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EOSC-Pillar Ambassadors Programme - Use case: FAIR Data for Earth Sciences [article]

Marco Kulüke, Marie Czuray, Julia Sophie Geistberger, Lorenzo Calamai, Maria Giuffrida
2022 Zenodo  
FAIR data and workflow efforts are a response to the increasing volume and complexity of scientific data.  ...  Particularly the environmental and earth sciences require a large amount of heterogeneous data.  ...  and provision of services to support the use-case: VRE, storage and computing facilities, archive for source code, discovery service By enabling collaboration between national and European data infrastructures  ... 
doi:10.5281/zenodo.6584736 fatcat:d2aczzx5bveszo7ell2xvndqsq

From Data to Knowledge to Discoveries: Artificial Intelligence and Scientific Workflows

Yolanda Gil
2009 Scientific Programming  
important aspects of scientific exploration and discovery.  ...  Scientific computing has entered a new era of scale and sharing with the arrival of cyberinfrastructure facilities for computational experimentation.  ...  Acknowledgements This research was supported by the National Science Foundation under grant CCF-0725332.  ... 
doi:10.1155/2009/167604 fatcat:ydfv3sqmkjdwxj4dxmimkdid2e

The Materials Data Facility: Data Services to Advance Materials Science Research

B. Blaiszik, K. Chard, J. Pruyne, R. Ananthakrishnan, S. Tuecke, I. Foster
2016 JOM: The Member Journal of TMS  
The materials data facility (MDF) operates two cloudhosted services, data publication and data discovery, with features to promote open data sharing, self-service data publication and curation, and encourage  ...  data reuse, layered with powerful data discovery tools.  ...  SUMMARY AND FUTURE WORK MDF provides scalable and robust data publication and discovery services for the materials science community.  ... 
doi:10.1007/s11837-016-2001-3 fatcat:n63zguwhbvddzo2fes6btakysu

EU-Brazil Open Data and Cloud Computing e-Infrastructure for Biodiversity

Rafael Amaral, Rosa M. Badia, Ignacio Blanquer, Leonardo Candela, Donatella Castelli, Renato De Giovanni, W. A. Gray, Andrew C. Jones, Daniele Lezzi, Pasquale Pagano, Vanderlei Perez Canhos, Francisco Quevedo (+3 others)
2013 International Workshop on Science Gateways  
This e-Infrastructure provides access to several integrated services and resources to seamlessly aggregate taxonomic, biodiversity and climate data, used by processing services implementing checklist cross-mapping  ...  The project deploys the EU-Brazil cloudbased e-infrastructure that allows the sharing of hardware, software and data on-demand.  ...  These services include infrastructure management facilities (e.g., VRE deployment facilities, user management, resource management) and user collaboration (e.g., shared workspace, data discovery facilities  ... 
dblp:conf/iwsg/AmaralBBCCGGJLPCQRRT13 fatcat:5je7xodkczeb5g2n55tvqpcfhu

BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments

E.J. Lingerfelt, A. Belianinov, E. Endeve, O. Ovchinnikov, S. Somnath, J.M. Borreguero, N. Grodowitz, B. Park, R.K. Archibald, C.T. Symons, S.V. Kalinin, O.E.B. Messer (+2 others)
2016 Procedia Computer Science  
at Oak Ridge National Laboratory's (ORNL) Compute and Data Environment for Science (CADES) and HPC environments like Titan at the Oak Ridge Leadership Computing Facility (OLCF).  ...  This framework delivers authenticated, "push-button" execution of complex user workflows that deploy data analysis algorithms and computational simulations utilizing the converged compute-and-data infrastructure  ...  It enables users to easily configure and dynamically generate complex data analysis and simulation workflows designed for a variety of HPC platforms.  ... 
doi:10.1016/j.procs.2016.05.410 fatcat:dmomdc3emnglpi4tg7dcsyhw2a

Scientific AI in materials science: a path to a sustainable and scalable paradigm [article]

Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt, Aaron Kusne, Eva Campo, Martin Green
2020 arXiv   pre-print
We provide a brief introduction to AI in materials science and engineering, followed by detailed discussions of each of the opportunities and paths forward.  ...  Recently there has been an ever-increasing trend in the use of machine learning (ML) and artificial intelligence (AI) methods by the materials science, condensed matter physics, and chemistry communities  ...  We have proposed five cross-cutting paths forward for each opportunity: Cross-disciplinary Collaboration -Reinvigorated collaboration among the domains of materials science and engineering, computer science  ... 
arXiv:2003.08471v1 fatcat:5bskrkxhsvfxbhot5dh3z5ynea

AstroTaverna—Building workflows with Virtual Observatory services

J.E. Ruiz, J. Garrido, J.D. Santander-Vela, S. Sánchez-Expósito, L. Verdes-Montenegro
2014 Astronomy and Computing  
Acknowledgments We would like to explicitly acknowledge the priceless contribution of Taverna developer Stian Soiland-Reyes, from the School of Computer Science at the University of Manchester, technical  ...  to preserve the scientific methodology, facilitating the reuse and exchange of digital knowledge, and to enable the inspection of the reproducibility of scientific investigation results.  ...  It supports open science and open data access.  ... 
doi:10.1016/j.ascom.2014.09.002 fatcat:gpbum424jbahvodxlh2h76ucxe

Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability [article]

