Aims
\nResearch data management (RDM) forms the cor nerstone of academic success\, enabling scholars to efficiently store\, or ganize\, document\, and share research data. In today's data-driven world\ , the ability to effectively manage and utilize data is crucial for innova tion\, collaboration\, and scholarly impact. International and Swiss resea rch funders are committed to promoting open science\, making the publicati on of research data increasingly important for the research community.
\nThe course emphasizes the significance of RDM in scholarly pursuits a
nd equips participants with essential skills for managing data throughout
the research lifecycle and making their data accessible and reusable.
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A special focus will be on discussing examples and issues from the
participants' own research projects. In addition\, the trainees will get
to know the RDM experts at the University of Basel and will have the oppor
tunity to learn directly from them about the RDM infrastructures\, tools a
nd services at our university.
Content
\nThe course covers the practical implications of research data management a nd provides an overview of regulatory frameworks and key principles such a s Open Research Data and FAIR data. We will explore various topics along t he life cycle of your research data\, such as writing a data management pl an\, storing\, organizing\, documenting\, publishing and reusing data. We will also look at data security and legal issues such as data protection a nd intellectual property rights that are relevant to RDM.
\nTheoreti cal inputs will be mixed with many interactive exercises and discussions. During a meet and greet session\, several experts from the university’s RDM Network will present their services and answer the specific questions of the participants.
\nWith its focus on managing data\, the worksho p is complementary to workshops on methods and tools for analyzing data.\n\n
Course dates:
\nThis course is offered by the Graduate Cente r (GRACE) and organized in cooperation with the Research Data Management N etwork. The course is part of GRACE's Transferable Skills course program. For more information and registration see: https://fortbildung.unibas.ch/courses/topics /dissertation/practical-strategies-for-effective-research-data-management- 302393. \;
DTEND;VALUE=DATE:20260505 END:VEVENT BEGIN:VEVENT UID:news226@researchdata.unibas.ch DTSTAMP;TZID=Europe/Zurich:20260310T105703 DTSTART;TZID=Europe/Zurich:20260428T140000 SUMMARY:Data Stewardship Conversations on RDM Use Cases Data and Informatio n Classification DESCRIPTION:At the event\, we will present the three use cases for RDM with the new data and information classification.\\r\\nAs part of our ongoing swissuniversities project\, we have conducted workshops with research grou ps at the university to adapt their RDM workflows to the new data and info rmation classification. The workshops have resulted in RDM guidelines and workflows for various data types\, which can be adapted by other researche rs to suit their own needs. All in all we conducted three use cases:\\r\\n At the Department of Pharmaceutical Sciences on the data type “digital s urvey data” (in cooperation with Eliane Garo)At the Institute for Biomed ical Ethics on the data type “qualitative data from interviews and focus groups” (in cooperation with Tenzin Wangmo)At the Institute of Nursing Science on the data type “routine data from healthcare providers” (in cooperation with Sarah Musy)\\r\\nWe would like to discuss the results of the three use cases with you and get your feedback.\\r\\nAs usual\, we wil l end the event with an informal chat over drinks and snacks.\\r\\nData st ewards and other members of the university's RDM Network will be invited t o this event by email. Other people who are interested in attending the ev ent are asked to contact the coordinators of the Data Stewardship Program (researchdata@unibas.ch [mailto:researchdata@unibas.ch]). X-ALT-DESC:At the event\, we will present the three use cases for RDM wi th the new data and information classification.
\nAs part of our ong oing swissuniversities project\, we have conducted workshops with research groups at the university to adapt their RDM workflows to the new data and information classification. The workshops have resulted in RDM guidelines and workflows for various data types\, which can be adapted by other rese archers to suit their own needs. All in all we conducted three use cases:< /p>\n
We would l ike to discuss the results of the three use cases with you and get your fe edback.
\nAs usual\, we will end the event with an informal chat ove r drinks and snacks.
\nData stewards and other members of the univer sity's RDM Network will be invited to this event by email. Other people wh o are interested in attending the event are asked to contact the coordinat ors of the Data Stewardship Program (researchdata@unibas.ch).
DTEND;TZID=Europe/Zurich:20260428T153000 END:VEVENT END:VCALENDAR