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Data Intensive Science

Nicolas Schmelling
2017 Research Ideas and Outcomes  
The syllabus will comprise open science workflows, the creation of data management plans, as well as the addressing issues about reproducibility and data sharing in science.  ...  Here, we propose to address the problem by teaching correct data storage and sharing in open access repositories and the comprehensive description of data production and data analysis pipelines.  ...  Proposed Project The proposed course "Data Intensive Science" consists of two main parts, a series of workshops and an accompanying lecture series.  ... 
doi:10.3897/rio.3.e12032 fatcat:lvnkgmvnqnfg7pq4oebfdbp7ke

A Science Cloud for Data Intensive Sciences

Ken T Murata, Shinichi Watari, Tsutomu Nagatsuma, Manabu Kunitake, Hidenobu Watanabe, Kazunori Yamamoto, Yasufumi Kubota, Hisao Kato, Takuya Tsugawa, Kentaro Ukawa, Kazuya Muranaga, Eizen Kimura (+3 others)
2013 Data Science Journal  
Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data are digitalized and the amount of data is huge.  ...  Herein we propose a cloud system especially designed for science. The basic concepts, design, resources, implementation, and applications of the NICT science cloud are discussed.  ...  ACKNOWLEDGEMENTS The present work was done by using resources of the OneSpaceNet (the NICT science cloud) and JGN-X (Japan Gigabit Network). 6  ... 
doi:10.2481/dsj.wds-024 fatcat:hkzuebhnknbwtoohpkstm5kwdm

Data Intensive Science: Shades of Grey

Keith G. Jeffery, Anne Asserson
2014 Procedia Computer Science  
CERIF provides a bridge over research datasets and open government data. CERIF thus forms the lowest common level of metadata across grey (and white) objects.  ...  Furthermore, CERIF allows generation of discovery level metadata (such as DC (Dublin Core), DCAT (Data Catalog Vocabulary), CKAN (Comprehensive Knowledge Archive Network) for simple retrieval or browsing  ...  Introduction Data Intensive Science The concept of data-intensive science has gained prominence recently with the publication of 'The Fourth Paradigm' in honour of Jim Gray 1 .  ... 
doi:10.1016/j.procs.2014.06.036 fatcat:sylurknjjzh2vgscwdzktzh7qu

Data-Intensive Science and Research Integrity

David B. Resnik, Kevin C. Elliott, Patricia A. Soranno, Elise M. Smith
2017 Accountability in Research  
In this commentary, we consider questions related to research integrity in data-intensive science and argue that there is no need to create a distinct category of misconduct that applies to deception related  ...  to processing, analyzing, or interpreting data.  ...  Acknowledgments: This research is funded, in part, by the Intramural Program of the National Institute of Environmental Health Science (NIEHS), National Institutes of Health (NIH); and the National Science  ... 
doi:10.1080/08989621.2017.1327813 pmid:28481648 pmcid:PMC6060414 fatcat:mxpvnjscdre5zljxcdsxnp6kki

Data-intensive e-science frontier research

Harvey B. Newman, Mark H. Ellisman, John A. Orcutt
2003 Communications of the ACM  
PPDG is supported by the DOE Office of Science HENP and Office of Mathematical, Information, and Computational Sciences (MICS), award #DE-FC02-01ER25459.  ...  The National Science Foundation (NSF) supports Strategic Technologies for the Internet (Multi-Gbps TCP) award #ANI-0230967; iVDGL subcontract #UF01087 to NSF grant # PHY-0122557; and, CMS Analysis: An  ...  E-Science faces unprecedented challenges in terms of: (1) the data-intensiveness of the work (as the data being processed, distributed and analyzed move from terabytes to petabytes to exabytes), (2) the  ... 
doi:10.1145/948383.948411 fatcat:xhiiyrfgjng6tckzyrsxiyeylu

Open Science in Data-Intensive Psychology and Cognitive Science

Alexandra Paxton, Alexa Tullett
2019 Policy Insights from the Behavioral and Brain Sciences  
Open science can dramatically improve the robustness and theoretical impact of data-intensive cognitive science and psychology. • • Grant-funding agencies and other government actors can develop a unified  ...  Highlights • • Data-intensive cognitive science and psychology leverages today's increased computational, storage, and analysis capability to understand human behavior and cognition. • • The growing open  ...  Benefits to Data-Intensive Psychological Science Improving resource sharing. Data-intensive science often requires a significant investment in time and resources.  ... 
doi:10.1177/2372732218790283 fatcat:z3gsqccjnzfwhl53fsa2cz2lwu

Data-intensive science applied to broad-scale citizen science

Wesley M. Hochachka, Daniel Fink, Rebecca A. Hutchinson, Daniel Sheldon, Weng-Keen Wong, Steve Kelling
2012 Trends in Ecology & Evolution  
Here, we describe how advances in data-intensive science provide accurate estimates in species distributions at continental scales by identifying complex environmental associations.  ...  In ecology, evolutionary biology and environmental monitoring, citizen-science projects have been designed to provide fine-resolution data with more intensive sampling at a local level (e.g. frequent surveys  ...  Here, we describe how advances in data-intensive science provide accurate estimates in species distributions at continental scales by identifying complex environmental associations.  ... 
doi:10.1016/j.tree.2011.11.006 pmid:22192976 fatcat:pf2yemnyabg25a5okm72ic2vvi

