Our IEEE Computer Society Computing in Science & Engineering (CiSE) article on Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric has been published. It is available for open access to all. Download the article here: https://lnkd.in/g_4CrGgu Learn more about our vision of combining findable, accessible, interoperable, and reusable (FAIR) Digital Objects with the National Science Data Fabric (NSDF) to enhance data accessibility, scientific discovery, and education. Integrating FAIR Digital Objects into the NSDF overcomes data access barriers and facilitates the extraction of machine-actionable metadata in alignment with FAIR principles. The article discusses examples of climate simulations and materials science workflows. It establishes the groundwork for a dataflow design that prioritizes inclusivity, web-centricity, and a network-first approach to democratize data access and create opportunities for research and collaboration in the scientific community. Contact us if you want to collaborate or share your thoughts about data democratization. Michela Taufer Valerio Pascucci Christine Kirkpatrick Global Computing Laboratory San Diego Supercomputer Center Scientific Computing and Imaging Institute at the University of Utah University of Tennessee, Knoxville National Science Foundation (NSF)
National Science Data Fabric
Research Services
Salt lake city, Utah 219 followers
Democratizing Data Access for Science, Technology, and Society
About us
The National Science Data Fabric gathers scientists, computer scientists, and engineers who share a main mission: defining a Platform Agnostic Testbed for Democratizing Data Delivery. The initiative is supported by the National Science Foundation and is led by the University of Utah together with the University of Tennessee Knoxville, San Diego Supercomputer Center, University of Michigan, and John Hopkins University. The team is building a novel trans-disciplinary approach for integrated data delivery and access to shared storage, networking, computing, and educational resources. An important goal of NSDF is to reach out to communities and engage them.
- Website
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http://nationalsciencedatafabric.org/
External link for National Science Data Fabric
- Industry
- Research Services
- Company size
- 51-200 employees
- Headquarters
- Salt lake city, Utah
- Type
- Nonprofit
- Founded
- 2021
Locations
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Primary
72 So. Central Campus Drive,
room 4646
Salt lake city, Utah 84112, US
Employees at National Science Data Fabric
Updates
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National Science Data Fabric reposted this
Honored to kick off ICPP 2024 with a keynote on the National Science Foundation (NSF)-funded project, National Science Data Fabric (NSDF)! I discussed how NSDF is revolutionizing data access and scientific discovery by integrating HPC and cloud environments, making data management more accessible and reproducible. Highlighting its application to the SOMOSPIE workflow in earth science, I showcased how NSDF supports complex analyses across academic and commercial clouds, enhancing clarity and reproducibility in research. I am grateful to the #ICPP24 community and Stefano Markidis (KTH Royal Institute of Technology) for this opportunity. I am excited about the collaborations ahead! Michela Taufer Global Computing Laboratory Tickle College of Engineering at the University of Tennessee University of Tennessee, Knoxville Valerio Pascucci National Science Data Fabric Scientific Computing and Imaging Institute at the University of Utah #ICPP2024 #HPC #CloudComputing #DataScience #Reproducibility
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Definitely not to miss! #PASC24 Valerio Pascucci Michela Taufer Scientific Computing and Imaging Institute at the University of Utah Global Computing Laboratory
Join us to unleash the Power within Data Democratization: Building an Inclusive Community, One Use Case at a Time at #PASC24 in Room HG F 30 Audi Max at 11:30 AM. Presentations 11:30- 12:00CEST National Science Data Fabric : Democratizing Data Access for Science and Society Michela Taufer Valerio Pascucci 12:00- 12:30CEST Dealing with Data in the Era of Heterogeneity Gustavo Alonso 12:30- 13:00CEST Bringing Data, HPC, and Socials Sciences Together: Computational Social Sciences at the Barcelona Supercomputing Center Merce Crosas 13:00- 13:30CEST NeIC: Fostering Nordic Research E-Infrastructure Collaboration for Innovation and Impact Tomasz Malkiewicz Full program: https://lnkd.in/gJG4X_Da University of Tennessee, Knoxville University of Utah Scientific Computing and Imaging Institute at the University of Utah National Science Foundation (NSF)
Program - PASC 2024
https://pasc24.pasc-conference.org
