and methods for dealing with this. |
ATTENDANCE FEES
£250: PhD student registered at a UK university
£500: all others
Fees cover: course materials (course book*), breakfast / lunch every day, evening meal Thursday 30 November
£250: PhD student registered at a UK university
£500: all others
Fees cover: course materials (course book*), breakfast / lunch every day, evening meal Thursday 30 November
Audience
Interested in using linked administrative data in your research but don’t know what data is out there, how to access it, or if you have the skills to do this type of analysis? If you are a social researcher with experience of analysing survey data, or if you already work with administrative data but want to analyse multiple administrative datasets linked together, then this course is for you.
Course Outline
The course introduces administrative data, describing what it is, some of the particular problems in working with this type of data and how to deal with this. Theoretical sessions are backed up by hands-on practical sessions, using R or Stata to write syntax to prepare linked data files for analysis, document workflow, identify data quality issues, and deal with missing data.
There are sessions on: indexing, linking and joining datasets; working with dates and times; an introduction to descriptive and inferential statistics for administrative data; and methods for dealing with missing data. There are also be sessions on how to apply for access to linked data, and secure data access within a safe setting, as well as the ethical, confidentiality and disclosure issues around using this type of data. A data showcase session from data controllers gives a flavour of the type of data that is available. Current researchers highlight their research using linked administrative data and describe the advantages of this approach, as well as the problems they have encountered and the lessons learned.
By the end of this course, participants will have the skills to identify, access and prepare linked administrative data for analysis.
Interested in using linked administrative data in your research but don’t know what data is out there, how to access it, or if you have the skills to do this type of analysis? If you are a social researcher with experience of analysing survey data, or if you already work with administrative data but want to analyse multiple administrative datasets linked together, then this course is for you.
Course Outline
The course introduces administrative data, describing what it is, some of the particular problems in working with this type of data and how to deal with this. Theoretical sessions are backed up by hands-on practical sessions, using R or Stata to write syntax to prepare linked data files for analysis, document workflow, identify data quality issues, and deal with missing data.
There are sessions on: indexing, linking and joining datasets; working with dates and times; an introduction to descriptive and inferential statistics for administrative data; and methods for dealing with missing data. There are also be sessions on how to apply for access to linked data, and secure data access within a safe setting, as well as the ethical, confidentiality and disclosure issues around using this type of data. A data showcase session from data controllers gives a flavour of the type of data that is available. Current researchers highlight their research using linked administrative data and describe the advantages of this approach, as well as the problems they have encountered and the lessons learned.
By the end of this course, participants will have the skills to identify, access and prepare linked administrative data for analysis.
|
E: [email protected] T: +44 (0)131 651 7847 W: adrn.ac.uk/centres/scotland twitter.com/adrc_scotland @adrc_scotland |
|
Social science using administrative data for public benefit |
* course booklet will now be incorporated - with other materials previously planned for a usb stick - into a substantial printed course book, so no usb stick will be supplied
