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Related papers: When, Where, and How to Open Data: A Personal Pers…

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Data sharing is fundamental to scientific progress, enhancing transparency, reproducibility, and innovation across disciplines. Despite its growing significance, the variability of data-sharing practices across research fields remains…

Digital Libraries · Computer Science 2025-02-04 Puyu Yang , Giovanni Colavizza

Electromagnetics has an important role to play in solving the next generation of geoscience problems. These problems are multidisciplinary, complex, and require collaboration. This is especially true at the base scientific level where the…

Geophysics · Physics 2022-03-29 Douglas W. Oldenburg , Lindsey J. Heagy , Seogi Kang , Rowan Cockett

In the next decade, high energy physicists will use very sophisticated equipment to record unprecedented amounts of data in the hope of making major advances in our understanding of particle phenomena. Some of the signals of new physics…

High Energy Physics - Experiment · Physics 2009-11-07 Pushpalatha C. Bhat

Freely and openly shared low-cost electronic applications, known as open electronics, have sparked a new open-source movement, with much un-tapped potential to advance scientific research. Initially designed to appeal to electronic…

Quantitative Methods · Quantitative Biology 2022-07-14 Michael Oellermann , Jolle W. Jolles , Diego Ortiz , Rui Seabra , Tobias Wenzel , Hannah Wilson , Richelle Tanner

In recent years, the amount of information collected about human beings has increased dramatically. This development has been partially driven by individuals posting and storing data about themselves and friends using online social networks…

Computers and Society · Computer Science 2014-03-24 Arkadiusz Stopczynski , Riccardo Pietri , Alex Pentland , David Lazer , Sune Lehmann

The principles of data spaces for sovereign data exchange across trusted organizations have so far mainly been adopted in business-to-business settings, and recently scaled to cloud environments. Meanwhile, research organizations have…

Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are in many cases unique. At the same time, HEP has no coherent strategy for data preservation and re-use, and many important and…

High Energy Physics - Experiment · Physics 2015-05-27 David M. South

WOD-2012 aims at facilitating new trends and ideas from a broad range of topics concerned within the widely-spread Open Data movement, from the viewpoint of computer science research. While being most commonly known from the recent Linked…

Digital Libraries · Computer Science 2012-05-22 Guillaume Raschia , Martin Theobald , Ioana Manolescu

Powerful new observational facilities will come online over the next decade, enabling a number of discovery opportunities in the "Cosmic Frontier", which targets understanding of the physics of the early universe, dark matter and dark…

The European Open Science Cloud aims to make all data Findable, Accessible, Interoperable and Reusable. By far the largest community of users of the European Open Science Cloud is the science-inclined public. These users need a more curated…

Instrumentation and Methods for Astrophysics · Physics 2023-07-14 Stephen Serjeant

Open research data are heralded as having the potential to increase effectiveness, productivity, and reproducibility in science, but little is known about the actual practices involved in data search. The socio-technical problem of locating…

Digital Libraries · Computer Science 2020-03-12 Kathleen Gregory , Helena Cousijn , Paul Groth , Andrea Scharnhorst , Sally Wyatt

The data is an important asset of an organization and it is essential to keep this asset secure. It requires security in whatever state is it i.e. data at rest, data in use, and data in transit. There is a need to pay more attention to it…

Cryptography and Security · Computer Science 2022-02-25 Ishu Gupta , Ashutosh Kumar Singh

The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fusion and fundamental physics. These extreme physical systems…

Data collected by large-scale instruments, observatories, and sensor networks are key enablers of scientific discoveries in many disciplines. However, ensuring that these data can be accessed, integrated, and analyzed in a democratized and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-14 Yubo Qin , Ivan Rodero , Manish Parashar

Similar to Open Data initiatives, data science as a community has launched initiatives for sharing not only data but entire pipelines, derivatives, artifacts, etc. (Open Data Science). However, the few efforts that exist focus on the…

Machine Learning · Computer Science 2021-11-29 Essam Mansour , Kavitha Srinivas , Katja Hose

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 3, on the Energy Frontier, discusses the…

It is becoming increasingly important that physics educators equip their students with the skills to work with data effectively. However, many educators may lack the necessary training and expertise in data science to teach these skills. To…

This chapter addresses the forth paradigm of materials research -- big-data driven materials science. Its concepts and state-of-the-art are described, and its challenges and chances are discussed. For furthering the field, Open Data and an…

Materials Science · Physics 2019-04-12 Claudia Draxl , Matthias Scheffler

Data reuse is using data for a purpose distinct from its original intent. As data sharing becomes more prevalent in science, enabling effective data reuse is increasingly important. In this paper, we present a power systems case study of…

The term Data Space, understood as the secure exchange of data in distributed systems, ensuring openness, transparency, decentralization, sovereignty, and interoperability of information, has gained importance during the last years.…

Databases · Computer Science 2024-02-13 Javier Conde , Alejandro Pozo , Andrés Munoz-Arcentales , Johnny Choque , Álvaro Alonso