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Use Cases and Requirements

Click on the linked document below to download a copy of the use case and requirements documents

NOTE: This document listing is being served via a USNISTGOV Github repository. You may receive a notice that you are leaving the NIST website.

Government Operation

1. M0147: Census 2010 and 2000 -- Title 13 Big Data; Vivek Navale and Quyen Nguyen, NARA
2. M0148: National Archives and Records Administration Accession NARA, Search, Retrieve, Preservation; Vivek Navale & Quyen Nguyen, NARA
3. M0219: Statistical Survey Response Improvement (Adaptive Design); Cavan Capps, U.S. Census Bureau
4. M0222: Non-Traditional Data in Statistical Survey Response Improvement (Adaptive Design); Cavan Capps, U.S. Census Bureau
 
 Commerical
5. M0175: Cloud Eco-System, for Financial Industries (Banking, Securities & Investments, Insurance) transacting business within the United States; Pw Carey, Compliance Partners, LLC
6. M0161: Mendeley -- An International Network of Research; William Gunn, Mendeley
7. M0164: Netflix Movie Service; Geoffrey Fox, Indiana University
8. M0165: Web Search; Geoffrey Fox, Indiana University
9. M0137: IaaS (Infrastructure as a Service) Big Data Business Continuity & Disaster Recovery (BC/DR) Within A Cloud Eco-System; Pw Carey, Compliance Partners, LLC
10. M0103: Cargo Shipping; William Miller, MaCT USA
11. M0162: Materials Data for Manufacturing; John Rumble, R&R Data Services
12. M0176: Simulation driven Materials Genomics; David Skinner, LBNL
 
 Defense
13. M0213: Large Scale Geospatial Analysis and Visualization; David Boyd, Data Tactics
14. M0214: Object identification and tracking from Wide Area Large Format Imagery (WALF) Imagery or Full Motion Video (FMV) -- Persistent Surveillance; David Boyd, Data Tactics
15. M0215: Intelligence Data Processing and Analysis; David Boyd, Data Tactics
 
 Healthcare and Life Sciences
16. M0177: Electronic Medical Record (EMR) Data; Shaun Grannis, Indiana University
17. M0089: Pathology Imaging/digital pathology; Fusheng Wang, Emory University
18. M0191: Computational Bioimaging; David Skinner, Joaquin Correa, Daniela Ushizima, Joerg Meyer, LBNL
19. M0078: Genomic Measurements; Justin Zook, NIST
20. M0188: Comparative analysis for metagenomes and genomes; Ernest Szeto, LBNL (Joint Genome Institute)
21. M0140: Individualized Diabetes Management; Ying Ding, Indiana University
22. M0174: Statistical Relational Artificial Intelligence for Health Care; Sriraam Natarajan, Indiana University
23. M0172: World Population Scale Epidemiological Study; Madhav Marathe, Stephen Eubank or Chris Barrett, Virginia Tech
24. M0173: Social Contagion Modeling for Planning, Public Health and Disaster Management; Madhav Marathe or Chris Kuhlman, Virginia Tech
25. M0141: Biodiversity and LifeWatch; Wouter Los, Yuri Demchenko, University of Amsterdam
 
 Deep Learning and Social Media
26. M0136: Large-scale Deep Learning; Adam Coates, Stanford University
27. M0171: Organizing large-scale, unstructured collections of consumer photos; David Crandall, Indiana University
28. M0160: Truthy: Information diffusion research from Twitter Data; Filippo Menczer, Alessandro Flammini, Emilio Ferrara, Indiana University
29. M0211: Crowd Sourcing in the Humanities as Source for Big and Dynamic Data; Sebastian Drude, Max-Planck-Institute for Psycholinguistics, Nijmegen The Netherlands
30. M0158: CINET: Cyberinfrastructure for Network (Graph) Science and Analytics; Madhav Marathe or Keith Bisset, Virginia Tech
31. M0190: NIST Information Access Division analytic technology performance measurement, evaluations, and standards; John Garofolo, NIST
 
 The Ecosystem for Research
32. M0130: DataNet Federation Consortium DFC; Reagan Moore, University of North Carolina at Chapel Hill
33. M0163: The 'Discinnet process', metadata <-> big data global experiment; P. Journeau, Discinnet Labs
34. M0131: Semantic Graph-search on Scientific Chemical and Text-based Data; Talapady Bhat, NIST
35. M0189: Light source beamlines; Eli Dart, LBNL
 
 Astronomy and Physics
36. M0170: Catalina Real-Time Transient Survey (CRTS): a digital, panoramic, synoptic sky survey; S. G. Djorgovski, Caltech
37. M0185: DOE Extreme Data from Cosmological Sky Survey and Simulations; Salman Habib, Argonne National Laboratory; Andrew Connolly, University of Washington
38. M0209: Large Survey Data for Cosmology; Peter Nugent, LBNL
39. M0166: Particle Physics: Analysis of LHC Large Hadron Collider Data: Discovery of Higgs particle; Michael Ernst BNL, Lothar Bauerdick FNAL, Geoffrey Fox, Indiana University; Eli Dart, LBNL
40. M0210: Belle II High Energy Physics Experiment; David Asner & Malachi Schram, PNNL
 
 Earth, Environmental and Polar Science
41. M0155: EISCAT 3D incoherent scatter radar system; Yin Chen, Cardiff University; Ingemar Haggstrom, Ingrid Mann, Craig Heinselman, EISCAT Science Association
42. M0157: ENVRI, Common Operations of Environmental Research Infrastructure; Yin Chen, Cardiff University
43. M0167: Radar Data Analysis for CReSIS Remote Sensing of Ice Sheets; Geoffrey Fox, Indiana University, 
44. M0127: UAVSAR Data Processing, Data Product Delivery, and Data Services; Andrea Donnellan and Jay Parker, NASA JPL
45. M0182: NASA LARC/GSFC iRODS Federation Testbed; Brandi Quam, NASA Langley Research Center
46. M0129: MERRA Analytic Services MERRA/AS; John L. Schnase & Daniel Q. Duffy, NASA Goddard Space Flight Center
47. M0090: Atmospheric Turbulence - Event Discovery and Predictive Analytics; Michael Seablom, NASA HQ
48. M0186: Climate Studies using the Community Earth System Model at DOE.s NERSC center; Warren Washington, NCAR
49. M0183: DOE-BER Subsurface Biogeochemistry Scientific Focus Area; Deb Agarwal, LBNL
50. M0184: DOE-BER AmeriFlux and FLUXNET Networks; Deb Agarwal, LBNL
 
 Energy
51. M0223: Consumption forecasting in Smart Grids; Yogesh Simmhan, University of Southern California
Created December 14, 2022, Updated December 20, 2022