When managing and providing effective stewardship to digital Earth Science data products in the era of Big Data and Open Data, reference frameworks for assessing dataset quality are key components in helping with the major challenges of consistently describing and systematically integrating quality information to diverse audiences of data users. The natural evolution of user base and data tools over time require continuous monitoring and flexible--but consistent--methods of rating and signaling data quality and maturity. This workshop consists of two sessions. The first session will bring together a panel of experts in the fields of exploring quantifiable measurements of product, stewardship, and service maturity levels for digital data in order to help data managers, data producers, or institutions to identify the strength and gaps in their procedures or practices applied to individual data products.The panel will examine the current states of the cutting-edge research, following by Q&A and panel discussion. The second session (http://commons.esipfed.org/node/9035) will provide updates on use case studies of various maturity assessment models, followed by training/working time for attendees to get familiar with and apply the assessment models, including the data stewardship maturity model, to their datasets. Inivited Panelists & Presentation Focus Areas John Bates, NOAA/NCEI - Reference Framework for Product Maturity Assessment Anna Privette, Climate Data Solution & NASA - Relevance of maturity identification to enhance the usability of the federal data Michael Brewer and Derek Arndt, NOAA/NCEI - Assessing Service Maturity through End User Engagement and Climate Monitoring Grace Peng, NCAR - Conveying data quality and suitability to diverse audiences of data users.
user-centered design (UI/UX) and data management/curation/stewardship: including but not limited to data life cycle, policies, sustainability, education and training, data quality, and trusted repositories.