英国癌症试验患者信息表和知情同意书语料库 2007-2017

英国2007-2017年癌症随机对照试验的27份患者信息表和23份知情同意书文本语料库。

NIAID Data Ecosystem
浏览 5
文本Randomised Controlled TrialsResearch EthicsInformed ConsentPatient InformationReadabilityCorpus LinguisticsApplied LinguisticsCancerComputational LinguisticsEnglish LanguageStylistics and Textual AnalysisDiscourse and Pragmatics
Corpora of patient information sheets and consent forms for UK cancer trials 2007-2017

基本信息

模态
文本
许可
CC BY-NC-SA 4.0
创建/更新时间
2026-10-11
版本
v1

资源简介

英国癌症试验患者信息表和知情同意书语料库 2007-2017

【一句话概览】

本数据集是 figshare 公开的文本数据集,主题涵盖 Randomised Controlled Trials、Research Ethics、Informed Consent、Patient Information、Readability,可用于医学自然语言处理(实体识别、信息抽取等),CC BY-NC-SA 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Corpora of patient information sheets and consent forms for UK cancer trials 2007-2017》。项目资助方:IOE Seed Funding Scheme 2017, UCL Institute of Education。源站首次发布:2020-04-22。

【数据内容】

源站原始描述:Obtaining informed consent is an ethical imperative when conducting research involving human participants. However, participants’ actual level of understanding is often difficult and impractical to assess in operational research. One setting where the stakes for understanding are high due to the potential consequences of research participation is randomised controlled trials (RCTs), which test the effectiveness and safety of medical treatments. However, ethics committees'' gatekeeping mechanisms…

【数据结构与技术规格】

数据集 DOI:10.5522/04/12168309.v1。

【主题与分类】

源站学科分类:Computational linguistics、English language、Stylistics and textual analysis、Discourse and pragmatics、Health care administration、Medical ethics。主题标签:Randomised Controlled Trials、Research Ethics、Informed Consent、Patient Information、Readability、Corpus Linguistics、Applied Linguistics、Cancer、Computational Linguistics、English Language。

【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://rdr.ucl.ac.uk/articles/dataset/Corpora_of_patient_information_sheets_and_consent_forms_for_UK_cancer_trials_2007-2017/12168309

使用许可:CC BY-NC-SA 4.0(https://creativecommons.org/licenses/by-nc-sa/4.0/)。

规范引用:Isaacs, Talia; Murdoch, Jamie; Demjen, Zsofia; Stevenson, Fiona (2020). Corpora of patient information sheets and consent forms for UK cancer trials 2007-2017. University College London. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

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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。

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公开下载

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暂未开放

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:https://figshare.com/articles/dataset/Corpora_of_patient_information_sheets_and_consent_forms_for_UK_cancer_trials_2007-2017/12168309

按页面 Download 按钮获取。

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

Obtaining informed consent is an ethical imperative when conducting research involving human participants. However, participants’ actual level of understanding is often difficult and impractical to assess in operational research. One setting where the stakes for understanding are high due to the potential consequences of research participation is randomised controlled trials (RCTs), which test the effectiveness and safety of medical treatments. However, ethics committees’’ gatekeeping mechanisms often mean that legalese is mandated in consent forms, which can work against patients’ understanding. The goal of this text-based study was, therefore, to build and analyse a corpus of patient information sheets (PIS) and consent forms (CF) from RCTs conducted in the UK.

This data collection consists of 27 participant information sheets and 23 consent forms freely available on-line. Materials were collected following a comprehensive search for publicly available ethical materials from randomised control trials (RCTs) targeting cancer (2007-17), primarily by systematically searching key on-line databases and monograph series. These corpora, which are different, to our knowledge, than any existing collection of medical English, could further research on information provision for patients in RCTs specifically and in healthcare settings more generally, in addition to advancing the study of the language of written ethical documents. Secondary analyses of these data could be undertaken using techniques from corpus linguistics, computational linguistics, and/or discourse analysis, for example, to investigate the nature and complexity of the language used and/or broach participants’ understanding of ethical principles or preference for how different language functions are expressed. All ethical materials that comprise the corpora were freely obtained from the public domain via the web searches described. The ethical material that make up these corpora were drawn from a total of 28 distinct RCTs.
The data and metadata are free to download (open access) on the UK Data Archive’'s ReShare without needing to register on the site at the following link: http://reshare.ukdataservice.ac

许可

CC BY-NC-SA 4.0

引用

学术使用请引用 DOI 10.5522/04/12168309.v1(source: https://rdr.ucl.ac.uk/articles/dataset/Corpora_of_patient_information_sheets_and_consent_forms_for_UK_cancer_trials_2007-2017/12168309)。

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