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<p class="MsoNormal"><span style="font-size:14.0pt">Dear community,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">We would like to encourage you to submit an abstract to our EGU session. The EGU General Assembly will take place in Vienna / online (23-28 April 2023).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Better ESS Research with Reproducibility Practices, Quality Information, and Provenance Metadata (https://meetingorganizer.copernicus.org/EGU23/session/45418)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">The goal of this session is to identify relations of reproducibility, quality information, and provenance with respect to facilitate research data management in Earth System Sciences (ESS).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Reproducibility of research is a cornerstone of science. Only transparent and openly licensed sharing of research artefacts enables other researchers to reuse and expand on other researcher's works. Reproducibility
is a complex topic that spans technology, research communities, and research culture, so in this session it shall be explored from two perspectives:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">First, one can argue that open and reproducible research (ORR) provides better quality information through transparency and sharing. The quality information from ORR allows going beyond limited research metrics
and can help to advance research. For example, openness & transparency (1) may make creators more careful in sharing research artefacts, (2) enables inspection by others, and (3) facilitates re-use of methods/tools with multiple use cases. Is there a straight
line that can be drawn from quality information from ORR to the quality of research and the impact of a piece of research?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Second, a crucial aspect to document results in research workflows is provenance and one can argue that provenance is a precursor to ORR and for providing accurate quality information. However, capturing provenance
metadata is (1) not an attractive topic, and (2) not supported by many tools. Can ORR be achieved without specific handling of provenance information?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">We welcome abstracts presenting novel methods and tools addressing at least one corner of the triangle of reproducibility, quality information, and provenance.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">We also invite contributions on perspectives on current challenges, studies on reproducibility vs. provenance and reproducibility vs. quality as well as reports on (un)successful reproductions<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">We look forward to fruitful talks and discussions and hope that you will consider participating onsite or virtually.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">You can submit your abstract here: https://meetingorganizer.copernicus.org/EGU23/abstractsubmission/45418 (Deadline 10 Jan 2023, 13:00 CET)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Please find general information about abstract submissions here:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">https://egu23.eu/programme/how_to_submit.html
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Please share this within your networks of interested colleagues.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Best regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt">Christin Henzen (TU Dresden), Daniel Nüst (TU Dresden), Joan Masó (CREAF), Ivana Ivánová (Curtin University), Tomasz Miksa (TU Wien)<o:p></o:p></span></p>
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