From Open Data to Data-intensive Science through CERIF

Keith G. Jeffery, Anne Asserson, Nikos Houssos, Valerie Brasse, Brigitte Jörg
2014 Procedia Computer Science  
Utilising the research datasets is data-intensive science, a component of e-Research. Data-intensive science also requires access to an e-infrastructure.  ...  OGD encourages cross-domain research because the summarized data from different domains is more easily relatable.  ...  Data intensive science is commonly associated with high throughput and/or high performance computing.  ... 
doi:10.1016/j.procs.2014.06.032 fatcat:5jogyps6lfcudfw6xc7euexo5m

Virtual data Grid middleware services for data-intensive science

Yong Zhao, Michael Wilde, Ian Foster, Jens Voeckler, James Dobson, Eric Gilbert, Thomas Jordan, Elizabeth Quigg
2006 Concurrency and Computation  
The GriPhyN Virtual Data System provides a suite of components and services for data-intensive sciences that enables scientists to systematically and efficiently describe, discover, and share large scale  ...  data and computation resources.  ...  The GriPhyN Virtual Data System was implemented by Gaurang Mehta, Karan Vahi, Jens Voeckler, and Yong Zhao.  ... 
doi:10.1002/cpe.968 fatcat:pxtqiiyg6fdohli2hzqkv7ut5a

Specifying and Implementing Data Infrastructures Enabling Data Intensive Science

Peter Wittenburg, Herman Stehouwer
2015 International Conference on Data Analytics and Management in Data Intensive Domains  
Data intensive sciences pose unprecedented challenges in data management and processing.  ...  which will enable broad uptake of the paradigm of data intensive science.  ...  intensive science.  ... 
dblp:conf/rcdl/WittenburgS15 fatcat:efcbre6xqfgktn5un6n46p3rqu

Data-Intensive Science and Engineering:Requirements and Challenges

Xue-Qing GONG, Che-Qing JIN, Xiao-Ling WANG, Rong ZHANG, Ao-Ying ZHOU
2012 Chinese Journal of Computers  
doi:10.3724/sp.j.1016.2012.01563 fatcat:k3u5rvhnyrdevnrttnbdxyuoee

Understanding Data Science: An Emerging Discipline for Data Intensive Discovery

Michael L. Brodie
2015 International Conference on Data Analytics and Management in Data Intensive Domains  
In addition, data science is a body of principles and techniques with which to measure and improve the correctness, completeness, and efficiency of Data-Intensive Analysis.  ...  Given the potential risks and rewards of Data-Intensive Analysis and its breadth of application, it is imperative that we get this right.  ...  Acknowledgement I gratefully acknowledge the brilliant insights and improvements proposed by Prof Jennie Duggan, Northwestern University and Prof Thilo Stadelmann, Zurich University of Applied Sciences  ... 
dblp:conf/rcdl/Brodie15 fatcat:tauyvkknp5f3ddych37xnrzy24

The Science DMZ: A Network Design Pattern for Data-Intensive Science

Eli Dart, Lauren Rotman, Brian Tierney, Mary Hester, Jason Zurawski
2014 Scientific Programming  
In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies.  ...  Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress.  ...  The network design patterns we discuss are focused on high end-to-end network performance for data-intensive science applications.  ... 
doi:10.1155/2014/701405 fatcat:pdxcpodcfbethkyzjmewmyvd4m

Reproducibility Decoded: Case Studies from Data-Intensive Science

Fatma Deniz
2020 Zenodo  
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Oakland, CA: University of California Press.  ...  Data Processing Stage II Data Analysis Stage III Stage I Data Input Reproducibility in Neuroimaging Research Data Input Stage I Data Analysis Stage III Data Processing Stage II Rokem  ...  2018 Data Input Stage I Data Processing Stage II Data Analysis Stage III pyMooney: Generating a Database of Two-tone Mooney Images Deniz 2018 Data Input Stage I Data Processing  ... 
doi:10.5281/zenodo.3624537 fatcat:qbwwvqkdlfaopd6s5xhzpfrdi4

Protocols and services for distributed data-intensive science

William Allcock
2001 AIP Conference Proceedings  
We describe work being performed in the Globus project to develop enabling protocols and services for distributed data-intensive science.  ...  in distributed systems These components leverage the substantial body of "Grid" services and protocols developed within the Globus project and by its collaborators, and are being used in a number of data-intensive  ...  INTRODUCTION We describe work being performed in the Globus project 1 to develop enabling protocols and services for distributed data-intensive science.  ... 
doi:10.1063/1.1405292 fatcat:7llecehe2rh3zafqn6slr5kb5u
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