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BiBTeX citation export for THPDP073: Scilog: A Flexible Logbook System for Experiment Data Management

@inproceedings{wakonig:icalepcs2023-thpdp073,
  author       = {K. Wakonig and A. Ashton and C. Minotti},
  title        = {{Scilog: A Flexible Logbook System for Experiment Data Management}},
% booktitle    = {Proc. ICALEPCS'23},
  booktitle    = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
  eventdate    = {2023-10-09/2023-10-13},
  pages        = {1512--1515},
  paper        = {THPDP073},
  language     = {english},
  keywords     = {experiment, database, target, controls, GUI},
  venue        = {Cape Town, South Africa},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {19},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {02},
  year         = {2024},
  issn         = {2226-0358},
  isbn         = {978-3-95450-238-7},
  doi          = {10.18429/JACoW-ICALEPCS2023-THPDP073},
  url          = {https://jacow.org/icalepcs2023/papers/thpdp073.pdf},
  abstract     = {{Capturing both raw and metadata during an experiment is of the utmost importance, as it provides valuable context for the decisions made during the experiment and the acquisition strategy. However, logbooks often lack seamless integration with facility-specific services such as authentication and data acquisition systems and can prove to be a burden, particularly in high-pressure situations during experiments. To address these challenges, SciLog has been developed as a logbook system utilizing MongoDB, Loopback, and Angular. Its primary objective is to provide a flexible and extensible environment, as well as a user-friendly interface. SciLog relies on atomic entries in a NoSQL database that can be easily queried, sorted, and displayed according to the user’s requirements. The integration with facility-specific authorization systems and the automatic import of new experiment proposals enable a user experience that is specifically tailored for the challenging environment of experiments conducted at large research facilities. The system is currently in use during beam time at the Paul Scherrer Institut, where it is collecting valuable feedback from scientists to enhance its capabilities. }},
}