Resources
MSF OCA Research Committee is committed to bringing quality research work to the movement and beyond. On this page, you will find templates and tools prepared to facilitate research work processed through MSF OCA.
Study Stages
Study stage |
Definition |
Conditions |
Initiated |
Study was initiated |
|
Implemented |
The study was implemented and data collection was completed |
|
Analysed |
Study documentation is analyzed and completed |
|
Published |
The study is published on the MSF Data Sharing Platform |
|
Disseminated |
Study articles, presentations, and abstracts are disseminated and data sharing is possible |
|
Impact |
Study Policy changes and new guidance are completed |
|
Documents for Platform User: data requests
These documents are required for a study to be processed in MSF OCA research system:
- Data Request Template: This document needs to be completed by all users requesting data set they have no access to.
- Data Sharing Agreement : This document requires for further specifications on your methodology and data-sharing strategy.
Documents for Study Coordinators and Primary Investigators
These documents strive to make the research objective and subsequent rights transparent for data sources:
- Consent Request template : This document is the starting point to all research activities. The details of your research such as location, methodology, topic, and duration will be required.
- Concept Paper : This document is the starting point to all research activities. The details of your research such as location, methodology, topic, and duration will be required.
- Microsoft OneDrive Know-How : This document provides a summary explanation on the use of Microsoft OneDrive
- Good Practices in R-Project : This document provides an overview of good practices in using the R statistical programme and dataset administration.
- Nexo platform data administration : This document outlines guidance and tips on data collection, administration and publication process on the Nexo platform.
- Bandwidth management: This document provides tips on managing synchronization in low bandwidth contexts.
Tools
The following tools have been prepared for researchers to guide their data management burden.
R4Epis
R-package: Clean dataset.