It is being built & used by the Open Contracting Data Standards project.
29 publishers, 38 datasets, 228 links to data.
Know of any datasets not listed here? We appreciate contributions.
We are analyzing the data on this site, to help inform the development of the Open Contracting Data Standard.
State bodies in the country of Georgia have to carry out de facto all their procurement (few exemptions exist) through a centralized e-procurement system that ...
From March-June, 2013, AidData, the Open Aid Partnership, and the Government of Nepal worked on a pilot exercise to collect and code procurement data in ...
Curious about what the San Mateo County (California) spends its money on? Our Open Checkbook is designed to allow you to easily find the information ...
Public works in Peru and other countries allow the development of peoples and the improvement of services. Today more than ever due to our economic ...
As part of the transparency policy for publication of major projects data the Major Projects Authority (MPA) has published its first annual report. It includes ...
State bodies in the country of Georgia have to carry out de facto all their procurement (few exemptions exist) through a centralized e-procurement system that ...
0 download links
The dataset contains construction contracts published by the Korea ON-line E-Procurement System (KONEPS). The dataset fields focus on company / supplier details, duration of contracts, ...
1 download link
The dataset represents a 3 month focus on on linking international aid projects to contracts. Public information on procurement was obtained from the World Bank, ...
1 download link
The dataset contains contract information on 54 agencies, 1151 vendors, 239 expenditure types in San Mateo County. The information can be searched by agency, vendor ...
8 download links
The dataset contains information on notices, awards and performance, published by INFObras. There are 4 manuals available for buyers, suppliers and the public. However, there ...
1 download link
To analyze existing contracting data, we are producing datamaps where we are trying to categorize all contracting fields into concepts that are common across all datasets. Below is a map of all the datasets that we have currently analyzed. The size of the dots has been normalized so that datasets are comparable (e.g. if you look at the European OpenTED dataset it has 9x the number of fields compared to UNOPS). The concepts (horizontal-axis) have been sorted so that we see the most the frequently used concepts are shown towards the left, and least frequently to the right.
