The Earth as seen from space.

Open Science at NASA

NASA is making a long-term commitment to building an inclusive open science community over the next decade. Open-source science is a commitment to the open sharing of software, data, and knowledge (algorithms, papers, documents, ancillary information) as early as possible in the scientific process.

Open Principles

The principles of open-source science are to make publicly funded scientific research transparent, inclusive, accessible, and reproducible. Advances in technology, including collaborative tools and cloud computing, help enable open-source science, but technology alone is insufficient. Open-source science requires a culture shift to a more inclusive, transparent, and collaborative scientific process, which will increase the pace and quality of scientific progress.

Open science Facts

Learn More About Open Science

NASA’s Transform to Open Science (TOPS) initiative helps people understand and implement open science practices in their own work. This initiative created Open Science 101, a free online training course to give researchers, academics, and the public a practical working knowledge of open science principles. 

Take Open Science 101
Students sit in front of a panel of speakers at the Kennedy Space Center.

Why Do Open Science?

●  Broadens participation and fosters greater collaboration in scientific investigations by lowering the barriers to entry into scientific exploration
●  Generates greater impact and more citations to scientific results

Learn More About the Benefits of Open Science
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Open Science Features and Events

This image of Perseverance's backshell and parachute was collected by NASA's Ingenuity Mars Helicopter during its 26th flight on April 19, 2022.

Mapping the Red Planet with the Power of Open Science

Scientists at NASA’s Jet Propulsion Laboratory used novel mapping techniques to direct the Perseverance Mars rover and the Ingenuity helicopter — and they did it all with open-source tools. 

Five orange stars are connected with blue lines in a V-like shape, like a diagram of the constellation of Indus. Each of the stars is labeled with one of the NASA Science Mission Directorate divisions: astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science.

NASA-IBM Collaboration Develops INDUS Large Language Models for Advanced Science Research

A team of NASA and IBM experts has produced INDUS, a comprehensive suite of large language models (LLMs) tailored to help research in five science areas.

Headshot of Rahul Ramachandran.

Marshall Research Scientist Enables Large-Scale Open Science

Rahul Ramachandran, a senior research scientist at NASA’s Marshall Space Flight Center and scientific data management expert, is helping researchers to use data more effectively through AI models.

The four astronauts from the Inspiration4 commercial crew mission smile while wearing their spacesuits.

NASA’s Repository Supports Research of Commercial Astronaut Health

Data from the the Inspiration4 mission has led to the first comprehensive, open-access database to include commercial astronaut health information. 

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