National Paediatric Diabetes Audit - survey of workforce in PDUs
This dataset is an organisational survey covering the workforce in paediatric diabetes units (PDUs) across England and Wales, based on the situation as of 31 March 2018. It includes results from all 173 PDUs, focusing on staffing and professional distribution within paediatric diabetes care teams. The data modality is tabular, used for evaluating and analyzing the resources and workforce of paediatric diabetes services.
Basic Info
About
This dataset is an organisational survey covering the workforce in paediatric diabetes units (PDUs) across England and Wales, based on the situation as of 31 March 2018. It includes results from all 173 PDUs, focusing on staffing and professional distribution within paediatric diabetes care teams. The data modality is tabular, used for evaluating and analyzing the resources and workforce of paediatric diabetes services.
Official Service
Dual Bases in Shaanxi & Sichuan × Direct Access to 10+ Grade-A Tertiary Hospitals
From compliant authorization and collection governance to professional annotation and dataset delivery, we provide a closed-loop, end-to-end service that makes high-quality clinical data ready to use.
⚡️ Need raw data or annotation support? Contact us for a custom solution.
Download
注册下载
Requires a Kaggle account and sign-in to download — suited for users who need to track download history or use the API.
Unavailable公开下载
No registration needed — directly access public samples or documents, ideal for quickly previewing and evaluating dataset quality.
Unavailable有偿下载
Entrusted download and technical delivery service for public datasets.
提供高速下载与技术交付服务（收技术服务费，非数据销售）
UnavailableThis dataset is primarily hosted publicly on Kaggle. For the complete image package, use the source link or the Kaggle API.
Usage
数据集获取
源站：https://healthdatagateway.org/en/dataset/576
标准获取流程：
- 访问源站链接，注册/登录账号；
- 进入数据集详情页，按页面指引申请权限或直接下载；
- 部分平台提供 SDK，例如：
- OpenDataLab:
pip install openxlab后openxlab.dataset.get(...) - ModelScope:
pip install modelscope后modelscope download - 天池: 登录后页面提供直链下载
以源站「数据下载/使用文档」页面为准。
- OpenDataLab:
数据加载示例（表格/文本类）
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
Data Gaps?
Backed by our bases in Shaanxi and Sichuan, we partner directly with over ten Grade-A tertiary hospitals, covering the full pipeline of compliant authorization, data collection and governance, professional annotation, and delivery — providing AI medical teams with ready-to-use, high-quality clinical data.
⚡️ Need data support or annotation services? Contact us now for a professional solution.
