Toward automatic data curation for open data

In recent years large amounts of data have been made publicly available: literally thousands of open data sources exist, with genome data, temperature measurements, stock market prices, population and income statistics etc. However, accessing and combining data from different data sources is both non-trivial and very time consuming. These tasks typically take up to 80% of the time of data scientists. Automatic integration and curation of open data can facilitate this process