Data Crosscutting Requirements Review

Kleese van Dam, Kerstin¹  Shoshani, Arie¹  Plata, Charity² 

[1] Pacific Northwest National Lab. (PNNL), Richland, WA (United States);Pacific Northwest National Lab. (PNNL), Richland, WA (Un

关键词: data-intensive science;    data management;    data analysis;    data storage;    data volume;    data science;    ASCR;   

DOI  :  10.2172/1226419
RP-ID  :  PNNL--22639
PID  :  OSTI ID: 1226419
Others  :  Other: KJ0402000

美国|英语

来源: SciTech Connect

【 摘 要 】

In April 2013, a diverse group of researchers from the U.S. Department of Energy (DOE) scientific community assembled to assess data requirements associated with DOE-sponsored scientific facilities and large-scale experiments. Participants in the review included facilities staff, program managers, and scientific experts from the offices of Basic Energy Sciences, Biological and Environmental Research, High Energy Physics, and Advanced Scientific Computing Research. As part of the meeting, review participants discussed key issues associated with three distinct aspects of the data challenge: 1) processing, 2) management, and 3) analysis. These discussions identified commonalities and differences among the needs of varied scientific communities. They also helped to articulate gaps between current approaches and future needs, as well as the research advances that will be required to close these gaps. Moreover, the review provided a rare opportunity for experts from across the Office of Science to learn about their collective expertise, challenges, and opportunities. The "Data Crosscutting Requirements Review" generated specific findings and recommendations for addressing large-scale data crosscutting requirements.