Renan Souza, Tyler J. Skluzacek, Sean R. Wilkinson, Maxim Ziatdinov, Rafael Ferreira da Silva
2023 arXiv   pre-print
However, the heterogeneous nature of science poses challenges such as dealing with multiple supporting tools, cross-facility environments, and efficient HPC execution.  ...  Integrated data analysis plays a crucial role in scientific discovery, especially in the current AI era, by enabling Responsible AI development, FAIR, Reproducibility, and User Steering.  ...  To facilitate cross-facility scientific discovery, we proposed a generic system architecture for data integration.  ... 
arXiv:2308.09004v1 fatcat:pvjqpnik75egjbayl2rizbefh4

Enabling Quantitative Data Analysis Through e-Infrastructure

Koon Leai Larry Tan, Paul S. Lambert, Ken J. Turner, Jesse Blum, Vernon Gayle, Simon B. Jones, Richard O. Sinnott, Guy Warner
2009 Social science computer review  
data analysis in the social sciences.  ...  We conclude by discussing how these issues are relevant to the Data Management through e-Social Science (DAMES) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative  ...  Faster discovery of new drugs and a better understanding of climate change and its environmental impacts are just two examples of research enabled through e-Infrastructure (Research Councils UK e-Science  ... 
doi:10.1177/0894439309332647 fatcat:fgmc332ounerpk5z7ubkkd6xpu

HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery [chapter]

Matjaž Juršič, Bojan Cestnik, Tanja Urbančič, Nada Lavrač
2013 Lecture Notes in Computer Science  
the presented system is its powerful cross-context and cross-domain document exploration facility through bridging term discovery aimed at finding potential cross-domain linking terms.  ...  Term ranking based on the developed ensemble heuristic enables the expert to focus on cross-context terms with greater potential for cross-context link discovery.  ...  We use workflow diagrams to present the cross-domain knowledge discovery methodology implemented in CrossBee.  ... 
doi:10.1007/978-3-642-39146-0_12 fatcat:rmsquslqpnblvc4ec4hcazym54

DataFed: Towards Reproducible Research via Federated Data Management [article]

Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar
2020 arXiv   pre-print
DataFed provides web-based and command-line interfaces to manage data and integrate with complex scientific workflows.  ...  DataFed represents a step towards reproducible scientific research by enabling reliable staging of the correct data at the desired environment.  ...  Federating heterogeneous scientific facilities into a common data network enables the data access needs of complex cross-facility collaborations and workflows.  ... 
arXiv:2004.03710v1 fatcat:y645uounzbcq3bdkkalrtqrdzm

An Evolving Solar Data Environment [article]

Neal Hurlburt, Sam Freeland, Ryan Timmons
2018 arXiv   pre-print
The rapid growth of solar data is driving changes in the typical workflow and algorithmic approach to solar data analysis.  ...  of space-based datasets including those from the multi-petabyte Solar Dynamics Observatory and the Hinode and Interface Region Imaging Spectrograph (IRIS) missions are made available to the community through  ...  It incorporates HER services and enables citizen-science activities.  ... 
arXiv:1806.11210v1 fatcat:u5nmzpg7gre4pen33tnd3kkava

LAPPS/Galaxy: Current State and Next Steps

Nancy Ide, Keith Suderman, Eric Nyberg, James Pustejovsky, Marc Verhagen
2016 International Workshop on Worldwide Language Service Infrastructure  
The US National Science Foundation (NSF) SI 2 -funded LAPPS Grid project has developed an open-source platform for enabling complex analyses while hiding complexities associated with underlying infrastructure  ...  It provides sophisticated tool integration and history capabilities, a workflow system for building automated multi-step analyses, state-of-the-art evaluation capabilities, and facilities for sharing and  ...  Acknowledgements The work described here is supported by US National Science Foundation awards ACI-1147912, ACI-1147944, ACI-1547621, and ACI-1547270, and a grant from the Mellon Foundation.  ... 
dblp:conf/wlsi/IdeSNPV16 fatcat:3lsomls25zgrdpgptnshidfa6i

A Semantic Grid Oriented to E-Tourism [chapter]

Xiao Ming Zhang
2009 Lecture Notes in Computer Science  
Currently several enabling technologies such as semantic Web, Web service, agent and grid computing have been applied in the different e-Tourism applications, however there is no a unified framework to  ...  promising e-Tourism framework based on emerging semantic grid, in which a number of key design issues are discussed including architecture, ontologies structure, semantic reconciliation, service and resource discovery  ...  Specially, the agent facilities are set up through JADE (Java Agent Development Evnironment) [34] with extensions of reasoning and workflow engines: JESS (Java Expert System Shell) [29] and Wade (Workflow  ... 
doi:10.1007/978-3-642-10665-1_44 fatcat:adxk2vmqzfaypcgiitgsh4f6ya

Chemical Proteomic Strategy Utilizing a Chloroalkane Capture Tag for Target Discovery

Rachel Ohana
2019 Journal of Biomolecular Techniques  
Following binding to the targets inside cells, UV-induced photo-crosslinking preserves the interactions with intracellular targets and enables efficient enrichment of those targets through their covalent  ...  significantly improving the FFPE sample processing workflow, and greatly reducing the possibility of cross contamination and handling errors.  ...  Following binding to the targets inside cells, UV-induced photocrosslinking preserves the interactions with intracellular targets and enables efficient enrichment of those targets through their covalent  ... 
pmid:31896974 pmcid:PMC6938056 fatcat:5yoc3fwhtngb5i3j6guetvxddi
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