Three days of DataLad-Workshop & Hackathon in Aachen
Year: 2025
Type: other
Abstract: In everyday research, a lot of mostly heterogeneous data is generated, which is often processed and analyzed collaboratively. This involves complex workflows and ML pipelines consisting of numerous transformation and analysis steps.
DOI: 10.59350/7s2ac-jz008
Author: Fabian Riebschläger
Institution: Deutsches Archäologisches Institut, Zentrale
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4414523736
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