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DTSTAMP:20190719T085745Z
LOCATION:HG D 1.2
DTSTART;TZID=Europe/Stockholm:20190614T113000
DTEND;TZID=Europe/Stockholm:20190614T120000
UID:submissions.pasc-conference.org_PASC19_sess139_msa269@linklings.com
SUMMARY:Data Lifecycle Across Facilities, Ancillary Services, and Cross-Fa
 cility Workflows
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Chemistry and Materials\n\nData Lifecycle Across 
 Facilities, Ancillary Services, and Cross-Facility Workflows\n\nShankar\n\
 nThe dramatic growth in computational horsepower, resolution and speed of 
 detectors in instruments, and intelligence of machine-learning algorithms 
 have substantially increased the complexity of data generation and consump
 tion at computational, observational, and data facilities. Harnessing data
  necessitates development or retooling of infrastructure at each stage of 
 the data lifecycle and the development of cross-facility workflows that co
 nnect different stages of the data lifecycle by orchestrating data generat
 ion and consumption. Observational facilities can benefit by maximizing re
 tention of measured data and metadata for subsequent mining, writing data 
 into community-defined file formats, using scalable software for processin
 g, and collecting data in centralized repositories. Similarly, computation
 al and data facilities will need scientific data management software, user
 -friendly services for peer-reviewing and publishing data, and cataloging 
 services that simplify the curation, dissemination, discovery, and mining 
 of published data. Successful scientific discovery requires that researche
 rs take advantage of numerous ancillary services including visualization, 
 metadata, and federated access. These services, combined with the sophisti
 cated nature of the domain sciences, create a complex system with large da
 ta volumes, high-throughput execution requirements, “human-in-the-lo
 op” interactions, and heterogeneous hardware requirements. Cross-fac
 ility workflows can address these challenges and bring to bear the best re
 sources from the best institutions.
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