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?



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 ...

OCC and CDIS @ SC15

We're pleased to announce our presence at the annual Super Computing conference. This year's conference will be in Austin, TX and the OCC and the Center for Data Intensive Science will showcase innovations in: data science applications in biology, medicine, health care, and the environment; data commons and data peering supporting numerous research communities, including specialized commons for cancer genomic data, weather data, and satellite imagery; data intensive computing systems; and high performance analytics. ... more ...

HDF Group Joins the OCC

We’re pleased to announce that The HDF Group is now a member of the Open Commons Consortium! The HDF Group 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 ...

From Clouds to Commons

Robert L. Grossman Director, Open Commons Consortium (OCC) The Open Cloud Consortium began operations seven years ago in 2008, which is a long time in technology. Our mission has remained the same -- to provide research infrastructure to facilitate discoveries and insights over large datasets. In 2008, the use of cloud computing to support discovery over large research datasets was new, as was technology for data intensive computing, as distinguished from compute intensive computing used by the high performance computing community. Support by NSF for big data was still 3 to 4 years in the future. The Open Science Data Cloud (OSDC) that began operations in 2010 is today still one of the largest scale science clouds in operations. The OSDC has provided millions of core hours to hundreds of investigators who have made discoveries in science, medicine, health care and the enironment. ... 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.