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Philanthrolab
  • Philanthrolab Technical Docs
  • SSN Component Library
  • Datalabs
    • Introduction
    • Architecture
    • Schema Dictionary
    • Project Status/Timeline
  • Social Safety Network
    • Introduction
    • Architecture
    • Schema Dictionary
    • Project Status/Timeline
      • V1
      • V2
  • SSN for Organisations
    • Introduction
    • Features and user stories
    • Architecture
    • Schema Dictionary
    • Project Status/Timeline
  • Developer Resources
    • Frontend Project Guide
    • Coding Guide
    • Creating a Neo4j instance on GCP vm
    • Set up local deploy for staging and production envs
    • Install ElasticSearch on GCP
    • ElasticSearch Query
    • ETL Strategy for Neo4j Database: Scraping, Transformation, and Enrichment
    • ETL Checklist
  • SSN Authentication
    • Introduction
    • Architecture
    • Schema
  • SSN Admin Dashboard
    • Introduction
    • Architecture
  • SSN Job Board
    • Introduction
    • Architecture
    • User Stories
    • Schema Dictionary
  • SSN Eligibility criteria AI feature
    • Introduction
    • Working Principles
    • Architecture
    • Schema Dictionary
  • DataBase Repopulation
    • Introduction
    • Proposed Solution
    • DB Details
    • Batch 1
  • LLM INTEGRATION
    • LLM Strategy and Implementation
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On this page
  • What is Datalabs
  • Proposed Features
  • Data Description
  • Upload data
  • Client-side Data preprocessing
  • Search

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  1. Datalabs

Introduction

An introduction to Philanthrolab Datalabs

PreviousSSN Component LibraryNextArchitecture

Last updated 4 years ago

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What is

Datalabs a centralized data warehouse or data lake where users can:

  • Search for data on various topics

  • Perform client-side statistical analyses on data

  • Visualize the data

  • Perform ML operations data

  • Export data to various formats

  • Upload data which they can make private or public

The overarching idea is that citizens, individuals, companies, and governments have access to any data they need and the tools to make that data actionable.

Proposed Features

Data Description

Data description process allows the user to extensively describe the data before they can be allowed to upload it. Data description form fields will follow the FDS schema as explained in the .

Upload data

Data can be uploaded by any registered user on the platform as long as the data pass verification checks.

Client-side Data preprocessing

Support for browser-based data preprocessing functions like filtering and wrangling of data.

Search

Support for full text-based search. That means, users can search for all indexed data using natural language queries.

Datalabs
architecture page