.svg)
.svg)
.svg)
.svg)
.svg)
.svg)
.png)
Minisymposium
MS1I - Unleashing the Power within Data Democratization: Building an Inclusive Community, One Use Case at a Time
Replay
Session Chair
Description
The minisymposium emphasizes the pivotal role of data in scientific research and the need for a robust global data infrastructure. Organized by the National Science Data Fabric (NSDF), an international effort for data democratization, it integrates insights from global initiatives presenting cyberinfrastructures for data access, focusing on the navigation of earth science data, fostering FAIR data, and facilitating Nordic research. The minisymposium discusses interdisciplinary approaches to building the global data infrastructure, integrating data delivery across storage, networking, computing, and education to democratize data-driven scientific discovery. The minisymposium is a global forum for scientists to discuss challenges, share successful use cases, and exchange insights on data-driven cyber infrastructures. Dynamic presentations bridge the gap between theory and practice, showcasing impacts on scientific progress. The event's international nature underscores the global relevance of multiple initiatives, providing a dynamic platform for researchers to share best practices and collectively advance data-driven scientific discovery. Speakers and attendees discuss significant strides in creating an integrated data infrastructure and fostering global collaboration for scientific breakthroughs.
Presentations
The National Science Data Fabric (NSDF) pilot project is a transformative initiative to democratize data-driven sciences through a cyberinfrastructure platform that ensures equitable access. By integrating a programmable Content Delivery Network (CDN), NSDF achieves interoperability across various computing environments, enabling seamless computing, storage, and networking integration. This strategy enables the development of community-driven solutions and domain-specific advancements efficiently. A key element of NSDF's approach is its dedication to community education and outreach, especially through collaborations with minority-serving institutions, to ensure widespread access. Our presentation will introduce the shared, modular, and containerized NSDF environment, designed to bridge significant gaps in the national computational infrastructure and tackle the 'missing millions' in American STEM talent. We will highlight NSDF's commitment to fostering an inclusive, diverse workforce and its efforts towards collective success in various fields, including material sciences, astrophysics, and earth sciences. Through testimonials and live demonstrations, we will showcase the impactful services provided by NSDF to support national science and engineering goals and to engage the broader scientific community effectively.
Computing platforms are evolving rapidly along many dimensions: processors, specialization, disaggregation, acceleration, smart memory and storage, etc. Many of these developments are being driven by data science but very few existing data processing platforms make use of modern hardware, which is crucial to be able to process large amounts of data in an efficient manner. One reason for the gap is the deluge of possible configurations and deployment options, most of them too new to have a precise idea of their performance implications and lacking proper support in the form of tools and platforms that can manage the underlying diversity. This growing heterogeneity opens up many opportunities but also raises significant challenges. In the talk I will describe our efforts to explore the possibilities that modern hardware opens for data management and discuss a system we are building for data processing on heterogeneous computing platforms that has as its main goal to effectively cope with the great variety of emerging hardware.
The Barcelona Supercomputing Center (BSC) has recently launched a new initiative on Computational Social Sciences which aims to prepare the social sciences and humanities for the era of data and AI, increase the collaboration between social scientists and computer scientists, and facilitate access to vast amounts of data and HPC for the social science community. This talk will present the strategy, infrastructures, and initial research projects associated with this initiative at BSC, and connect this work to FAIR data initiatives led by CODATA for advancing science and addressing societal challenges.
Digitalization and the green shift are at the top of the EU's research and innovation policy agenda, paralleling the Nordic Council of Ministers' new vision for the Nordic Region to become the world's most sustainable and integrated region by 2030. The Nordic e-Infrastructure Collaboration has been recognized as one of the vehicles for advancing and implementing this vision, through the development projects and activities providing access to LUMI-supercomputer and quantum computers, benefiting from HPC powered AI applications, training the researchers to make full use of software, computing, and data, and acting as a global role model for the e-Infrastructure partnerships. NeIC has two major roles. The first role is to assume operational responsibility for the Nordic distributed Tier-1 facility that is part of the Worldwide LHC Computing Grid (WLCG) that provides computing and storage for CERN and is used by high energy physicists worldwide. The second is to jointly or collaboratively explore, evaluate, develop and deploy innovative infrastructure services in the area of e-infrastructure and the needs of the national e-infrastructure providers, their users and selected ESFRI projects of joint Nordic interest. This presentation will provide an overview of the NeIC activities, and strategy for fostering collaboration on research e-Infrastructure