A Petabyte-scale Scientific Community Cloud

The OSDC enables scientific researchers to easily manage, share, and analyze large datasets.

What is the OSDC? >> Watch a Video

OSDC in brief

The Open Science Data Cloud provides the scientific community with resources for storing, sharing, and analyzing terabyte and petabyte-scale scientific datasets. The OSDC is a data science ecosystem in which researchers can house and share their own scientific data, access complementary public datasets, build and share customized virtual machines with whatever tools necessary to analyze their data, and perform the analysis to answer their research questions. It is a one-stop shop for making scientific research faster and easier.

Why is there a need?

With datasets growing larger and larger, researchers are finding that the bottleneck to discovery is no longer a lack of data but an inability to manage, analyze, and share their large datasets. Individual researchers can no longer download and analyze the important datasets in their scientific fields on their own computers. The goal of the Open Science Data Cloud is to remove the bottleneck to discovery by providing researchers with access to a variety of key datasets across scientific disciplines and the computing infrastructure to allow scientists to easily manage and share their data and analysis.>> read more

Featured on the OSDC

Bionimbus Bionimbus
Project Matsu Project Matsu
Tukey Tukey
What is the OSDC? What is the OSDC?



Environmental Data Commons Workshop, June 9th 2016

On June 9th, OCC partner the Center For Data Intensive Science (CDIS) will be hosting a full day workshop on Environmental Data Commons in Chicago, IL as part of their Data Commons Data Sharing workshop series. There will be sessions on environmental commons, services for environmental commons, environmental data commons applications, the OCC-NOAA Big Data Alliance, and interoperability of environmental commons, clouds, and repositories. To register and for more information including workshop location, agenda, and options for lodging, please visit: https://sites.google.com/site/environmentalcommons/ ... more ...

OCC at IEEE Big Data Conference

Maria Patterson, scientific lead for the Open Science Data Cloud and a researcher at UChicago working on the OCC's Project Matsu, will be attending the IEEE Big Data Service and Applications conference this week at Exeter College, Oxford, UK. This conference will bring together a wide variety of researchers focused on innovations in big data computing, service sharing, and big data applications in energy and environment, medical and healthcare, library, social media and networking, and education. The conference is also held in conjunction with several other IEEE conferences, including the 10th International IEEE Symposium on Service-Oriented System Engineering (SOSE), the 4th International Conference on Mobile Cloud Computing, Services, and Engineering, the IEEE International Symposium on Creative Computing (ISCC), the IEEE International Symposium on Software Crowdsourcing (ISSC), and the Second International Workshop On Education in the Cloud. Dr. Patterson will be presenting on Thursday during the Big Data in energy and then environment applications track about Project Matsu's work analyzing satellite imagery from NASA's Earth Observing-1 satellite using an "analytic wheel," which is an efficient reanalysis framework for large datasets. The Matsu Wheel allows many shared data services to be performed together to efficiently use resources for processing hyperspectral satellite image data and other, e.g., large environmental datasets that may be analyzed for many purposes. For more information about Project Matsu see the Matsu website or the arXiv paper on the Matsu Wheel. ... more ...

UCAR/Unidata Joins the OCC

We’re pleased to announce that UCAR/Unidata is now a member of the Open Commons Consortium! UCAR/Unidata will participate in the NOAA Data Alliance Working Group on the WG committee that will: Refine and implement the full activities of the working group, establish and reinforce alliance partnerships, and build a sustainable framework for the alliance; Work with OCC staff and OCC member staff to implement hardware, software, and networking requirements; and Meet with the user community and determine the datasets to be hosted in the NOAA data commons and tools to be used in the computational ecosystem surrounding the NOAA data commons. ... more ...

OCC at AMS Annual Meeting

The OCC will be present at the American Meterological Society (AMS) Annual Meeting. Dr. Maria Patterson, Scientific Lead for the Open Science Data Cloud and member of the Matsu and NOAA Data Alliance working groups, will be part of a panel discussion on the NOAA Big Data CRADAs. For all types of data added to the OCC NOAA Data Commons, we are to looking to gather a collection of open source tools (e.g., Python or R based) for exploratory visualization and analysis that can be provided to researchers in our commons and lower the barrier to entry for researchers who are re-using NOAA data for perhaps non-traditional purposes. If you are a researcher with experience handling NOAA data and would like to suggest friendly resources, let us know at noaa.crada@occ-data.org or talk to Dr. Patterson at the meeting. ... more ...

OCC at AGU Fall meeting

Dr. Maria Patterson, Scientific Lead for the Open Science Data Cloud will be present throughout the AGU Fall meeting. Stop by the informatics area and see poster #1856 on Monday from 3-6pm PST to see the poster on "Key Lessons in Building Data Commons" and learn more about the Project Matsu or NOAA Data Commons Working Groups. ... more ...

How can I get involved?


Access the Public Data Commons

The OSDC has 1 PB of publicly accessible data in a wide variety of disciplines. Interested researchers can freely access and download these data to their own machines or apply for resources to compute over the data within the cloud.

Contribute to OSDC


All of the software developed as part of the OSDC is open source and hosted on GitHub. You can directly help the scientific cloud computing community by contributing to the open source OSDC software stack.

Apply for Compute and Storage

Fill out a short proposal for an OSDC resource allocation. Allocations start at 16 dedicated cores and 1TB of storage, but scale depending on the project needs and level of organizational partnership.


Partner with us and add your own racks to the OSDC (we will manage them for you). Organizations can also join the Open Commons Consortium (OCC) which is made up of working groups, including the OSDC.

Contact Us

Questions? Comments? Suggestions? Contact us at info@occ-data.org.