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RIS citation export for TUYE3: An Open-Source Based Data Management and Processing Framework on a Central Server for Scientific Experimental Data

TY  - CONF
AU  - Liu, A.
AU  - Callahan, J.R.
AU  - Gao, J.
AU  - Poddar, S.
AU  - Si, W.
ED  - Biedron, Sandra
ED  - Simakov, Evgenya
ED  - Milton, Stephen
ED  - Anisimov, Petr M.
ED  - Schaa, Volker R.W.
TI  - An Open-Source Based Data Management and Processing Framework on a Central Server for Scientific Experimental Data
J2  - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022
CY  - Albuquerque, NM, USA
T2  - International Particle Accelerator Conference
T3  - 5
LA  - english
AB  - The ever-expanding size of accelerator operation and experimental data including those generated by electron microscopes and beamline facilities renders most proprietary software inefficient at managing data. The Findability, Accessibility, Interoperability, and Reuse (FAIR) principles of digital assets require a convenient platform for users to share and manage data on. An open-source data framework for storing raw data and metadata, hosting databases, and providing a platform for data processing and visualization is highly desirable. In this paper, we present an open-source, infrastructure-independent data management software framework, named by Euclid-NexusLIMS, to archive, register, record, visualize and process experimental data. The software was targeted initially for electron microscopes, but can be widely applied to all scientific experimental data.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 307
EP  - 310
KW  - framework
KW  - experiment
KW  - software
KW  - data-management
KW  - network
DA  - 2022/10
PY  - 2022
SN  - 2673-7000
SN  - 978-3-95450-232-5
DO  - doi:10.18429/JACoW-NAPAC2022-TUYE3
UR  - https://jacow.org/napac2022/papers/tuye3.pdf
ER  -