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Related papers: Long Term Space Data and Informatics Needs

200 papers

Careful preservation of experimental data, simulations, analysis products, and theoretical work maximizes their long-term scientific return on investment by enabling new analyses and reinterpretation of the results in the future. Key…

Computational Physics · Physics 2022-09-20 Stephen Bailey , K. S. Cranmer , Matthew Feickert , Rob Fine , Sabine Kraml , Clemens Lange

The report explores the challenges and strategies for preserving 3D digital data in cultural heritage. It discusses the issue of technological obsolescence, emphasising the need for ustainable storage solutions and ongoing data management…

Information Theory · Computer Science 2024-10-03 Nicola Amico , Achille Felicetti

For the successful development of the astrophysics and, accordingly, for obtaining more complete knowledge of the Universe, it is extremely important to combine and comprehensively analyze information of various types (e.g., about charged…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-16 Alexander Kryukov , Andrey Demichev

Science is becoming very data intensive1. Today's astronomy datasets with tens of millions of galaxies already present substantial challenges for data mining. In less than 10 years the catalogs are expected to grow to billions of objects,…

Databases · Computer Science 2009-11-07 Alexander S. Szalay , Jim Gray , Jan vandenBerg

As the amount of scientific data continues to grow at ever faster rates, the research community is increasingly in need of flexible computational infrastructure that can support the entirety of the data science lifecycle, including…

Computers and Society · Computer Science 2016-04-12 Robert L. Grossman , Allison Heath , Mark Murphy , Maria Patterson , Walt Wells

Privacy-Preserving Cloud Computing is an emerging technology with many applications in various fields. Cloud computing is important because it allows for scalability, adaptability, and improved security. Likewise, privacy in cloud computing…

Cryptography and Security · Computer Science 2022-04-26 Saeed Ahmadi , Maliheh Salehfar

Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of real-world problems, a plethora of…

Machine Learning · Computer Science 2021-03-19 Md Mahbub Alam , Luis Torgo , Albert Bifet

Driven by our mission of "uplifting the world with memory," this paper explores the design concept of "memory" that is essential for achieving artificial superintelligence (ASI). Rather than proposing novel methods, we focus on several…

Artificial Intelligence · Computer Science 2026-02-19 Hiroaki Yamanaka , Daisuke Miyashita , Takashi Toi , Asuka Maki , Taiga Ikeda , Jun Deguchi

Science projects are data publishers. The scale and complexity of current and future science data changes the nature of the publication process. Publication is becoming a major project component. At a minimum, a project must preserve the…

Digital Libraries · Computer Science 2015-06-25 Jim Gray , Alexander S. Szalay , Ani R. Thakar , Christopher Stoughton , Jan vandenBerg

The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, and combining archives of data. To address this challenge, we…

Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quality data from new telescopes, and especially with the advent…

The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-10 Sukhpal Singh Gill , Rajkumar Buyya

During European Space Weather Week 15 two plenary sessions were held to review the status of operational space weather forecasting. The first session addressed the topic of working with space weather service providers now and in the future,…

Space Physics · Physics 2019-08-19 Suzy Bingham , Sophie A. Murray , Antonio Guerrero , Alexi Glover , Peter Thorn

Scientific endeavors such as large astronomical surveys generate databases on the terabyte scale. These, usually multidimensional databases must be visualized and mined in order to find interesting objects or to extract meaningful and…

During the New Space era small countries are becoming important players in the space business. While space activities are rapidly increasing globally, it is important to make operations in a sustainable and safe way in order to preserve…

Signal Processing · Electrical Eng. & Systems 2022-09-15 Marko Höyhtyä , Sandrine Boumard , Anastasia Yastrebova , Pertti Järvensivu , Markku Kiviranta , Antti Anttonen

The next-generation astronomy digital archives will cover most of the universe at fine resolution in many wave-lengths, from X-rays to ultraviolet, optical, and infrared. The archives will be stored at diverse geographical locations. One of…

Databases · Computer Science 2016-08-31 Alexander S. Szalay , Peter Kunszt , Ani Thakar , Jim Gray

During more than 17 years of operation in space INTEGRAL telescope has accumulated large data set that contains records of hard X-ray and soft gamma-ray astronomical sources. These data can be re-used in the context of multi-wavelength or…

Instrumentation and Methods for Astrophysics · Physics 2021-07-28 A. Neronov , V. Savchenko , A. Tramacere , M. Meharga , C. Ferrigno , S. Paltani

Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial…

Physics and Society · Physics 2020-09-04 S. Li , S. Dragicevic , F. Anton , M. Sester , S. Winter , A. Coltekin , C. Pettit , B. Jiang , J. Haworth , A. Stein , T. Cheng

Spatial data science has emerged in recent years as an interdisciplinary field. This position paper discusses the importance of building and sharing high-quality datasets for spatial data science.

Computers and Society · Computer Science 2020-07-17 Yingjie Hu