Study Day 2024
Introduction
Encouraged by the success of the first two editions of the Study Day - in 2022 and 2023, the DARIAH-CH consortium organizes its 2024 edition, which takes place at the Basel Academy of Art and Design FHNW on 22 November.
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The theme of this years' edition is:
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Between FAIR and CARE: challenges and opportunities for data management
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In the last years, the FAIR [Findable, Accessible, Interoperable, Reusable] guiding principles for scientific data management stewardship (Wilkinson et al., 2016) have become watchwords in Arts and Humanities. According to these principles, a special attention is being given to data and metadata that must be:
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easy to find easy to find by both humans and machines
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stored for the long-term such that they can be easily accessed and used by machines and humans using standard communication protocols
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ready to be exchanged, interpreted and combined in a (semi)automatic way with other data sets by humans and machines
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sufficiently well-described to allow data to be reused in future research, allowing for integration with other compatible data sources (SNSF Explanation of FAIR data principles)
Parallely, in 2019, the Global Indigenous Data Alliance released the CARE [Collective benefit, Authority to control, Responsibility, Ethics] Principles for Indigenous Data Governance. The CARE Principles explain that the use of Indigenous data should result in tangible benefits for Indigenous collectives through inclusive development and innovation, improved governance and citizen engagement, and result in equitable outcomes (Caroll et al. 2021). When applied to the context of scientific data, the CARE principles refer to how scientific data are used in ways that are purposeful and oriented towards enhancing wellbeing of people. A CARE-compliant data management is ethically and socially responsible.
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Program
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Call for contributions: data pitches
We open a call for data pitches on research data in arts and digital humanities: we invite researchers - especially PhD students and postdocs - to present their research data (type, particularities) and to discuss what challenges they encounter in relation to the data management in the context of FAIR and/or CARE principles. Solved or unanswered challenges are equally possible. We also welcome pitches on data that has not been yet collected and which would present particular challenges when it comes to the tension between FAIR vs. CARE approaches to data management.
If you want to pitch your project to experts (data stewards and other data management experts) and the members of the scientific community, please submit a 500 words abstract with a description of your project, your data and your challenges. Submissions should be sent before 30 September 2024 (first call deadline). The call deadline is extended until October 15, 2024.
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We are looking forward to reading your abstracts!
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Organizing committtee:
Linda Ludwig (FHNW)​
Tabea Lurk (FHNW)
Cristina Grisot (DARIAH-CH)
Rita Gautschy (DaSCH, DARIAH-CH)
Tobias Hodel (UNIBE)
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Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18
Carroll, S.R., Herczog, E., Hudson, M. et al. Operationalizing the CARE and FAIR Principles for Indigenous data futures. Sci Data 8, 108 (2021). https://doi.org/10.1038/s41597-021-00892-0
