The Interactive Scientific Publishing (ISP) system was created to meet the Optical Society's need for a robust database system for sharing, processing and storing their journal submissions. The ISP enables authors to share not only their papers, but their datasets as well, encouraging interaction and reproducibility in papers.

The Give A Scan project, initiated by the Lung Cancer Alliance is the world's first patient-powered, publicly available archive of images and clinical data on lung cancer patients. All the data has been donated by patients in order to encourage more researchers to focus on lung cancer and to accelerate progress in the early detection, diagnosis and treatment of lung cancer which is now the leading cause of cancer death worldwide. This Midas installation currently hosts several longitudinal patient studies.

Kitware is teaming with researchers at Harvard Medical School to develop an open-source, cross-platform digital pathology system. The open-source digital pathology system will facilitate long-term data storage, without deterioration of the data; remote acquistion and monitoring of data to ease the burden on pathologists; and easy annotation directly on digital slides. As part of this work, to explore the data needs of digital pathology, Kitware is hosting several significant datasets that are available for interactive viewing. These advances will enable pathologists to more easily make notes, share information and collaborate with other pathologists.

The Insight Journal uses Midas, Kitware's open-source data management platform, to power its unique article publishing system. As an open access online publication, the Insight Journal emphasizes peer-review and reproducibility in its publications. Midas enables authors to submit their article accompanied by their code, parameters, and data, and then performs an initial review of the entire package. This first review is published with the article and encourages other reviewers to engage in active discussion with the author, who can submit updated code and material in response to comments. Midas provides the functionality behind the submission and review processes, and the infrastructure for community discussions.

The National Institute of Health awarded Kitware with the “High Throughput Web-based Image Analysis of Mouse Brain MR Imaging Studies” to develop a server-side processing infrastructure for the analysis of morphometry and connectivity for neuro-developmental and neuro-degenerative diseases.

Kitware is collaborating with the University of North Carolina to apply implementations of novel algorithms for brain morphometry analysis in small animal MRIs over large sets of data. Midas is used for the data archive and interface to the small animal image processing system. Ultimately non-programmer scientist will setup and run experiments using only their browser.