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Did you miss the most recent National Science Data Fabric (NSDF) Distinguished Speaker Webinar on May 2? Thomas Hauser’s talk, “Advancing Earth System Science through Research Computing and Data Services at the NSF National Center for Atmospheric Research (NSF NCAR),” is available online at: https://lnkd.in/gYmf-y72 NSDF project is sponsored by National Science Foundation (NSF) OAC: Piloting the National Science Data Fabric: A Platform Agnostic Testbed for Democratizing Data Delivery #2138811. Learn more about NSDF and how to join us at: https://lnkd.in/gc6ueTKM Valerio Pascucci Michela Taufer Global Computing Laboratory Christine Kirkpatrick Scientific Computing and Imaging Institute at the University of Utah San Diego Supercomputer Center NSF NCAR - The National Center for Atmospheric Research Thomas Hauser
National Science Data Fabric
nationalsciencedatafabric.org
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Join us for the National Science Data Fabric (NSDF) Distinguished Speaker: Dr. Thomas Hauser, NCAR, on May 2, 2024, at 12 pm ET/11 am CT/10 am MT/9 am. Please share the call for participation with colleagues, students, and collaborators. Title: Advancing Earth System Science through Research Computing and Data Services at the NSF National Center for Atmospheric Research (NSF NCAR) Speaker: Dr. Thomas Hauser, Director of the Computational and Information Systems Laboratory (CISL) NSF National Center for Atmospheric Research (NCAR) Date: Thursday, May 2, 2024, 12pm ET/11am CT/10am MT/9am PT Join the Webinar: https://lnkd.in/giXzWfwZ More about the webinar and NSDF: https://lnkd.in/eXeajSab Title: Advancing Earth System Science through Research Computing and Data Services at the NSF National Center for Atmospheric Research (NSF NCAR) Abstract: The NSF NCAR Computational & Information Systems Lab (CISL) provides research computing and data services to the Earth System Science community. This talk will highlight CISL's role in advancing scientific discovery by delivering high-performance computing environments, managing data repositories, and developing innovative computational and data science tools. In addition to HPC systems, CISL offers a wide range of data services, which provides access to petabytes of curated Earth science datasets. Through ongoing efforts in data assimilation, machine learning, and visualization, CISL provides researchers with tools to extract insights from the vast amounts of data generated by observations and simulations. This talk will discuss CISL's computing and data services and plans for updating the infrastructure to address the challenges of data-intensive workflows. Bio: Thomas Hauser is the director of the Computational and Information Systems Laboratory (CISL) at the NSF National Center for Atmospheric Research. In this role, he is responsible for the state-of-the-art supercomputing, data, analysis, and visualization services supporting the Earth system science community. He also oversees the research and development activities in emerging technologies, software engineering, computational science, machine learning, and data assimilation to sustain progress in Earth system science. Before joining CISL, Hauser was the director of Research Computing at the University of Colorado Boulder, one of the two founding executive directors of the Center for Research Data and Digital Scholarship, and a CU Boulder Libraries faculty member. He earned his Ph.D. in mechanical engineering, specializing in computational fluid dynamics, from the University of Technology in Munich, Germany. PAST NSDF Webinars (Recordings): https://lnkd.in/gTkAeSWf University of Utah NSF NCAR - The National Center for Atmospheric Research Global Computing Laboratory Scientific Computing and Imaging Institute at the University of Utah Valerio Pascucci Michela Taufer Christine Kirkpatrick
Join our Cloud HD Video Meeting
ucsd.zoom.us
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Join us on Thursday, May 2, 2024, 12pm ET/11am CT/10am MT/9am PT for a National Science Data Fabric distinguished speaker lecture of Thomas Hauser, NCAR Title: Advancing Earth System Science through Research Computing and Data Services at the NSF National Center for Atmospheric Research (NSF NCAR) Speaker: Dr. Thomas Hauser, Director of the Computational and Information Systems Laboratory (CISL) NSF National Center for Atmospheric Research (NCAR) Date: Thursday, May 2, 2024, 12pm ET/11am CT/10am MT/9am PT Join the Webinar: https://lnkd.in/giXzWfwZ Title: Advancing Earth System Science through Research Computing and Data Services at the NSF National Center for Atmospheric Research (NSF NCAR) Abstract: The NSF NCAR Computational & Information Systems Lab (CISL) provides research computing and data services to the Earth System Science community. This talk will highlight CISL's role in advancing scientific discovery by delivering high-performance computing environments, managing data repositories, and developing innovative computational and data science tools. In addition to HPC systems, CISL offers a wide range of data services, which provides access to petabytes of curated Earth science datasets. Through ongoing efforts in data assimilation, machine learning, and visualization, CISL provides researchers with tools to extract insights from the vast amounts of data generated by observations and simulations. This talk will discuss CISL's computing and data services and plans for updating the infrastructure to address the challenges of data-intensive workflows. Bio: Thomas