Our ex post survey harmonization package retroharmonize passed all automated tests and peer-reviews and was released today on CRAN.
We would like to validate our open source, open data, open collaboration based reproducible observatory concept with the Demo Music Observatory. All feedback is welcome.
The making of an automated and reproducible data tool for the music industry. A short video and a brief explanation.
The big day has come: the co-founders singed off the documents at the public notary and started the registration of a reproducible research start-up. Do you want to help us?
If your analytical work has used a certain type of data at least two times in the past, it is likely that the data will be needed again. This is a good time to make the data ingestion automatic and reproducible.
The very techincal terms of *ex ante* , *ex post* or retrospective harmonization hide opportunities that can significantly increase the value for money in empirical market research, potentially increasing the value of a high-cost, high-value survey to multiple times of its euro value.
The analytical functions of the package create the usual economic impact analysis, including direct effects, multipliers on gross value added, employment, CO2 or other factors. The package creates a programmatic interface to compare economic impact changes in time, or compare any country with any country in the European Union.
Creation of the economic impact assessement package iotables.