Data publication with the structural biology data grid supports live analysis

Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Dat...

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Bibliographic Details
Main Authors: Meyer, Peter A., Socias, Stephanie, Key, Jason, Ransey, Elizabeth, Tjon, Emily C., Buschiazzo, Alejandro, Lei, Ming, Botka, Chris, Withrow, James, Neau, David, Rajashankar, Kanagalaghatta, Anderson, Karen S., Baxter, Richard H., Blacklow, Stephen C., Boggon, Titus J., Bonvin, Alexandre M. J. J., Borek, Dominika, Brett, Tom J., Caflisch, Amedeo, Chang, Chung-I, Chazin, Walter J., Corbett, Kevin D., Cosgrove, Michael S., Crosson, Sean, Dhe-Paganon, Sirano, Di Cera, Enrico, Eck, Michael J., Eichman, Brandt F., Fan, Qing R., Ferré-D'Amaré, Adrian R., Fromme, J. Christopher, Garcia, K. Christopher, Gaudet, Rachelle, Gong, Peng, Harrison, Stephen C., Heldwein, Ekaterina E., Jia, Zongchao, Keenan, Robert J., Kruse, Andrew C., Kvansakul, Marc, McLellan, Jason S., Modis, Yorgo, Nam, Yunsun, Otwinowski, Zbyszek, Pai, Emil F., Pereira, Pedro José Barbosa, Petosa, Carlo, Raman, C. S., Rapoport, Tom A., Roll-Mecak, Antonina, Rosen, Michael K., Rudenko, Gabby, Schlessinger, Joseph, Shamoo, Yousif, Sondermann, Holger, Tao, Yizhi J., Tolia, Niraj H., Tsodikov, Oleg V., Westover, Kenneth D., Wu, Hao, Foster, Ian, Fraser, James S., Maia, Filipe R. N C., Gonen, Tamir, Kirchhausen, Tom, Diederichs, Kay, Crosas, Mercè, Sliz, Piotr, Drennan, Catherine L., Schwartz, Thomas
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:en_US
Published: Nature Publishing Group 2017
Online Access:http://hdl.handle.net/1721.1/108692
https://orcid.org/0000-0001-5486-2755
https://orcid.org/0000-0001-8012-1512
Description
Summary:Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.