<div dir="ltr"><div dir="ltr"><div dir="ltr"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial">Hi Open Science Cluster!</span></span></font><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></div><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><font size="2"><span style="font-family:arial,sans-serif">Please join us for our cluster<span> </span><span>telecon</span><span> </span>next<span> </span><b>Tuesday,</b><span> </span><b>July 25</b>,<b><span> </span>from</b><span> </span><b>9-10 am PT / 12-1 pm ET</b>. We will continue our webinar series with <span><span><span dir="ltr"><a href="https://irenepasquetto.github.io/" target="_blank">Irene Pasquettto</a> from the University of Maryland, who will present on<b> "</b></span></span></span></span></font><b>What is research data “misuse”? And how can it be prevented or mitigated?</b><font size="2"><span style="font-family:arial,sans-serif"><span><span><span dir="ltr"><b>"</b></span></span></span></span></font></div><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></div><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><font size="2"><span style="font-family:arial,sans-serif"><b>Summary of Talk</b>: </span></font>There are many good reasons to incentivize the sharing and reuse of research data, including to reproduce research, to make public assets available to the public, to leverage investments in research, and to advance collaboration and innovation in science. Often, reuse of open data leads to the production of new, urgently needed knowledge. Thus, researchers and funding agencies alike are increasingly expected, and in some cases mandated, to release research data for reuse by others. However, fears of data “misuse” can impede the open sharing and reuse of research products, which in turn slows down scientific progress and lowers public trust in science and science institutions. The development and adoption of a shared framework for defining and preventing data misuse can help policymakers take important decisions about when and how to release crucial research data, evaluating the potential for public consumption of given research objects, and tailoring documentation and representation of research data to non-expert communities. Yet, defining data “misuse” broadly remains challenging. Within this presentation, in order to work towards a better understanding of the complexity of data misuse, I will discuss how researchers in a number of fields currently understand and define the practice of misusing research data including in pen science and data sharing practices, fairness in algorithms and computational data science, information and data literacy, science policy, science skepticism, and history of science. I will end with a discussion on how different domains describe and define data misuse and identify areas of overlap and disagreement. Finally, I propose a definition and a set of mitigation and prevention strategies.<br><br><font size="2"><span style="font-family:arial,sans-serif">You can view our upcoming and past meeting agendas in our running<span> </span><a href="https://docs.google.com/document/d/13sRtd7R3aMVoqxiWqPOTSXJjt0DOSeh_/edit#heading=h.tc3jy2cjmxvn" rel="noopener noreferrer" target="_blank">Cluster Notes Doc</a>.<br></span></font></div><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></div><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><div><font size="2"><span style="font-family:arial,sans-serif">You are also encouraged to<span> </span><a href="https://esip-all.slack.com/archives/C035BBPGG30" rel="noopener noreferrer" target="_blank">join the<span> </span><span><span><span><span>ESIP</span></span></span></span><span> </span><span><span><span>community</span></span></span><span> </span>on Slack</a><span> </span>if you haven't already! You'll find us on the<span> </span><b>#open-science</b><span> </span>channel.<br></span></font></div></div><div style="color:rgb(0,0,0);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><div><div><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></div><div><font size="2"><span style="font-family:arial,sans-serif"><b>Join Zoom Meeting:</b><span> </span><a href="https://esipfed-org.zoom.us/j/81704254783?pwd=cjQxZW1mUGZpdlg3MDdJUUp1ZGl6UT09" rel="noopener noreferrer" target="_blank">https://esipfed-org.zoom.us/j/81704254783?pwd=cjQxZW1mUGZpdlg3MDdJUUp1ZGl6UT09</a><br>Meeting ID: 817 0425 4783<br>Passcode: 784237</span></font></div><div><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></div><font size="2"><span style="font-family:arial,sans-serif">Best,</span></font></div><div><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></div><div><div><font size="2"><span style="font-family:arial,sans-serif">Morgan Wofford<br></span></font></div><div><font size="2"><span style="font-family:arial,sans-serif">2023<span> </span><span><span><span>Community</span></span></span><span> </span>Fellow</span></font></div></div></div></div></div></div>