• 4CeeD - P. Nguyen et al., “4CeeD: Real-time Acquisition and Analysis Framework for Materials-related Cyber-Physical Environments”, 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2017 (PDF) - Best Paper Award

  • Active Curation - J. Myers and M. Hedstrom, "Active and Social Curation: Keys to Data Service Sustainability," NDS Consortium Planning Workshop, 2014 (PDF)

  • BRACELET - P. Nguyen et al., “Bracelet: Edge-Cloud Microservice Infrastructure for Aging Scientific Instruments,” International Conference on Computing, Networking and Communications (ICNC), 2019 (PDF)

  • Brown Dog - S. Padhy, G. Jansen, J. Alameda, E. Black, L. Diesendruck, M. Dietze, P. Kumar, R. Kooper, J. Lee, R. Liu, R. Marciano, L. Marini, D. Mattson, B. Minsker, C. Navarro, M. Slavenas, W. Sullivan, J. Votava, K. McHenry, "Brown Dog: Leveraging Everything Towards Autocuration", IEEE Big Data, 2015 (PDF)

  • CILogon - J. Basney et al., "CILogon: Enabling Federated Identity and Access Management for Scientific Collaborations", International Symposium on Grids and Clouds (ISGC), 2019 (PDF)

  • Clowder - L. Marini, I. Gutierrez-Polo, R. Kooper, S. Satheesan, M. Burnette, T. Nicholson, Y. Zhao, J. Lee, K. McHenry, "Clowder: Open Source Data Management for Long Tail Data", PEARC, 2018 (PDF)

  • Cover Crop Management & Farmdoc - S. Puthanveetil Satheesan, R. Bhattarai, S. Bradley, J. Coppess, L. Gatzke, R. Gupta, H. Jeong, J. S. Lee, G. Naraharisetty, M. Ondrejcek, G. D. Schnitkey, Y. Zhao, and C. M. Navarro, “Extensible Framework for Analysis of Farm Practices and Programs,” PEARC, 2019 (PDF)

  • ERGO - N. Makhoul, C. Navarro, J. Lee, and A. Abi-Youness, “Assessment of seismic damage to buildings in resilient Byblos City”, International Journal of Disaster Risk Reduction, 2016 (PDF)

  • Geodashboard - I. Gutierrez-Polo et al., “Monitoring Water Quality in the Great Lakes leveraging Geo-Temporal Cyberinfrastructure,” IEEE eScience, 2017 (PDF)

  • Groupscope - M. Poole et al., "Using Large Scale Video Data to Study Organizational Processes", Technical Report, 2015 (PDF)

  • IML-CZO - P. Kumar et al., "Design of an Observatory Data System and Open Source Data Sharing with Active Curation and Machine Learning", Geological Society of America Annual Meeting, 2019 (PDF)

  • IN-CORE - N. Attary et al., "Hindcasting community-level building damage for the 2011 Joplin EF5 tornado", Natural Hazards, 2018 (PDF)

  • Keras Spatial - A. Soliman et al., "Keras Spatial: Extending deep learning frameworks for preprocessing and on-the-fly augmentation of geospatial data", ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019 (PDF)

  • KnowEng - Blatti C, Emad A, Berry MJ, et al., "Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform", PLoS Biol., 2020 (PDF)

  • Medici - C. Sophocleous, L. Marini, R. Georgiou, M. Elfarargy, and K. McHenry, “Medici 2: A Scalable Content Management System for Cultural Heritage Datasets,” Code4Lib, 2017 (PDF)

  • MSC - L. Marini et al., “Extending the Medici Data Management Service for Medical Research Involving Distributed Teams,” IEEE eScience, 2013 (PDF)

  • NDS Labs Workbench - C. Willis, M. Lambert, K. McHenry, and C. Kirkpatrick, “Container-Based Analysis Environments for Low-Barrier Access to Research Data,” PEARC, 2017 (PDF)

  • Parsl - Y. Babuji et al., "Parsl: Pervasive Parallel Programming in Python", International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2019 (PDF)

  • PEcAn - M. Dietze et al., “A Quantitative Assessment of a Terrestrial Biosphere Model’s Data Needs Across North American Biomes,” Journal of Geophysical Research - Biogeosciences, 2014 (PDF)

  • Polyglot - K. McHenry, R. Kooper, P. Bajcsy, "Towards a Universal, Quantifiable, and Scalable File Format Converter", IEEE eScience, 2009 (PDF)

  • Research Software Engineers - D. S. Katz, K. McHenry, C. Reinking, and R. Haines, “Research Software Development & Management in Universities: Case Studies from Manchester’s RSDS Group, Illinois’ NCSA, and Notre Dame’s CRC,” ACM/IEEE International Conference on Software Engineering, International Workshop on Software Engineering for Science (SE4Science), 2019 (PDF)

  • SciTokens - A. Withers, B. Bockelman, D. Weitzel, D. A. Brown, J. Gaynor, J. Basney, T. Tannenbaum, Z. Miller, “SciTokens: Capability-Based Secure Access to Remote Scientific Data”, PEARC, 2018 (PDF)

  • SEAD - J. Myers, M. Hedstrom, D. Akmon, S. Payette, B. Plale, I. Kouper, S. McCaulay, R. McDonald, A. Varadharaju, P. Kumar, M. Elag, J. Lee, R. Kooper, and L. Marini, "Towards Sustainable Curation and Preservation: The SEAD Project's Data Services Approach," Interoperable Infrastructures for Interdisciplinary Big Data Sciences Workshop, IEEE eScience, 2015 (PDF)

  • ServiceX - B. Galewsky et al., "ServiceX - A Distributed, Caching, Columnar Data Delivery Service", International Conference on Computing in High Energy and Nuclear Physics (CHEP), 2019 (PDF)

  • Social Media Macroscope - C. Wang et al., “Social Media Intelligence and Learning Environment: an Open Source Framework for Social Media Data Collection, Analysis and Curation,” eScience, 2019 (PDF)

  • Software Servers - K. McHenry, R. Kooper, M. Ondrejcek, L. Marini, P. Bajcsy, "A Mosaic of Software", IEEE eScience, 2011 (PDF)

  • TERRA-REF - M. Burnette et al., “TERRA-REF Data Processing Infrastructure,” PEARC, 2018 (PDF)

  • VAT - V. Kuhn, A. Craig, M. Simeone, S. P. Satheesan, and L. Marini, “The VAT: Enhanced Video Analysis,” XSEDE, 2015 (PDF)

  • Vectore-Borne Disease - M. Ruiz et al., “A Prediction System for Vector-Borne Diseases?: a Use Case for Weekly Estimation of West Nile Virus Risk,” AGU, 2018 (Abstract)

  • WholeTale - K. Chard, N. Gaffney, M. B. Jones, K. Kowalik, B. Ludäscher, J. Nabrzyski, V. Stodden, I. Taylor, M. J. Turk, and C. Willis, "Implementing Computational Reproducibility in the Whole Tale Environment", International Workshop on Practical Reproducible Evaluation of Computer Systems (P-RECS'19), 2019 (PDF)

  • XRAS - D. Hart et al., "XRAS: Allocations software as a service in XSEDE", Annual Conference on Extreme Science and Engineering Discovery Environment, 2014 (PDF)

  • yt - M. Turk et al., "yt: A Multi-code Analysis Toolkit for Astrophysical Simulation Data", The Astrophysical Journal Supplement, 2011 (PDF)
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