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DATA SCIENCE: STATISTICAL AND COMPUTATIONAL METHODOLOGY FOR NASA'S BIG DATA IN SCIENCE

June 21, 2016

Big Data and High Performance Computing deeply permeates NASA’s Earth and space science endeavor. However, NASA science is not institutionally well-integrated with the large community of scholars and experts who develop the methodologies underlying modern Data Science: computer scientists, information technologists, applied mathematicians and statisticians. Technology transfer from and collaboration with these scholarly communities is insufficient to meet NASA’s needs, both within NASA centers and in the wider U.S. space science research community. This White Paper details some of these issues and recommends actions to improve methodologies used for current and future missions across all science domains. Examples include: compressed sensing for image and signal processing; Deep Learning neural networks for pattern recognition and classification; Virtual Reality visual exploration tools; and agile software development and other strategies from computer engineering.

Spotlight

Data Communication

Data Communication employs a staff of more than 150 experienced software engineers, technical experts, project managers and market specialists allocated in its headquarters in Athens and the two regional offices at Patra and Thessaloniki. The sales channel is both direct (own sales team) and through an authorized network of more than 100 qualified resellers who promote and support locally the company's software products, covering the whole of Greece. Data Communication is an ISO 9001 certified company for its designing/developing processes as well as for its promotion and customer support processes. In addition, for the management of software projects as well as the quality assurance of processes and deliverables, the company applies Microsoft's Sure Stepmethodology, tailored to the needs of Greek businesses.

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DATA SCIENCE: STATISTICAL AND COMPUTATIONAL METHODOLOGY FOR NASA'S BIG DATA IN SCIENCE