BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME;VALUE=TEXT:Data Management Offboarding: Essential Steps for a Smooth Transition
PRODID:-//Harvard events data//EN
BEGIN:VEVENT
UID:event_1457962_0
SUMMARY:Data Management Offboarding: Essential Steps for a Smooth Transition
DESCRIPTION:<a data-url="https://libcal.countway.harvard.edu/calendar/countway/offboarding" href="https://libcal.countway.harvard.edu/calendar/countway/offboarding" target="_blank" title="">REGISTER</a><p>	<em>This class is part of the Research Data Management Seminar Series</em></p><p>	Research Data Management is essential for responsible research and provides an opportunity for researchers to create a plan ensuring data will be organized and shared with other researchers, or archived for long term preservation.</p><p>	When employees leave, they take their skills and institutional knowledge with them. It is important to record essential informative information related to projects and datasets to ensure the success of future users.</p><p>	This training session will present a <strong><em>new</em> </strong>checklist designed to guide the knowledge transfer process. We will provide an overview of the various elements that should be addressed during employee offboarding from a research lab.</p><p>	Through hands-on activities, participants will engage with the checklists to review and understand the core tools available and foundational data management processes that should be included when offboarding an employee. The key take-away from this session will be how to incorporate the checklists within your individual lab.</p><p>	<strong>Audience</strong>: Faculty, Staff, Lab Managers.</p><p>	<strong>Location</strong>: Modell 100A Fred S. Rosen Lecture Hall</p><p>	<strong>Instructors</strong>: Julie Goldman, Research Data Services, Countway Library<br>Sarah Hauserman, Research Data Analyst, Research Information Technology Solutions<br>Meghan Kerr, Archivist and Records Manager, Center for the History of Medicine</p>
LOCATION:Modell 100A Lecture Hall
STATUS:CONFIRMED
DTSTART:20190916T180000Z
DTEND:20190916T200000Z
END:VEVENT
END:VCALENDAR