Research Data Management Strategy

Given the increasing relevance of unstructured and semi-structured data in empirical research in business, economics and related fields, we propose to establish a holistic data management approach. The approach considers data management processes that are based on the UK Data Archive Lifecycle and governed by four major pillars, such as data governance (including data ethics), data integration and inter-operability, data quality (including data cleansing, data integrity, data enrichment as well as data quality assurance) and data management infrastructure (including database and storage management).