five

Research data supporting "Considerations for Implementing Electronic Laboratory Notebooks in an Academic Research Environment"

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/5012728
下载链接
链接失效反馈
官方服务:
资源简介:
Research data supporting the publication: Higgins SG, Nogiwa-Valdez AA, Stevens MM, Considerations for Implementing Electronic Laboratory Notebooks in an Academic Research Environment, Nature Protocols, 2021. This repository contains the raw survey data of 172 current and historic electronic laboratory notebook (ELN) software packages. Main files: "ELN_Review_Higgins_2021_Survey.csv"  = raw survey data in 'tidy' data format "ELN_Review_Higgins_2021.Rmd" = an R Markdown File (R Notebook) that takes the survey data as input and produces summary statistics and plots. This file was written using R Studio as the IDE. Derived files, generated from those above: "ELN_Review_Higgins_2021.nb.html" = a self-contained HTML file that is automatically generated by R Studio, based on the markdown file. This can be opened in any web browser to allow manual inspection of the code and comments without the need for specialist software. Embedded within this file is also the original markdown script (i.e. a copy of the code in "ELN_Review_Higgins_2021.Rmd") "ELN_Review_Higgins_2021_Lifetimes_Interactive_Figure1.html" = an HTML file generated by the script above via the plotly package. It contains an interactive version of the ELN survey data, allowing the user to hover over the timeline and explore the data. "ELN_Review_Higgins_2021_Timeline.pdf" = static version of ELN timeline, used to generate figure in main manuscript. "ELN_Review_Higgins_2021_Releases-Per-Year.pdf" = static version of number of new ELNs per year, used to generate figure in main manuscript. This survey was generated from a mixture of primary and secondary sources (see references for secondary sources).
创建时间:
2024-07-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作