相似文献
1
Barely sufficient practices in scientific computing.
Patterns (N Y). 2021 Feb 12;2(2):100206. doi: 10.1016/j.patter.2021.100206.
2
Applying FAIRness: Redesigning a Biomedical Informatics Research Data Management Pipeline.
Methods Inf Med. 2019 Dec;58(6):229-234. doi: 10.1055/s-0040-1709158. Epub 2020 Apr 29.
3
Introduction of the Capsules environment to support further growth of the SBGrid structural biology software collection.
Acta Crystallogr D Struct Biol. 2024 Jun 1;80(Pt 6):439-450. doi: 10.1107/S2059798324004881. Epub 2024 Jun 4.
4
Dental Research Data Availability and Quality According to the FAIR Principles.
J Dent Res. 2022 Oct;101(11):1307-1313. doi: 10.1177/00220345221101321. Epub 2022 Jun 2.
5
Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software.
Metabolomics. 2023 Feb 6;19(2):11. doi: 10.1007/s11306-023-01974-3.
6
Chronic disease outcome metadata from German observational studies - public availability and FAIR principles.
Sci Data. 2023 Dec 5;10(1):868. doi: 10.1038/s41597-023-02726-7.
7
Assessing the FAIRness of Deep Learning Models in Cardiovascular Disease Using Computed Tomography Images: Data and Code Perspective.
Stud Health Technol Inform. 2023 May 18;302:63-67. doi: 10.3233/SHTI230065.
8
AutoFAIR-A portal for automating FAIR assessments for bioinformatics resources.
Biochim Biophys Acta Gene Regul Mech. 2022 Jan;1865(1):194767. doi: 10.1016/j.bbagrm.2021.194767. Epub 2021 Nov 6.
9
Current state and call for action to accomplish findability, accessibility, interoperability, and reusability of low carbon energy data.
Sci Rep. 2022 Mar 25;12(1):5208. doi: 10.1038/s41598-022-08774-0.
10
One Digital Health for more FAIRness.
Methods Inf Med. 2022 Dec;61(S 02):e116-e124. doi: 10.1055/a-1938-0533. Epub 2022 Sep 7.
引用本文的文献
1
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review.
J Imaging Inform Med. 2025 Mar 4. doi: 10.1007/s10278-025-01458-x.
2
Guideline for software life cycle in health informatics.
iScience. 2022 Nov 9;25(12):105534. doi: 10.1016/j.isci.2022.105534. eCollection 2022 Dec 22.
3
Why don't we share data and code? Perceived barriers and benefits to public archiving practices.
Proc Biol Sci. 2022 Nov 30;289(1987):20221113. doi: 10.1098/rspb.2022.1113. Epub 2022 Nov 23.
4
Ten simple rules on writing clean and reliable open-source scientific software.
PLoS Comput Biol. 2021 Nov 11;17(11):e1009481. doi: 10.1371/journal.pcbi.1009481. eCollection 2021 Nov.
5
Fostering reproducibility, reusability, and technology transfer in health informatics.
iScience. 2021 Jul 1;24(7):102803. doi: 10.1016/j.isci.2021.102803. eCollection 2021 Jul 23.
本文引用的文献
1
Retraction-Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis.
Lancet. 2020 Jun 13;395(10240):1820. doi: 10.1016/S0140-6736(20)31324-6. Epub 2020 Jun 5.
2
Good enough practices in scientific computing.
PLoS Comput Biol. 2017 Jun 22;13(6):e1005510. doi: 10.1371/journal.pcbi.1005510. eCollection 2017 Jun.
3
The FAIR Guiding Principles for scientific data management and stewardship.
Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
Zotero 插件