SayPro Documents Required from Employee:

SayPro Data Sets and Sources: Documentation of all data collected, including sources and methodologies.

SayPro Data Sets and Sources: Documentation Framework

🎯 Purpose:

To provide a centralized, well-organized record of all primary and secondary data, including metadata, collection methods, update frequencies, and source credibility. This supports replication, auditing, and evidence-based decision-making.

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1.SayPro Data Documentation Template (Per Dataset)

Field	Description
Dataset Name	Youth Employment Survey – Q1 2025
Source Type	Primary (survey), Secondary (World Bank, Stats SA, etc.)
Originating Institution	SayPro Research Team, Department of Labour, AfDB
Date Collected / Updated	March 2025
Geographic Coverage	Gauteng, KwaZulu-Natal, Eastern Cape
Target Population / Sample Size	Youth (ages 18–35), n = 2,000 respondents
Methodology	Stratified random sampling + mobile surveys (KoboToolbox)
Indicators Measured	Employment status, job type, monthly income, access to training
Frequency of Collection	Quarterly
File Format / Location	Excel (.xlsx) – Stored in Google Drive under /Data/2025/Q1
Contact Person	Dr. Nomsa Mokoena – Lead Economist, SayPro
Access Restrictions	Internal Use Only / Partner Access / Public
Notes	Includes disaggregated gender and regional data

✅ Recommended Format: Excel or Airtable database with filters and dropdowns

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2.SayPro Common SayPro Data Sources

🔹 Primary Data

• SayPro Surveys (Youth employment, SME mapping, digital access)
• Focus Groups & Interviews (community leaders, entrepreneurs)
• Program Monitoring Data (e.g., training completions, job placements)
• Mobile Data Collection Tools: KoboToolbox, ODK, SurveyCTO

🔹SayPro Secondary Data

Source	Type of Data
Stats SA	GDP, employment, education stats
World Bank Open Data	Macroeconomic indicators
IMF Data Mapper	Forecasts, inflation, fiscal policy
African Development Bank	SME development, infrastructure data
UNESCO / ILO	Skills, education, labor data
FinScope	Financial inclusion and behavior
DHS (Demographic Health Survey)	Household and wellbeing data
SayPro Partner Platforms	Custom dashboards and shared datasets

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3.SayPro Methodology Documentation (Per Project)

Each major report or research product should include a Methodology Annex, documenting:

• Sampling Framework & Rationale
• Data Collection Tools (questionnaires, APIs, etc.)
• Ethical Considerations
• Limitations / Biases
• Cleaning & Validation Process
• Data Merging & Weighting Details

📎 Attach as a PDF or Word document linked to each dataset record

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4.SayPro Central Storage & Access

• Primary Repository: Google Drive / SharePoint / Dropbox Business
• Index Sheet: One master Excel or Notion table that catalogs all datasets
• Access Rights: Role-based (Admin, Analyst, External Partner, Viewer)
• Backups: Weekly auto-backups on AWS S3 or external drives

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SayPro Best Practices Checklist

• All datasets clearly named and versioned (e.g., Youth_Survey_Q1_2025_v2)
• Metadata filled in for every file (source, geography, method, date)
• Folder structures standardized by year and sector
• Quarterly audits to remove duplicates and outdated files
• Methodologies peer-reviewed and archived

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