BloodPAC Releases its First Public Accessible Dataset

BloodPAC 1st anniversary

We are thrilled to announce that the Blood Profiling Atlas in Cancer Consortium (BloodPAC) has released an initial public accessible dataset. This public pre-analytical minimal technical data elements (MTDEs) dataset summarizes the initial submission of BloodPAC members' projects and aims to facilitate cross analysis and improve the usability of the BloodPAC commons for liquid biopsy research.

The BloodPAC Data Commons is operated in partnership with the Center for Data Intensive Science (CDIS) at the University of Chicago. “To truly accelerate the development of liquid biopsy for patient benefit, we can’t afford to duplicate efforts. Part of the power of the BloodPAC Data Commons is that it is based on the data sharing principles of the Open Commons Consortium (OCC) and shares the same APIs as the NCI Genomic Data Commons (GDC), so that applications and tools can easily analyze data from both commons,” said Dr. Robert Grossman, founder and director of OCC . “That allows the research community to build on and amplify the power of accumulated data.”

The MTDE dataset can be accessed here, it can be downloaded as a zip file containing csv files that representing each MTDE count. There is also a data browser accompanying where one can review tables and visualizations of each data field.

Visit the BloodPAC page to learn more. Find the full press release here.

OCC at the 98th AMS Annual Meeting

AMS

We are pleased to announce that Dr. Zac Flamig, a postdoc at the Center for Data Intensive Science at the University of Chicago and scientific lead for the OCC NOAA Big Data Project is participating in a number of events at the 98th Annual Meeting of the American Meteorological Society (AMS).

Highlights include:

GOES-16 is now operational at GOES-East

GOES-16-east

We are very pleased that the GOES-16 satellite is now in operational orbit in its eastern location.

The GOES-16 is now at the GOES-East location and has officially joined NOAA’s operational observation network, providing forecasters with sharper, more defined images of severe storms, hurricanes, wildfires and other weather hazards in near real-time 24/7.

To read the complete news release, vist NOAA.

Recently, Nathaniel Lash and Neil Bedi leveraged the GOES-16 data and tools hosted by the OCC in a data driven journalism piece on Hurricane Irma featured in the Tampa Bay Times. Learn more about using the GOES-16 data and community tools on the Environmental Data Commons website.

OCC and CDIS @ SC17

SC17

We're pleased to announce our presence at the annual Super Computing conference. This year's conference will be in Denver, Colorado and the OCC and the Center for Data Intensive Science will showcase:

  • innovative applications of data science in biology, medicine, health care, and the environment;
  • new releases of data commons and data peering technology that support research communities, including specialized commons for cancer genomic data, liquid biopsy research, brain disorders, weather data, and satellite imagery;
  • data intensive computing systems;
  • high performance analytics;
  • and a Thursday Birds-of-a-Feather session on Data Commons led by Dr. Robert Grossman in room 405-406-407.

If you're in Denver and attending the conference, please stop by booth #1653, ask for a demonstration, and learn more about how we've been making data intensive research easier and more accessible. We'll be giving away free gourmet coffee, CDIS wine stoppers, and OCC first-aid kits. Get yours while they last!

OCC joins DataCite

DataCite

We are very pleased to announce that OCC is joining DataCite, a leading global non-profit organization that provides persistent identifiers (DOIs) for research data.

As a DataCite Member, OCC will act as a DOI allocating agent and enable data owners, stewards, or archives to assign persistent identifiers to research data. Being able to assign DOIs to data and collections of data and providing index and search capability is crucial to the OCC mission to support reproducible research.

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