From Data to Knowledge:  Chemical Data Management, Data Mining, and Modeling in Polymer Science

Data need to be transformed into knowledge for the greatest possible benefit to be derived from combinatorial and high-throughput experimentation. This review provides an overview of recent applications of data handling and data mining techniques in polymer science and discusses the development of quantitative structure−property relationships.