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Why do biomedical researchers learn to program? An exploratory investigation.
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A model for initiating research data management services at academic libraries.
J Med Libr Assoc. 2019 Jul;107(3):432-441. doi: 10.5195/jmla.2019.545. Epub 2019 Jul 1.
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Excel for data visualization in academic health sciences libraries: a qualitative case study.
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A two-tiered curriculum to improve data management practices for researchers.
PLoS One. 2019 May 1;14(5):e0215509. doi: 10.1371/journal.pone.0215509. eCollection 2019.
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A community of practice: librarians in a biomedical research network.
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Data literacy training needs of biomedical researchers.
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Ontology, Epistemology, Methodology, and Methods: Information for Librarian Researchers.
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A new hat for librarians: providing REDCap support to establish the library as a central data hub.
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10
Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows.
PLoS One. 2020 Jul 8;15(7):e0230697. doi: 10.1371/journal.pone.0230697. eCollection 2020.

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Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow.
J Imaging Inform Med. 2024 Jun;37(3):1239-1247. doi: 10.1007/s10278-024-00977-3. Epub 2024 Feb 16.
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Recognizing the value of meta-research and making it easier to find.
J Med Libr Assoc. 2023 Oct 2;111(4):839-843. doi: 10.5195/jmla.2023.1758.
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Integrating open science education into an undergraduate health professional research program.
J Med Libr Assoc. 2022 Oct 1;110(4):429-437. doi: 10.5195/jmla.2022.1457.
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Health sciences librarians' engagement in open science: a scoping review.
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Piloting a long-term evaluation of library data workshops.
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7
Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows.
PLoS One. 2020 Jul 8;15(7):e0230697. doi: 10.1371/journal.pone.0230697. eCollection 2020.

本文引用的文献

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A Guide to Reproducibility in Preclinical Research.
Acad Med. 2019 Jan;94(1):47-52. doi: 10.1097/ACM.0000000000002351.
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Our path to better science in less time using open data science tools.
Nat Ecol Evol. 2017 May 23;1(6):160. doi: 10.1038/s41559-017-0160.
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Five selfish reasons to work reproducibly.
Genome Biol. 2015 Dec 8;16:274. doi: 10.1186/s13059-015-0850-7.
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Best practices for scientific computing.
PLoS Biol. 2014 Jan;12(1):e1001745. doi: 10.1371/journal.pbio.1001745. Epub 2014 Jan 7.
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Ten simple rules for reproducible computational research.
PLoS Comput Biol. 2013 Oct;9(10):e1003285. doi: 10.1371/journal.pcbi.1003285. Epub 2013 Oct 24.

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