To be aware of data quality issues and approaches for improving data quality
With regard to sharing data, there is sometimes a tension between efforts to increase the quality of services and improve outcomes by learning from data, and efforts to increase privacy. In terms of data management, organisations often want to improve the quality of their data to generate better information, but it’s challenging to invest time and resources into data systems and processes, particularly during times of financial pressure.
Good data management supports data sharing by providing clear information about data (e.g. its quality, representativeness, variable definitions, expectations of data subjects) and facilitating the processes that allow sharing (e.g. obtaining permissions, data validation, data de-identification).
Data sharing increases learning from data by allowing those with specialist expertise and/or different perspectives to analyse it, and by facilitating comparisons between services. Data sharing also reduces the costs and burden of data collection (e.g. by allowing data that has already been collected to be used instead of collecting it again).
Learning from data informs service improvement, because it provides evidence to test hypotheses and assumptions, and allows the effects of actions taken to be monitored. This is a means towards increasing the quality of services (e.g. safety, outcomes and/or experience of service users).
Including modules on:
- Understanding the requirements and options for gathering and sharing data
- Improving data quality
In relation to sharing outcome data, we hope the course will also provide an appreciation of the uncertainty that exists in the area, and thus how decisions can be made in the context of this uncertainty.
Who is this course suitable for?
This course is aimed at an audience with a mixture of experience in the subject, including practitioners, service managers, commissioners and researchers. This includes those who work with data, or are interested in how data management can support service improvement.
The course would also be helpful to anyone involved in submitting or sharing data, e.g. with the CORC central team, Department for Education, NHS Digital, research teams.
Please note, the prices below are subject to VAT.
|Full members||Associate members||Non-members|
Ben is the lead of CORC Informatics, which supports CORC’s member services and central team in processing and managing large data sets efficiently. He has particular experience in the fields of data handling and information governance. Current work with partnerships of organisations in the health, education and social care sectors aims to link data sources to consider service user outcomes from different perspectives. Before joining CORC, Ben managed data collection and report preparation for the child and adolescent mental health services payment system project, which involved supporting 20 pilot sites across England on improving data quality. Ben has previously worked at the London School of Hygiene & Tropical Medicine on research into health policy implementation and commissioning.
Related Training & Events
Webinar: Interpreting data from outcome measures
The course reviews key statistical concepts, methods for analysing data and displaying change, and approaches to working with and interpreting messy or poor quality data. Including modules on Unde…Read more