A big-data revolution is under way in healthcare. There is a dramatic growth of data in healthcare, from Electronic Health Record, lab systems, pharmaceutical companies, insurance claims customer relationship management, to user-generated content in social media. Analytics of big data could change every inch of the nation's $3 trillion healthcare industry - from better patient outcomes to a more transparent healthcare system to more accessible and affordable care-all for the better.

The DaSH symposium will bring together renowned researchers in multiple disciplines, major companies, policy makers from government agencies, and thought leaders from leading technology associations in related fields to discuss the challenges, opportunities and future directions in leveraging big data for healthcare revolution. We also believe the DaSH symposium will foster collaboration across different disciplines and sectors for profound impact.

The theme of the DaSH 2017 Symposium is "Data Quality: Practices, Technologies and Implications". Data quality issues are ubiquitous in all applications, with incomplete data, duplicate data, incorrect data, inaccurate data, and inconsistent data. Dirty data pose technical challenges and have implications in practical applications. In this symposium, we will discuss several aspects in data quality. 1) What are the data quality issues in healthcare? 2) What are the state-of-art technologies to address data quality problems? and 3) What are other resources (e.g. standards, policies, etc.) and good practices to address data quality problems?