The Journal of Cell Biology (JCB), The Rockefeller University Press, and Glencoe Software are pleased to announce the release of the next version of the JCB DataViewer, the world’s first scientific image data publication system. First released in Dec 2008, the JCB DataViewer has been under continuous development to support new image data formats and provide new functionality for its users. Now, for the first time, scientists will be able to download the original image data associated with scientific articles published in The JCB.
The JCB DataViewer currently includes original image data (multi-dimensional image data taken directly from a microscope imaging platform) for 110 manuscripts. Liz Williams, Executive Editor of the Journal, said, Submission of original image data by authors to the JCB DataViewer has been steadily increasing since its launch in 2008. The scientific community clearly appreciates the value of this resource, and we hope they will embrace the new download functionality in order to maximize its utility.
The latest release allows JCB readers to download image data in OME-TIFF format, the open scientific image data format released by the Open Microscopy Environment (OME). This format is open, non-proprietary, and stores critical image metadata”information about the original imaging system and data acquisition parameters. This allows readers to access how the data included in a published paper were originally acquired and to re-analyze the data using their own software.
Mike Rossner, Executive Director of The Rockefeller University Press, said,
“The JCB was founded by a group of scientists who needed a journal to showcase their micrographs with the highest quality reproduction. Our commitment to innovative presentation and sharing of image data continues today with the JCB DataViewer.”
Jason Swedlow, President of Glencoe Software, Inc., and co-founder of OME, said,
“OME and Glencoe Software are excited to be a part of this important development and milestone in scientific publishing. OME’s infrastructure has many possible applications, and we are proud of our ongoing contributions to the functionality enabling access and sharing of original image data in science.”