Research Data Collection & Organization
Budget: $30 – $250 USD
Dear
Data collection and organization for research datasets (EU27, S&P500, STOXX600, or similar sources)
Project description:
I’m looking for a detail-oriented freelancer to assist with data collection and structuring for research purposes. The project involves compiling, organizing, and documenting data from reliable public sources — such as Eurostat, IMF, World Bank, AMECO, Yahoo Finance, Refinitiv, or corporate reports — according to a predefined structure.
The dataset may cover:
Country-level data (e.g., EU27, OECD), or Firm-level data (e.g., S&P500, STOXX600).
Specific variables and templates will be provided after selection.
This is a data preparation and standardization task, not analysis.
Main tasks:
a) Collect data from listed official or public sources
b) Structure the data into a panel format (country/company × year × variables)
For each variable, provide:
Source URL
Download date
Unit or definition
Deliver final files in .xlsx and .csv formats
Include a short documentation file (readme.txt or separate sheet) describing variables and sources
Requirements:
Accuracy and clarity in data handling
Only verifiable, public data sources
Missing values clearly marked as NA
Must sign a Non-Disclosure Agreement (NDA)
Advantage: experience with Excel, Python/R, or statistical databases
Deliverables:
1 .xlsx file
1 .csv file
1 documentation file (readme.txt or sheet)
Data collection and organization for research datasets (EU27, S&P500, STOXX600, or similar sources)
Project description:
I’m looking for a detail-oriented freelancer to assist with data collection and structuring for research purposes. The project involves compiling, organizing, and documenting data from reliable public sources — such as Eurostat, IMF, World Bank, AMECO, Yahoo Finance, Refinitiv, or corporate reports — according to a predefined structure.
The dataset may cover:
Country-level data (e.g., EU27, OECD), or Firm-level data (e.g., S&P500, STOXX600).
Specific variables and templates will be provided after selection.
This is a data preparation and standardization task, not analysis.
Main tasks:
a) Collect data from listed official or public sources
b) Structure the data into a panel format (country/company × year × variables)
For each variable, provide:
Source URL
Download date
Unit or definition
Deliver final files in .xlsx and .csv formats
Include a short documentation file (readme.txt or separate sheet) describing variables and sources
Requirements:
Accuracy and clarity in data handling
Only verifiable, public data sources
Missing values clearly marked as NA
Must sign a Non-Disclosure Agreement (NDA)
Advantage: experience with Excel, Python/R, or statistical databases
Deliverables:
1 .xlsx file
1 .csv file
1 documentation file (readme.txt or sheet)