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Research Application/Framework

i2b2

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i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origins. This platform currently enjoys wide international adoption by the CTSA network, academic health centers, and industry.

ResearchStack

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ResearchStack is an SDK and UX framework for building research study apps on Android.

It is designed from the ground up to meet the requirements of most scientific research, including capturing participant consent, extensible input tasks, and the security and privacy needs necessary for IRB approval.

Is it similar to Apple's ResearchKit(TM)?

Yes, an overarching goal of ResearchStack is to help developers and researchers with existing apps on iOS more easily adapt those apps for Android.

MOLGENIS

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MOLGENIS is a modular web application for scientific data. MOLGENIS was born from molecular genetics research (and was called 'molecular genetics information system') but has grown, thanks too many sponsors and contributors, to be used in many scientifc areas such as biobanking, rare disease research, patient registries and even energy research. MOLGENIS provides researchers with user friendly and scalable software infrastructures to capture, exchange, and exploit the large amounts of data that is being produced by scientific organisations all around the world.

OBiBa

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OBiBa software consists of a suite of stand-alone applications that support various study's data management activities. These modular applications can be integrated to create a comprehensive information management and analysis system for individual studies.

As part of the Maelstrom Research program, OBiBa suite includes advanced software components enabling data harmonization and federation for study networks that aim to harmonize and share securely data among their members.

OpenSpecimen

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OpenSpecimen (formerly known as caTissue Plus) is a Free & Open Source biobank/biospecimen management software. At the heart of OpenSpecimen is that “biospecimens without high quality data is of no value”.

OpenSpecimen is used across the globe in some of the most respected biobanks of various sizes and diseases. OpenSpecimen streamlines management of biospecimens across collection, consent, QC, request and distribution. Finally, OpenSpecimen is highly configurable and customizable. E.g., adding a custom field or form can be done in minutes by a non-IT person.

SHIMMER

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Shimmer is free and open-source, so you can easily add your own integrations and audit existing ones. Not to mention, you can use it with any programming language.
Fast to deploy: Stop wasting time trying to get digital health data - quickly deploy Shimmer with a few commands both locally and in the cloud.

Nightscout

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Nightscout (CGM in the Cloud) is an open source, DIY project that allows real time access to a CGM data via personal website, smartwatch viewers, or apps and widgets available for smartphones.

OpenAPS - Open Artificial Pancreas System project

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The Open Artificial Pancreas System project (#OpenAPS) is an open and transparent effort to make safe and effective basic Artificial Pancreas System (APS) technology widely available to more quickly improve and save as many lives as possible and reduce the burden of Type 1 diabetes.

Tidepool

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We believe that you own your own diabetes data. It’s your disease, so it’s your data. If you would like to donate your data to an anonymous database, we’ll make that easy. If you’d like to share data with your doctor, we’ll make that easy, too.

We believe that diabetes data should be easily accessible through a secure, modern platform that enables a vibrant ecosystem of applications.

We believe in great design, that mobile and web applications should be elegant, intuitive and easy to use. We believe that with the right context, data can be meaningful and actionable.

OPAL

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OPAL Is a full stack web framework for building health care applications.

OPAL encourages rapid development, and elegant, pragmatic design.

Focussed on health care, it builds on years of research and design to
help you in building your app. It's free and open source.

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