**Apologies for cross posting** If you or your organization works with or manages data sets, don’t miss this new NISO Virtual Training series launching in April! Quality Assurance of Data Sets <https://www.niso.org/events/quality-assurance-data-sets-2023-niso-training-series> Thursdays, 11:00 am–12:30 pm EDT (US/Canada) April 27–June 13, 2023 This eight-week course on Quality Assurance of Data Sets will cover three main topics: Cleaning, Provenance, and Discoverability. Participants will learn about the importance of data quality and its impact on decision-making, as well as techniques for improving data quality. By the end of the course, participants will be able to: - Use data cleaning techniques to detect and correct errors, missing values, and inconsistencies in data sets - Understand and capture data provenance information to track and explain data cleaning operations - Understand the impact of data cleaning on downstream analysis and detecting intentional and unintentional problems in data. Event Sessions Thursday, April 27, 2023: Introduction to Data Quality Assurance Thursday, May 4, 2023: Cleaning Data Sets Thursday, May 11, 2023: Data Provenance Thursday, May 18, 2023: Provenance for Data Cleaning Thursday, May 25, 2023: Discoverability Thursday, June 1, 2023: Data Catalogs and Repositories Thursday, June 8, 2023: Data Quality Assessment & Fraud Detection Thursday, June 15, 2023: Data Quality Management Training Facilitator: Dr. Leslie McIntosh, VP of Research Integrity at Digital Science Guest lecturers may be featured in some sessions—check the event page <https://www.niso.org/events/quality-assurance-data-sets-2023-niso-training-series> for updates. Register here <https://www.eventbrite.com/e/quality-assurance-of-data-sets-a-2023-niso-training-series-tickets-600826717887>. Discount available for NISO Voting Members/LSA Members. Early bird registration deadline is Tuesday, April 18, 2023. Recordings will be available for those who cannot attend the live broadcast(s). Sign-on information will be sent to registrants three business days before each session. Please note that it is not possible to register for individual program segments or lectures. Data quality is critical to research integrity and making informed decisions, so be sure to take this unique opportunity to learn from the experts! Best wishes, The NISO Team NISO 3600 Clipper Mill Road, Suite 302 Baltimore, MD 21211 Phone: 301.654.2512 E-mail: [log in to unmask] ######################################################################## to manage your DLF-ANNOUNCE subscription, visit https://www.diglib.org/announce