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UID:news2086@dg.philhist.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20240724T161405
DTSTART;TZID=Europe/Zurich:20241015T133000
SUMMARY:Crashkurs Research Data Management
DESCRIPTION:Course description\\r\\nProfessional research data management (
 RDM) is increasingly becoming an important prerequisite for a successful r
 esearch project and research career. This workshop teaches doctoral studen
 ts from the Department of History the basics of research data management a
 nd the FAIR data principles based on a use case. The use case presents an 
 exemplary workflow along the life cycle of research data: from project pla
 nning to publication. In hands-on exercises\, participants will gain an in
 sight into various tools that are useful for historical research. For exam
 ple\, Scan-Tent\, Tropy\, Zotero\, Transkribus\, TEI\, Large Language Mode
 ls (e.g. ChatGPT\, Claude\, Gemini\, llama etc.) for data extraction\, Nod
 egoat and LaTeX. The workshop thus offers opportunities to discuss relevan
 t RDM issues throughout the entire research process and prepares doctoral 
 students to apply RDM fruitfully to their own research.\\r\\n\\r\\nLearnin
 g objectives\\r\\nThe course aims to provide you with theoretical and prac
 tical knowledge about research data management in historical science. At t
 he end of the course\, you will...\\r\\n 	know and understand basic concep
 ts\, methods and tools for RDM and FAIR data with regard to historical sci
 ence. 	know how to properly plan for RDM from the beginning to the end of 
 your research project. 	be able to apply the gained knowledge to your own 
 research projects and research data. 	know the most important service prov
 iders for RDM at the University of Basel and the most important requiremen
 ts on RDM by the SNSF. \\r\\n\\r\\nParticipants: min. 6\, max. 20 particip
 ants\\r\\nCredits: 1 ECTS (learning contract with Marino Ferri)\\r\\nMetho
 ds / Tools: Theoretical inputs\, exercises\, group discussions\, hands-on 
 activities.\\r\\nRequirements: Participants will need a laptop for some of
  the exercises.\\r\\n \\r\\nTrainers\\r\\nOpen Science\, University Libra
 ry\\r\\n 	Christina Besmer (christina.besmer@unibas.ch [mailto:christina.b
 esmer@unibas.ch]) \\r\\n 	Markus Bossert (markus.bossert@unibas.ch [mailto
 :markus.bossert@unibas.ch]) \\r\\nResearch and Infrastructure Support (RIS
 E)\\r\\n 	Eric Decker (eric.decker@unibas.ch [mailto:eric.decker@unibas.ch
 ])\, Head of RISE 	Anthea Jeanne Alberto (antheajeanne.alberto@unibas.ch [
 mailto:antheajeanne.alberto@unibas.ch])\, Research Navigator
X-ALT-DESC:<h3><span><span><span><span><span>Course description</span></spa
 n></span></span></span></h3>\n<p>Professional research data management (RD
 M) is increasingly becoming an important prerequisite for a successful res
 earch project and research career. This workshop teaches doctoral students
  from the Department of History the basics of research data management and
  the FAIR data principles based on a use case. The use case presents an ex
 emplary workflow along the life cycle of research data: from project plann
 ing to publication. In hands-on exercises\, participants will gain an insi
 ght into various tools that are useful for historical research. For exampl
 e\, Scan-Tent\, Tropy\, Zotero\, Transkribus\, TEI\, Large Language Models
  (e.g. ChatGPT\, Claude\, Gemini\, llama etc.) for data extraction\, Nodeg
 oat and LaTeX. The workshop thus offers opportunities to discuss relevant 
 RDM issues throughout the entire research process and prepares doctoral st
 udents to apply RDM fruitfully to their own research.</p>\n\n<h3><span><sp
 an><span><span><span>Learning objectives</span></span></span></span></span
 ></h3>\n<p>The course aims to provide you with theoretical and practical k
 nowledge about research data management in historical science. At the end 
 of the course\, you will...</p>\n<ul> 	<li><span><span><span><span>know an
 d understand basic concepts\, methods and tools for RDM and FAIR data with
  regard to historical science.</span></span></span></span></li> 	<li><span
 ><span><span><span>know how to properly plan for RDM from the beginning to
  the end of your research project.</span></span></span></span></li> 	<li><
 span><span><span><span>be able to apply the gained knowledge to your own r
 esearch projects and research data.</span></span></span></span></li> 	<li>
 <span><span><span><span>know the most important service providers for RDM 
 at the University of Basel and the most important requirements on RDM by t
 he SNSF.</span></span></span></span></li> </ul>\n\n<p><strong>Participants
 :</strong> min. 6\, max. 20 participants</p>\n<p><strong>Credits:</strong>
  1 ECTS (learning contract with Marino Ferri)</p>\n<p><strong>Methods / To
 ols:</strong> Theoretical inputs\, exercises\, group discussions\, hands-o
 n activities.</p>\n<p><strong>Requirements:</strong> Participants will nee
 d a laptop for some of the exercises.</p>\n<h3>&nbsp\;</h3>\n<h3><span><sp
 an><span><span><span>Trainers</span></span></span></span></span></h3>\n<h4
 ><span><span><span><span><span>Open Science\, University Library</span></s
 pan></span></span></span></h4>\n<ul> 	<li><span><span><span>Christina Besm
 er (<a href="mailto:christina.besmer@unibas.ch" title="mailto:christina.be
 smer@unibas.ch">christina.besmer@unibas.ch</a>)</span></span></span></li> 
 </ul>\n<ul> 	<li><span><span><span>Markus Bossert (<a href="mailto:markus.
 bossert@unibas.ch" title="mailto:markus.bossert@unibas.ch">markus.bossert@
 unibas.ch</a>)</span></span></span></li> </ul>\n<h4><span><span><span><spa
 n><span>Research and Infrastructure Support (RISE)</span></span></span></s
 pan></span></h4>\n<ul> 	<li><span><span><span>Eric Decker (<a href="mailto
 :eric.decker@unibas.ch" title="mailto:eric.decker@unibas.ch">eric.decker@u
 nibas.ch</a>)\, Head of RISE</span></span></span></li> 	<li><span><span><s
 pan>Anthea Jeanne Alberto (<a href="mailto:antheajeanne.alberto@unibas.ch"
  title="mailto:antheajeanne.alberto@unibas.ch">antheajeanne.alberto@unibas
 .ch</a>)\, Research Navigator</span></span></span></li> </ul>\n\n
DTEND;TZID=Europe/Zurich:20241015T173000
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