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haipipe-data-1-source

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Standardize raw data into structured SourceSets.

Education & Research#data pipeline#etl#research data#data standardization#source processing#data wrangling
Authorjluo41
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill transforms raw data files from various formats into a standardized, structured format called a SourceSet, making data ready for downstream processing in research and analytics pipelines.

Core Features & Use Cases

  • Data Ingestion: Reads diverse raw data formats (CSV, XML, Parquet, JSON).
  • Standardization: Converts data into a consistent SourceSet format (dictionary of DataFrames).
  • Pipeline Orchestration: Manages the execution of data transformation logic via Source_Pipeline.
  • Use Case: Process a collection of raw patient data files (e.g., EHR extracts, sensor logs) into a unified SourceSet that can be consistently fed into a patient record-building pipeline.

Quick Start

Run the haipipe-data-1-source skill to process the OhioT1DM dataset using the OhioT1DMxmlv250302 SourceFn.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: haipipe-data-1-source
Download link: https://github.com/jluo41/research-skills/archive/main.zip#haipipe-data-1-source

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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