This guide serves as a step-by-step reference for using Colandr. Visit colandrcommunity.com or view the webinar on the right to learn more.
The library offers one-on-one assistance to UH students, faculty, staff, and affiliates. For advanced troubleshooting, please contact Colandr directly at colandrteam@gmail.com.
What is Colandr?Colandr is a free, web-based, open-access tool for conducting evidence synthesis projects, such as systematic and scoping reviews. It is not domain-specific; that is, it can be used for all different subject areas. Colandr can be used collaboratively with teams of any size. This tool can also be used throughout multiple stages of the systematic review process: protocol development, citation deduplication, article screening, data extraction and coding, and manuscript development. Data from Colandr can be downloaded into a CSV file and can be used to create tables. |
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How does Colandr work?Colandr uses machine learning to facilitate evidence synthesis. The initial setup of Colandr is essential in ensuring these capabilities and full functionality. This guide aims to describe the major steps in detail. Visit colandrapp.com to get started. |
Cheng, SH., Augustin, C., Bethel, A., Gill, D., Anzaroot, S., Brun, J., DeWilde, B., Minnich, R., Garside, R., Masuda, Y., Miller, DC., Wilkie, D., Wongbusarakum, S. and McKinnon, MC. (2018), Using machine learning to advance synthesis and use of conservation and environmental evidence. Conservation Biology, 32: 762-764. doi:10.1111/cobi.1311
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