BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME;VALUE=TEXT:Love Data Week: Data Availability Statements: Ensure Research Reproducibility Online
PRODID:-//Harvard events data//EN
BEGIN:VEVENT
UID:event_1389853_0
SUMMARY:Love Data Week: Data Availability Statements: Ensure Research Reproducibility Online
DESCRIPTION:<p style="margin:0in">	<em><span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><a data-url="https://lovedataweek.org/about-ldw/" href="https://lovedataweek.org/about-ldw/" target="_blank" title="">Love Data Week</a><u><span style="line-height:16.66666603088379px">,</span></u><span style="line-height:16.66666603088379px"> February 8-12th this year,</span> <span style="line-height:16.66666603088379px">is dedicated to spreading awareness of the importance of research data management, sharing, preservation, and reuse. These webinars, available to the Harvard community, will offer strategies for implementing good data practices including developing a data management plan.</span></span></span></span></em><br> </p><h2>	<span style="caret-color:#000000"><span style="font-weight:normal"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px"><a data-url="https://libcal.countway.harvard.edu/event/7416127" href="https://libcal.countway.harvard.edu/event/7416127" target="_blank" title="">Data Availability Statements: Ensure Research Reproducibility Online Love Data Week: Resource Tour 2021</a></span></span></span></span></span></h2><div>	<strong>Date: Thursday, February 11, 2021</strong></div><div>	<strong>Time: 12:00pm - 1:00pm</strong></div><div>	<strong><span style="caret-color:#000000"><span style="font-weight:normal"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Please register <a data-url="https://libcal.countway.harvard.edu/event/7416127" href="https://libcal.countway.harvard.edu/event/7416127" target="_blank" title="">here</a> to receive the Zoom webinar instructions.</span></span></span></span></span></strong></div><p>	<span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Show your data some love! Data Availability Statements provide information about where data supporting the results reported in a published article can be found. They are a key resource for the future credence of a manuscript. These statements help facilitate FAIR Data Principles–findable, accessible, interoperable, and reusable–so that other researchers can locate and meaningfully use your data. </span></span></span></span></p><p>	<span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">In this session, we will create useful Data Availability Statements and apply FAIR Data Principles for ensuring data availability facilitates reproducibility.</span></span></span></span></p><p>	<span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Learning Objectives:</span></span></span></span></p><ul style="margin-left: 40px;">	<li>		<span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Identify the elements of Data Availability Statements with illustrative examples</span></span></span></span>	</li>	<li>		<span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Apply FAIR Data Principles to data availability</span></span></span></span>	</li>	<li>		<span style="caret-color:#000000"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Learn simple tips for writing a useful Data Availability Statement</span></span></span></span>	</li></ul><p>	<strong><span style="caret-color:#000000"><span style="font-weight:normal"><span style="-webkit-text-size-adjust:auto"><span style="line-height:20px"><span style="line-height:16.66666603088379px">Instructor: Julie Goldman, Research Data Services, Countway Library, julie_goldman@hms.harvard.edu</span></span></span></span></span></strong></p><p>	 </p>
LOCATION:
STATUS:CONFIRMED
DTSTART:20210211T170000Z
DTEND:20210211T180000Z
END:VEVENT
END:VCALENDAR