Hauser is the director of the Computational and Information Systems Laboratory (CISL) at the NSF National Center for Atmospheric Research. In this role, he is responsible for the state-of-the-art supercomputing, data, analysis, and visualization services supporting the Earth system science community. He also oversees the research and development activities in emerging technologies, software engineering, computational science, machine learning, and data assimilation to sustain progress in Earth system science. Before joining CISL, Hauser was the director of Research Computing at the University of Colorado Boulder, one of the two founding executive directors of the Center for Research Data and Digital Scholarship, and a CU Boulder Libraries faculty member. He earned his Ph.D. in mechanical engineering, specializing in computational fluid dynamics, from the University of Technology in Munich, Germany. For more information, contact us at info@nationalsciencedatafabric.org PAST NSDF Webinars: https://lnkd.in/gTkAeSWf Thomas Hauser NSF NCAR - The National Center for Atmospheric Research National Science Foundation (NSF) Valerio Pascucci Global Computing Laboratory University of Tennessee, Knoxville University of Utah Scientific Computing and Imaging Institute at the University of Utah Christine Kirkpatrick San Diego Supercomputer Center
Join our Cloud HD Video Meeting
ucsd.zoom.us
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Please join the webinar and share the call for participation with colleagues, students, and collaborators. ######################################################## Call for Participation National Science Data Fabric (NSDF) Webinar Tutorial: Michela Taufer, UTK, and Valerio Pascucci, U Utah ######################################################## Title: Using the NSDF Services for End-to-End Analysis and Visualization of Large Scientific Data Presenters: Dr. Michela Taufer, University of Tennessee Knoxville Dr. Valerio Pascucci, University of Utah Date: Wednesday, April 10, 2024 at 12:30 pm ET Join the webinar: https://lnkd.in/gS8FdQBY More about the NSDF project: https://lnkd.in/gdHDYBmy Abstract: Scientific research often involves dealing with vast amounts of data stored in various public and private remote locations. Researchers frequently prefer to review all the available data remotely before deciding which segments to download, transferring only specific portions of this data to their local computer for closer analysis and visualization. However, every step of this process is challenging: it is difficult to stream the data, identify and deploy tools for data visualization, interact dynamically with the data, explore multiple datasets simultaneously, and decide which relevant segment of data to download. This tutorial targets scientists who need to visualize and analyze large scientific datasets interactively. The tutorial demonstrates how the National Science Data Fabric (NSDF)’s services enable accessible, flexible, and customizable workflows for multi-faceted analysis and visualization of various datasets. The tutorial walks through workflow steps of generating large datasets through modular applications, storing this data remotely, and analyzing and visualizing the data locally to draw scientific conclusions. NSDF services allow users to stream data from public storage platforms like DataVerse or private storage platforms like Seal Storage and access an easy-to-use NSDF dashboard for immediate interaction with data. The tutorial highlights how to move through every step of the modular workflow, handling different data formats that are efficient for streaming, and how to use visualization for scientific inference on subsets of selected data. By deploying an earth science use case, the tutorial shows how a modular workflow can create a dataset, gather fine-resolution terrain parameters across the United States, and visualize selected regions of interest. For more information, contact us at info@nationalsciencedatafabric.org Valerio Pascucci Michela Taufer University of Utah University of Tennessee, Knoxville Scientific Computing and Imaging Institute at the University of Utah Global Computing Laboratory National Science Data Fabric National Science Foundation (NSF)
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The National Science Data Fabric (NSDF) held its fourth in-person All Hands Meeting at the San Diego Supercomputer Center in La Jolla, California, on February 28, 29, and March 1 - https://lnkd.in/gfhAQt-R. Featuring keynote presentations from Chaitan Baru (National Science Foundation (NSF)) and Sandra Gesing (San Diego Supercomputer Center), the All Hands Meeting included nearly fifty participants from academic institutions, industry partners, and national laboratories. Highlights included Dennis Sigur ’s (Dillard University) presentation on Opportunities and Challenges as Historically Black Colleges and Universities (HBCUs) and Gustavo Ovando-Montejo’s (Utah State University - https://lnkd.in/ghfy5_cS) presentation on democratizing spatial data for climate change risk assessment across Native American Nations. Domain scientists working in fields ranging from Dark Matter (Amy