BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:232@researchweek.unc.edu DTSTART;TZID=America/New_York:20241025T120000 DTEND;TZID=America/New_York:20241025T130000 DTSTAMP:20240911T162828Z URL:https://researchweek.unc.edu/events/lunch-learn-data-management/ SUMMARY:Lunch &\; Learn: Data Management DESCRIPTION:Presented by the Office of the Vice Chancellor for Research\, t he Lunch & Learn series offers a platform for Carolina researchers and res earch staff to discuss their contributions to advancing UNC-Chapel Hill's research enterprise within North Carolina and beyond. Join us for lunch (v irtually) while each session spotlights a specific area of focus and featu res a panel of expert Tar Heels.\n\nCLE credit is available for all these events.\n\n\n Monday\, October 21: Core Facilities\n Tuesday\, October 22: Career-Building @ Carolina\n Thursday\, October 24: Research Communicatio ns\n Friday\, October 25: Data Management\n\nClick the session title above for more information\n\nData Management\nFriday\, October 25th\nPresented by: Research Data Management Core\n\nData is the basis of research\, and quality data management is necessary for the research process. Learn the l atest guidelines and best practices from UNC's Research Data Management Co re. \n\nPanelists\n\nModerator: Thu-Mai Lewis\, assistant director of Rese arch Data Stewardship\, Research Data Management Core\nDr. Thu-Mai Lewis ( she/her) serves as the Assistant Director of Research Data Stewardship for the Research Data Management Core. In this role\, Dr. Lewis oversees the planning\, development\, coordination\, and deployment of data management and sharing support services for the UNC research community. She has over a decade of experience in managing\, streamlining\, and executing research data curation and data repository ingest workflows\, and has led initiati ves to raise standards of data quality to include reproducibility as a ben chmark.\n\nDr. Lewis holds a PhD and an MS in information science with a c oncentration in archives and records management from the UNC School of Inf ormation and Library Science. Her research focuses on the impact of journa l-based data policies on researchers’ reproducible research practices. S he also has an MA and BA in art history from UNC. Dr. Lewis is a United St ates Air Force veteran.\n\n\n\nStan Ahalt\, dean of the UNC School of Data Science and Society\nDr. Stan Ahalt is the inaugural dean of the UNC Scho ol of Data Science and Society as of June 2022. Ahalt was previously the d irector of the Renaissance Computing Institute (RENCI) at UNC-Chapel H ill and continues to serve at RENCI as the executive advisor and domain sc ientist for team science. He is also currently the associate director of i nformatics and data science (IDSci) at the North Carolina Translational an d Clinical Sciences Institute (NC TraCS) at UNC-Chapel Hill and a professo r in the department of computer science in the College of Arts & Sciences. \n\nAhalt has a passion for applying data science through a team science a pproach to address the most pressing challenges affecting society\, includ ing COVID-19\, weather and climate\, the opioid and pain management crises \, big data management\, biomedical treatment discovery\, and bias in the court system. In his years as Director of RENCI\, Ahalt was instrumental i n launching two major data science initiatives: The National Consortium fo r Data Science (NCDS)\, a public-private partnership to address big data c hallenges and opportunities in research and business\, and iRODS\, an effo rt to develop a branch of the popular integrated Rule-Oriented Data System as enterprise-quality software\, complete with rigorous testing and a rob ust\, feature-rich code base.\n\nThrough $34.5 million in funding in the l ast five years\, Ahalt has positioned RENCI and UNC-Chapel Hill as a natio nal leader in the coordination of large\, collaborative\, and complex fede ral data science grants.\n\n\n\nJonathan Crabtree\, director of Research D ata Management Core\nJonathan Crabtree is the recently appointed inaugural Director of the Research Data Management Core (RDMC) at UNC Chapel Hill. He was previously the Director for Research Data Information Systems at th e HW Odum Institute for Social Science. The institute’s social science d ata archive is one of the oldest and most extensive in the United States. As director\, Crabtree completely revamped the institute’s technology in frastructure and has positioned the institute to assume a leading national as well as international role in information archiving.\n\nCrabtree’s e xperience in social science\, information science\, information technology and networking as well as his engineering background bring different pers pectives to his current role. Crabtree joined the institute over 30 years ago and is responsible for designing and maintaining the technology infras tructure that supports the institute’s wide array of services. Before mo ving to the social science side of campus he was an information systems te chnologist for the University of North Carolina at Chapel Hill School of M edicine. His grounding in medical information technology adds to his educa tion and training in electrical engineering\, library and information scie nce\, digital preservation\, computer science\, economics\, geographic inf ormation systems\, hydrology and geomorphology. His Ph.D. in Information S cience is from the UNC School of Information and Library Science with his research focused on the auditing of trusted repositories.\n\n\n\nAshok Kri shnamurthy\, director of RENCI\nAshok Krishnamurthy is the Director of the Renaissance Computing Institute (RENCI) and a Research Professor of Compu ter Science at UNC-Chapel Hill. He is also the Co-director for Informatics and Data Science (IDSci) at NC TraCS. Krishnamurthy has many years of exp erience with informatics and data science including data science cyberinfr astructure\, medical image analysis\, time-series data analysis\, machine learning and high performance computing.\n\nHe has over 15 years’ experi ence as both a researcher and an administrator in advancing cutting-edge r esearch in interdisciplinary teams. Krishnamurthy collaborates with resear chers in informatics\, biomedical and health research\, and social science s to develop projects and programs that leverage the power of data science and scalable computing to solve challenging problems that advance the sta te-of-the-art. He advises undergraduate and graduate students and mentors post-doctoral scholars and junior investigators.\n\nAshok’s research ove r the years has been funded by NSF\, NIH\, DoD\, DARPA and DOE. Krishnamur thy holds PhD and master’s degrees in electrical and computer engineerin g from the University of Florida and a bachelor’s degree in electrical e ngineering from the Indian Institute of Technology.\n\n\n\nHelen Tibbo\, p rofessor in the UNC School of Information & Library Science\nDr. Helen R. Tibbo teaches in the areas of archives and records management\, digital pr eservation and access\, appraisal\, trustworthy repositories\, and data cu ration. She is the Alumni Distinguished Professor at the UNC School of Inf ormation and Library Science (SILS) and directs the master’s program in Digital Curation and Management. She also developed the Archives and Recor ds Management (ARM) concentration at SILS.\n\nMost recently\, she received IMLS funding for “Curating Research Assets and Data using Lifecycle Edu cation: Data Management Education Tools for Librarians\, Archivists\, & Co ntent Creators” or CRADLE\, a project that funded the creation of the Re search Data Management and Sharing MOOC. ATTACH;FMTTYPE=image/jpeg:https://researchweek.unc.edu/wp-content/uploads/ 2024/08/LL-mainphotos_LL-Green-scaled.jpg CATEGORIES:CLE Credit Event,Featured Event,Lunch and Learns,Office of the Vice Chancellor for Research,Research Data Management Core,Virtual Event LOCATION:https://unc.zoom.us/webinar/register/WN_2XlPE5plR5-nETH4mccz9g END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR