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Other literature type . 2024
License: CC BY
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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Fast prototyping: CollectionBuilder's Minimal Computing Approach to Open-Source Collections and Exhibits

Authors: Mähr, Moritz;

Fast prototyping: CollectionBuilder's Minimal Computing Approach to Open-Source Collections and Exhibits

Abstract

In the digital humanities, researchers frequently aspire to create online collections or exhibits but often face challenges in defining their precise needs. This presentation explores CollectionBuilder, a Jekyll-based static site generator, as a solution for these challenges. By leveraging minimal computing principles, CollectionBuilder facilitates rapid prototyping of digital collections while maintaining essential features such as digital longevity, adherence to FAIR principles (findability, accessibility, interoperability, and reusability), enhanced accessibility for diverse audiences, and comprehensive metadata support. The talk will illustrate how CollectionBuilder's simplicity and efficiency, along with its extensive documentation and supportive open-source community, make it an ideal tool for developing sustainable, user-friendly digital humanities projects. Practical examples, including a case study of a project on the history of Basel, will demonstrate the platform's capabilities and effectiveness.

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Keywords

public history, minimal computing, online exhibition, digital history, online collection, digital humanities, research software engineering

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    influence
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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!
0
Average
Average
Average
Green