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Presentation . 2023
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Working towards an open, collaborative and reproducible data culture in archaeology

Authors: Plomp, Esther;

Working towards an open, collaborative and reproducible data culture in archaeology

Abstract

Invited talk by Esther Plomp on the 5th of May 2023 for the Bonn Center for ArchaeoSciences. Data sharing is part of the recent developments in opening up scientific research (a movement also known as Open Science/Scholarship). By opening up more aspects of research than just the final output in the form of a publication, the transparency of scientific research increases and reproducibility of results improves. Opening up the scientific process also promotes equitable access to resources, facilitates collaborations, and allows for the recognition of outputs other than the traditional scientific publication, such as data, code and analysis protocols. Many funders (for example, the European Commission and Wellcome) and publishers (such as the American Journal of Biological Anthropology) now also require researchers to share the data underlying publications whenever possible. This talk will go deeper into ethical considerations of data sharing and why data sharing is beneficial. You will be introduced to tools that facilitate data sharing, as well as communities where you can find support throughout your journey towards a more open, collaborative, and reproducible data culture.

Related Organizations
Keywords

Open Science, Archaeology, Open Data, RDM, CARE, Open Scholarship, Reproducibility, FAIR

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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