Real analysis

Determine your partners

When you want to start an analysis upon the LifeCycle catalogue. You have to find out which cohorts can supply the data you need to do the analysis. That way you know which cohorts need to do some actions in Opal to make the data available.

Managing your research data

You probably do not need all the data in the whole catalogue. So you have determine which data you actually need. At that moment you can create views. Each cohort has to to create the same view of the variables that you want to include. The manual to do this is places below.

• Create views for your research

To access the view you can create research users and attach them to the view. A description can be found here.

• Add user to distribute rights on the views

Start coding

When you are trying to solve a research question you have to start coding. Because you are working in a network of cohorts that participate in solving you research question you need a way to share your code. We use Github at this moment. The protocol to use Github is found here.

For each new research question create a new repository on https://github.com/lifecycle-project/

• For instance: https://github.com/lifecycle-project/new_research_question.git

You should maintain the following directory structure:

• R
  • research_question_module_1.R
  • research_question_module_2.R
  • research_question_module_3.R
• README.md

You can add a README.md to explain what you are doing on a research level explaining what question you are trying to answer and on a technical level to explain how to use the script.

All owners, that will be all people who are attached to the lifecycle-project organisation, can create new repositories and add code.