Abstract

Reproducibility is a preferred aim in any scientific research, including occupational health research. Datamanagement is an important and essential step in marching towards reproducibility. A good datamanagement helps us stay organized, improve transparency, quality and fosters collaboration. Here we discuss how to organize and prepare for data management, how data management facilitates interoperability and accessibility, followed by storing and dissemination of data. We wrap up by providing pointers on what needs to be included in the data management plans.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call