囊性纤维化目标产品概况：用于指导TPP开发的调查数据

数据集获取（Figshare）

• 源站标题：Cystic Fibrosis Target Product Profiles: survey data to inform TPP development
• DOI：10.25405/data.ncl.29911967.v2
• 发布日期：2025-10-30
• 文件数：5 个
• 文件总体积：147.57 KB
• 源站页面：https://data.ncl.ac.uk/articles/dataset/Cystic_Fibrosis_Target_Product_Profiles_survey_data_to_inform_TPP_development/29911967

命令行下载

curl -L -o "Delphi Survey Data- Round 2.csv" "https://ndownloader.figshare.com/files/57254006"
curl -L -o "High Level Survey Data.csv" "https://ndownloader.figshare.com/files/57254003"
curl -L -o "README.txt" "https://ndownloader.figshare.com/files/57254009"
curl -L -o "Delphi Survey Data- Round 1.csv" "https://ndownloader.figshare.com/files/57254012"
curl -L -o "Table of Characteristics based on the NTM TPP (TPP4).docx" "https://ndownloader.figshare.com/files/59124536"

文件清单

• Delphi Survey Data- Round 2.csv（18.45 KB）
• High Level Survey Data.csv（56.91 KB）
• README.txt（3.41 KB）
• Delphi Survey Data- Round 1.csv（48.66 KB）
• Table of Characteristics based on the NTM TPP (TPP4).docx（20.15 KB）

文件总体积 147.57 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

Diagnostics are key to the appropriate detection, treatment and management of many conditions and associated health implications. People with cystic fibrosis are susceptible to recurrent pulmonary infections that over time contribute to deterioration and degeneration of the lung. Launched in 2019, the Cystic Fibrosis (CF) Antimicrobial Resistance (AMR) Syndicate was formed to accelerate the translation and adoption of new CF antimicrobials and diagnostics to the clinic through collaboration (https://cfamr.org.uk/), bringing better treatment options to people with CF, faster.
To catalyse the development of new diagnostics, the CF AMR Syndicate, together with the Newcastle NIHR HealthTech Research Centre (formerly Newcastle NIHR MIC), has worked with the wider community to understand the unmet diagnostic needs and develop a suite of Target Product Profiles (TPPs) for CF lung infection diagnostics. The intention of this is to drive diagnostic discovery, focusing efforts where they are needed the most. Although developed in the UK with input from UK based experts and people with CF, we intend for the impact of these TPPs to be global.
This project involved three main phases, sandwiched between planning and management activities, and a dissemination strategy programme, all guided by an expert advisory group.
Phase 1 involved a landscape analysis to identify and prioritise unmet diagnostic needs via multiple focus groups of clinical experts and people with Cystic Fibrosis (pwCF), as well as a scoping review of the diagnostic space and available diagnostic tests (https://doi.org/10.1016/j.resinv.2024.07.005).
Phase 2 involved drafting the TPPs using existing literature and regulatory documentation, focus groups, one-to-one interviews with key opinion leaders (KoLs), and a web-based survey, to define ‘minimal’ and ‘optimal’ characteristics for each TPP.
Phase 3 refined and validated the TPP content through additional interviews, a two-round modified Delphi exercise, and a virtual symposium.
These data are from phase 2 of this study (the web based survey) and phase 3 (two-round Delphi exercise).
The files are the survey data for each phase (anonymised)
Plus the table of

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.25405/data.ncl.29911967.v2（source: https://data.ncl.ac.uk/articles/dataset/Cystic_Fibrosis_Target_Product_Profiles_survey_data_to_inform_TPP_development/29911967）。