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Data Science Journal, Volume 23
Volume 23, January 2024
- Irina Gerasimov, Andrey Savtchenko, Jerome Alfred, James G. Acker, Jennifer C. Wei, Binita KC:
Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications. - Steven S. Chong, Mark Schildhauer, Margaret O'Brien, Bryce D. Mecum, Matthew B. Jones:
Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation. - Inna Kouper, Stacy Stone:
Data Sharing and Use in Cybersecurity Research. 3 - Heike Görzig, Alejandra N. González-Beltrán, Felix Engel, Brian Matthews:
A Framework for Active DMPs in Photon and Neutron Science Large-Scale Facilities. - Daniele Bailo, Rossana Paciello, Jan Michalek, Daniela Mercurio, Agata Sangianantoni, Kauzar Saleh Contell, Otto Lange, Giovanna Maracchia, Kuvvet Atakan, Keith G. Jeffery, Carmela Freda:
Data Management in Distributed, Federated Research Infrastructures: The Case of EPOS. - Hrachya V. Astsatryan, Stepan Babayan, Areg M. Mickaelian, Gor A. Mikayelyan, Martin Astsatryan:
Cloud-Based Machine Learning Service for Astronomical Sub-Object Classification: Case Study On the First Byurakan Survey Spectra.
Volume 23, February 2024
- Sebastian Netscher, Elke C. Bongartz, Anna K. Schwickerath, Dominik Braun, Karsten Stephan, Reiner Mauer:
Stamp - Standardized Data Management Plan for Educational Research: A Blueprint to Improve Data Management across Disciplines. - Ivan Pavlyshyn, Anna Petrenko, Bohdan Opryshko, Bohdan Oliinyk, Sergii Kavun:
Social Media Impact on the 'Cosmos' Blockchain Ecosystem: State and Prospect. 8 - Suqin Zhang, Changhua Fu, Xudong Zhao, Xiuxia Zhang, Yufei He, Qi Li, Jun Chen, Jianjun Wang, Qian Zhao:
Strategies in the Quality Assurance of Geomagnetic Observation Data in China. - Muhammad Abdan Mulia, Muhammad Bintang Bahy, Muhammad Zain Fawwaz Nuruddin Siswantoro, Nur Rahmat Dwi Riyanto, Nella Rosa Sudianjaya, Ary Mazharuddin Shiddiqi:
KBJNet: Kinematic Bi-Joint Temporal Convolutional Network Attention for Anomaly Detection in Multivariate Time Series Data. - Louise H. Patterton, Theo J. D. Bothma, Martie J. van Deventer:
Risky Business: Data-At-Risk in a Dynamic and Evolving Multidisciplinary Research Environment. 11
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