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This is the main documentation of the Koota project. This repository contains the server, but this wiki also coordinates among all related projects. Everything should be considered currently under development.
Useful pages:
- Features
- UserGuide
- ResearcherGuide
-
DevGuide - high level technical overview, how to work on the code, hints on installation
- ToDo (but check the last modified date, short-term issues in issue tracker)
Koota is a research data collection system. Data is collected from various devices, mostly from human subjects. There are three main use cases: Individuals actively collecting their own data, research studies involving researchers learning from many subjects, and finally a hybrid: individuals collect their own data, and donate it to research groups as they see fit, after it has been collected. There is a strong emphasis on privacy, transparency, and flexibility.
This project is under active development, and this repository should be considered a development repo. Currently, this source code is synonymous with the master instance. Future deployments will require some splitting of certain components.
This project is developed in the Complex Systems Group, CS Department, Aalto University, Finland.
Data can be collected from many different sources
- Mobile devices via the Aware Framework, which we are actively contributing to: Android and iOS
- Aware - general user instructions, AwareDev - our Aware work and todo lists, AwareSettings - customizing studies with Koota.
- PurpleRobot (Android)
- Murata sleep sensors
- Facebook, Twitter, Instagram via OAuth linking (under development). More OAuth links will be added eventually.
- Surveys - undocumented
- FunfJournal (Android)
If you are using Koota, please do not forget to reference it as:
Aledavood T, Triana Hoyos AM, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst RK Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype JMIR Res Protoc 2017;6(6):e110 URL: http://www.researchprotocols.org/2017/6/e110 DOI: 10.2196/resprot.6919 PMID: 28600276 PMCID: 5483244