每个站点的代码频率
欧洲多站点阿尔茨海默病远程监测研究伦理审查文档的代码频率数据集,用于分析不同站点伦理主题差异。

基本信息
资源简介
每个站点的代码频率
【数据集背景】
本数据集源站标题为《Code frequencies per site.》。源站首次发布:2023-07-07。
【数据内容】
源站原始描述:Introduction Clinical research with remote monitoring technologies (RMTs) has multiple advantages over standard paper-pencil tests, but also raises several ethical concerns. While several studies have addressed the issue of governance of big data in clinical research from the legal or ethical perspectives, the viewpoint of local research ethics committee (REC) members is underrepresented in the current literature. The aim of this study is therefore to find which specific ethical challenges are r…
【数据结构与技术规格】
文件数 1 个,合计 13.82 KB。Table 3.xls:application/vnd.ms-excel,13.82 KB。数据集 DOI:10.1371/journal.pone.0285807.t003。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Cancer、Science Policy、Infectious Diseases。主题标签:relapse &# 8211、process duration varied、participant &# 8217、main themes emerging、ethics review process、best practices could、alzheimer &# 8217、9 european countries、project remote assessment、data protection officer。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Code_frequencies_per_site_/23644365
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Muurling, Marijn; Pasmooij, Anna M. G.; Koychev, Ivan; Roik, Dora; Froelich, Lutz; Schwertner, Emilia; et al. (2023). Code frequencies per site.. PLOS ONE. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Code frequencies per site.
- DOI:10.1371/journal.pone.0285807.t003
- 发布日期:2023-07-07
- 文件数:1 个
- 文件总体积:13.82 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Code_frequencies_per_site_/23644365
命令行下载
curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/41490156"
文件清单
Table 3.xls(13.82 KB)
文件总体积 13.82 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Introduction
Clinical research with remote monitoring technologies (RMTs) has multiple advantages over standard paper-pencil tests, but also raises several ethical concerns. While several studies have addressed the issue of governance of big data in clinical research from the legal or ethical perspectives, the viewpoint of local research ethics committee (REC) members is underrepresented in the current literature. The aim of this study is therefore to find which specific ethical challenges are raised by RECs in the context of a large European study on remote monitoring in all syndromic stages of Alzheimer’s disease, and what gaps remain.
Methods
Documents describing the REC review process at 10 sites in 9 European countries from the project Remote Assessment of Disease and Relapse–Alzheimer’s Disease (RADAR-AD) were collected and translated. Main themes emerging in the documents were identified using a qualitative analysis approach.
Results
Four main themes emerged after analysis: data management, participant’s wellbeing, methodological issues, and the issue of defining the regulatory category of RMTs. Review processes differed across sites: process duration varied from 71 to 423 days, some RECs did not raise any issues, whereas others raised up to 35 concerns, and the approval of a data protection officer was needed in half of the sites.
Discussion
The differences in the ethics review process of the same study protocol across different local settings suggest that a multi-site study would benefit from a harmonization in research ethics governance processes. More specifically, some best practices could be included in ethical reviews across institutional and national contexts, such as the opinion of an institutional data protection officer, patient advisory board reviews of the protocol and plans for how ethical reflection is embedded within the study.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0285807.t003(source: https://plos.figshare.com/articles/dataset/Code_frequencies_per_site_/23644365)。
需要用于商业化训练或医疗器械注册(NMPA/FDA)?
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。




