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SUMMARY:Data Literacy and Research Data Management: Upskilling Your Data C
 ompetencies for Your Thesis
DTSTART:20261026T110000Z
DTEND:20270208T130000Z
DTSTAMP:20261008T224100Z
UID:indico-event-399@events.academiccloud.de
DESCRIPTION:Speakers: Barbara Loehde (ULSB)\, Merle Schatz (ULSB)\n\nMonda
 ys\, 12–2 PM (c.t.)\, weekly from 26.10.2026 to 08.02.2027No class on: 2
 8.12.2026 and 04.01.2027\nCollecting\, documenting\, securing data\, analy
 zing – every thesis runs into these challenges\, yet few students are ev
 er taught how to handle them properly. This course teaches you the essenti
 als of data literacy and research data management\, using your own BA or M
 A project as your working example.\nThis course is aimed at BA and MA stud
 ents in their qualification phase and introduces the core competencies nee
 ded to handle research data in line with principles of good scientific pra
 ctice and the FAIR principles (Findable\, Accessible\, Interoperable\, Reu
 sable). It focuses on developing data literacy across key competence areas
  such as data collection\, data management\, data evaluation\, data interp
 retation\, and the underlying conceptual framework. Particular attention i
 s given to data management\, which is practiced across all phases of the r
 esearch data life cycle – using your own BA or MA project as a working e
 xample\, from planning to collecting\, documenting\, organizing\, storing\
 , and sharing data.\nThe course is primarily intended for Bachelor and Mas
 ter students from the social sciences and humanities who are at least in t
 he initial planning phase of their BA or MA thesis.\nUpon successful compl
 etion of the course\, you will be able to:\n\nunderstand the fundamental c
 oncepts of data literacy (DL) and research data management (RDM)\nmanage d
 ata in a structured\, effective\, transparent\, and ethical manner\, in ac
 cordance with the guidelines of good scientific practice and the FAIR prin
 ciples\nwrite your own data management plan (DMP)\ncritically evaluate\, a
 nalyze\, and interpret data\, including its collection\, management\, anal
 ysis\, storage\, and reuse\n\nImportant Information for Students across Lo
 wer Saxony\nThis seminar is a 4 ECTS key competence module (Module SQ.SoWi
 .60) offered by the Faculty of Social Sciences at the University of Götti
 ngen and is open to all students enrolled at universities in Lower Saxony.
 \nUpon successful completion of the course\, you can receive a micro-crede
 ntial from the University of Göttingen\, so that your acquired data liter
 acy competencies remain verifiable through the certificate.\nFor questions
  on certification and registration please feel free to contact Barbara Lö
 hde: barbara.loehde@sub.uni-goettingen.de\n---\nDie Veranstaltung wird von
  der Landesinitiative Forschungsdatenmanagement Niedersachsen (FDM-NDS) or
 ganisiert. FDM-NDS ist ein Verbundprojekt unter dem Dach der Hochschule.di
 gital Niedersachsen und wird im Rahmen von zukunft.niedersachsen\, einem F
 örderprogramm von Niedersächsischem Ministerium für Wissenschaft und Ku
 ltur (MWK) und VolkswagenStiftung gefördert.\n\nhttps://events.academiccl
 oud.de/event/399/
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URL:https://events.academiccloud.de/event/399/
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