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 |
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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 |
Commercial | ||
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 |