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)