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BEGIN:VEVENT
UID:news236@researchdata.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260629T140522
DTSTART;TZID=Europe/Zurich:20260901T140000
SUMMARY:Data Reuse: Best Practices and Challenges
DESCRIPTION:While the publication of research data has increasingly become 
 the norm in recent years\, the reuse of published data is often still in i
 ts infancy. Researchers are often unaware of this possibility or struggle
  to find suitable research data for their projects and to assess their qua
 lity for reuse. This raises important questions:\\r\\nHow can researchers 
 find and select suitable and FAIR data for reuse?How can researchers asses
 s the quality of published and unpublished data for reuse?What prevents re
 searchers from reusing data\, and how could this be facilitated?\\r\\nIn t
 his workshop\, guest lecturer Dr. Anna Daudrich will address the above que
 stions with the participants in three parts\, drawing on theoretical input
 \, practical use cases and hands-on exercises:\\r\\nFirst\, participants w
 ill receive a brief overview of recommendations\, best practices\, and sup
 port materials relevant to researchers for the reuse of data.Building on t
 his knowledge\, participants will engage in hands-on exercises in which th
 ey can apply and reflect on the concepts and approaches introduced earlier
 \, and contribute their own experiences.The workshop will conclude with an
  open discussion of challenges and barriers to data reuse and how data reu
 se can be encouraged and facilitated in research through concrete measures
 .\\r\\nParticipants are invited to bring examples of datasets or use cases
  they would like to share to discuss open questions\, challenges\, or thei
 r own experiences regarding data reuse.\\r\\nLecturer\\r\\nDr. Anna Daudri
 ch [https://www.zhaw.ch/de/ueber-uns/person/daud] (Research & Infrastructu
 re\, Hochschulbibliothek ZHAW)\\r\\nCourse Language: English\\r\\nData ste
 wards and other members of the university's RDM Network will be invited to
  this course by email. Other people who are interested in attending the co
 urse are asked to contact the coordinators of the Data Stewardship Program
  (researchdata@unibas.ch [mailto:researchdata@unibas.ch]).
X-ALT-DESC:<p>While the publication of research data has increasingly becom
 e the norm in recent years\, the reuse of published data is often still in
  its infancy.&nbsp\;Researchers are often unaware of this possibility or s
 truggle to find suitable research data for their projects and to assess th
 eir quality for reuse. This raises important questions:</p>\n<ul><li><span
 >How can researchers find and select suitable and FAIR data for reuse?</sp
 an></li><li><span>How can researchers assess the quality of published and 
 unpublished data for reuse?</span></li><li><span>What prevents researchers
  from reusing data\, and how could this be facilitated?</span></li></ul>\n
 <p>In this workshop\, guest lecturer Dr. Anna Daudrich will address the ab
 ove questions with the participants in three parts\, drawing on theoretica
 l input\, practical use cases and hands-on exercises:</p>\n<ul><li><span>F
 irst\, participants will receive a brief overview of recommendations\, bes
 t practices\, and support materials relevant to researchers for the reuse 
 of data.</span></li><li><span>Building on this knowledge\, participants wi
 ll engage in hands-on exercises in which they can apply and reflect on the
  concepts and approaches introduced earlier\, and contribute their own exp
 eriences.</span></li><li><span>The workshop will conclude with an open dis
 cussion of challenges and barriers to data reuse and how data reuse can be
  encouraged and facilitated in research through concrete measures.</span><
 /li></ul>\n<p>Participants are invited to bring examples of datasets or us
 e cases they would like to share to discuss open questions\, challenges\, 
 or their own experiences regarding data reuse.</p>\n<p><strong>Lecturer</s
 trong></p>\n<ul><li><a href="https://www.zhaw.ch/de/ueber-uns/person/daud"
  title="Julian Dederke" target="_blank">Dr. Anna Daudrich</a> (Research &a
 mp\; Infrastructure\, Hochschulbibliothek ZHAW)</li></ul>\n<p><strong>Cour
 se Language</strong>: English</p>\n<p>Data stewards and other members of t
 he university's RDM Network will be invited to this course by email. Other
  people who are interested in attending the course are asked to contact th
 e coordinators of the Data Stewardship Program (<a href="mailto:researchda
 ta@unibas.ch" title="researchdata@unibas.ch">researchdata@unibas.ch</a>).<
 /p>
DTEND;TZID=Europe/Zurich:20260901T170000
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