AidData’s Media-Based Data Collection Methodology, Version 1.0
Apr 1, 2013
Austin M. Strange, Brian O’Donnell, Daniel Gamboa, Bradley Parks
Strange, A.M, O'Donnell, B., Gamboa, D., & Parks, B. 2013. AidData's Media-Based Data Collection Methodology: Version 1.0. Williamsburg, VA: AidData at William & Mary.
The "market" for global development finance is changing rapidly: while several large multilateral development banks and Western governments once acted as the primary sources of development assistance, the landscape now features a wide variety of actors with diverse interests and capabilities. Donors like China, Venezuela, Russia, and Iran together reportedly provide tens of billions of dollars of development finance each year, but do not participate in existing global reporting systems, making it difficult to gauge the nature, scope and impact of their activities and fueling uncertainty and speculation about the intentions of these non-Western donors.
In an attempt to help address this issue, in January of 2012 AidData conducted a pilot initiative using media-based data collection (MBDC) methods to track project-level Chinese development finance to Africa. The goal of AidData researchers was to to test whether MBDC methods can be a viable way to accurately gather and standardize project-level development finance information, specifically regarding bilateral and multilateral agencies that are unwilling or unable to disclose their data. We concluded—after sixteen months of developing, testing, and fine-tuning a pilot methodology—that MBDC methods can indeed be a valuable tool for gathering and standardizing project-level development finance information
This codebook outlines the set of procedures that were developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William and Mary and Brigham Young University during the MBDC China pilot. We initially employed these methods to achieve a specific objective: documenting the "known universe" of Chinese development finance projects in Africa from 2000 to 2011, as detailed in China’s Development Finance to Africa: A Media Based Approach to Data Collection. The procedures in this codebook constitute a flexible methodology that can be applied to broader research questions, and to track other development finance flows from donors outside the OECD’s Development Assistance Committee (better known as “Non-DAC donors”).
For updated versions of this pilot methodology, see AidData's TUFF Methodology, Version 1.1, AidData’s TUFF Methodology, Version 1.2, or AidData’s TUFF Methodology, Version 1.3.
For a full list of methodologies, see Research Methods.
AidData's TUFF Methodology, Version 1.1
Austin M. Strange, Brian O’Donnell, Daniel Gamboa, Bradley Parks, Charles Perla
AidData’s TUFF Methodology, Version 1.2
Austin M. Strange, Bradley Parks, Charles Perla, Harsh Desai
AidData's TUFF Methodology, Version 1.3
Austin M. Strange, Mengfan Cheng, Brooke Russell, Siddhartha Ghose, and Bradley Parks
Chinese Official Finance to Africa
AidData's Chinese Official Finance to Africa Dataset, 2000-2011, Version 1.0
The 1.0 version of AidData's Chinese Official Finance to Africa dataset tracks 1699 development finance activities in Africa from 2000 to 2011. The data includes both Chinese aid and non-concessional official financing.