Roberts, University of Colorado, Denver) and Materials Science (Erwin Cazares, The University of Texas at El Paso) to STEM education (Dan Barstow Windows on Earth), presented new data challenges in their fields. Presentations also highlighted the accomplishments of National Science Data Fabric, including Werner Sun’s discussion of the deployment of NSDF services at CHESS (the Cornell High Energy Synchrotron Source). A new tutorial demonstrating the impressive capabilities of NSDF for end-to-end visualization and analysis of scientific data also debuted. Do you want to join NSDF? Contact us with LinkedIn or per email at: info@nationalsciencedatafabric.org University of Utah University of Tennessee, Knoxville Scientific Computing and Imaging Institute at the University of Utah Global Computing Laboratory Valerio Pascucci Michela Taufer
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National Science Data Fabric reposted this
I am honored to be part of the National Science Data Fabric and this fantastic team of colleagues. Our mission is to democratize data access and use. Working with the CHESS comunity and supporting them in their scientific research is so rewarding. Valerio Pascucci University of Utah Scientific Computing and Imaging Institute at the University of Utah University of Tennessee, Knoxville Tickle College of Engineering at the University of Tennessee Global Computing Laboratory #bigdata
High-intensity X-ray source supported by the National Science Foundation which provides our users state-of-the-art synchrotron radiation facilities for research in various fields.
In an initiative aimed at democratizing data-driven scientific discovery, the National Science Data Fabric (NSDF) and CHESS have collaborated in establishing an approach for integrated data delivery and access to research data visualization, shared storage, networking, and computing resources. 🌟 Read the full article here: bit.ly/NSDF3 🔗 The NSDF pilot, a collaborative effort connecting an open network of institutions, offers a modular and easily accessible data delivery environment. Funded by the National Science Foundation, the pilot embraces equity in access to data and cyberinfrastructure resources, benefiting a wide range of scientific domains. The active involvement of Historically Black Colleges, the Minority Serving Cyberinfrastructure Consortium, and Hispanic Serving Institutions informs the NSDF’s development, advancing inclusivity in data-driven science. A pivotal development is the implementation of NSDF dashboards built on OpenViSUS technology, a data-intensive analytics and visualization platform that streamlines data collection, improves data quality, and increases scientific productivity. By facilitating real-time visualization of large three-dimensional datasets collected at CHESS, OpenViSUS enables experimenters to perform preliminary analysis at the beamline, with data visualized in as little as 20 minutes. NSDF Dashboards integrated into the system provide interactive data quality monitoring, allowing researchers to identify and address issues during data collection. These dashboards can be accessed onsite or offsite, allowing remote users to monitor experimental progress from their home institutions. The NSDF/CHESS collaboration represents a significant stride in creating a federated data fabric focused on inclusivity, scalability, and real-time data visualization. As CHESS continues to be at the forefront of data-intensive science, this partnership will ultimately lead to more efficient use of limited resources: beam time, travel expenses, and the one-of-a-kind datasets collected at CHESS. National Science Data Fabric : https://lnkd.in/eeCewbrs Werner Sun - Cornell High Energy Synchrotron Source (CHESS) Valerio Pascucci & Giorgio S. - Scientific Computing and Imaging Institute at the University of Utah Frank Wuerthwein - San Diego Supercomputer Center Alex Szalay - The Johns Hopkins University John Allison - University of Michigan College of Engineering Michela Taufer - University of Tennessee, Knoxville Article written by Savan DeSouza : Cornell Laboratory for Accelerator-based ScienceS and Education (CLASSE) Cornell University l National Science Foundation (NSF) l School of Applied and Engineering Physics at Cornell University l Cornell Engineering #synchrotron #datascience #datavisualization #nsdf #xrays #research #magnets #physics #nsf #NSFfunded #synchrotronscience #cornell #cornelluniversity
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National Science Data Fabric reposted this
Great National Science Data Fabric success at SC23!!!
We are delighted with the success of National Science Data Fabric at SC Conference Series #SC23! If you missed it, our Panel and BoF recordings are available through the SC Digital Experience until the end of December. Kudos to the members of the NSDF Project and the inaugural group of NSDF Travel Fellows who attended the conference and met the SC23 General Chair, Dorian C. Arnold. Valerio Pascucci Scientific Computing and Imaging Institute at the University of Utah Michela Taufer Global Computing Laboratory Christine Kirkpatrick San Diego Supercomputer Center #datademocratization #bigdata