Part of the Cochrane Interactive Learning course on Conducting an Intervention Review, this module covers analysis of a range of types of data. This module teaches you about effect measures for dichotomous and continuous data, undertaking a meta-analysis, recognizing and managing heterogeneity. It also covers analysing other types of data and study designs.
Once the final list of articles for inclusion is determined, it is time to extract any relevant data. This requires careful planning to ensure it is managed appropriately (and in line with any ethics requirements). Some considerations might include:
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Alexandria tutorial - Finding, extracting and reporting data relevant to the review question 
There are various tools available for the extraction stage of your systematic review. Elamin et al. (2009) 
evaluate a range of tools that might be useful.
Some analysis packages that can also be used to manage extracted data include:
As with any data collection and reporting process, it is worthwhile keeping in mind basic data management principles:
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Monash also provides advice and guidelines relating to managing research data.
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You should also consider making your data open (fully or partially):
Open access data might even be a requirement, for some systematic review organisations and publications. There are many benefits to publishing and sharing your data. You can learn more through the Australian National Data Service (ANDS) .
