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Unlocking heritage through Open Science: digitising biodiversity and beyond with DoeDat

Doe Dat: The crowdsourcing platform of Meise Botanic Garden
Authors: Van Assche, Ellen; Bogaerts, Ann; De Smedt, Sofie; Meeus, Sofie; Trekels, Maarten; Dillen, Mathias;

Unlocking heritage through Open Science: digitising biodiversity and beyond with DoeDat

Abstract

Meise Botanic Garden supports the principles of Open Science through DoeDat, a multilingual crowdsourcing platform. By engaging volunteer citizen scientists to transcribe labeled annotations from herbarium specimens, their historical data becomes digitally available. These enriched historical biodiversity data are then made openly available to scientific and broader communities by publishing them to our data portal botanicalcollections.be and to data aggregators such as the Global Biodiversity Information Facility (GBIF) and/or the upcoming Distributed System of Scientific Collections (DiSSCo) European research infrastructure. Thanks to a growing number of close collaborations with multiple Belgian and international heritage institutions, the scope of DoeDat has extended beyond botany and even biodiversity. DoeDat volunteers can participate in digitisation projects across multiple disciplines, ranging from historical notebooks, postcards and photographs to animal identification from camera trap footage. This multidisciplinary approach fosters a broader public engagement, supports public trust in science and allows for the transcription and annotation of diverse natural and cultural heritage collections that would otherwise be impossible due to the resources needed. DoeDat accelerates digitisation efforts and facilitates the extraction of enriched data by mobilizing an active community of volunteers. This enhances the scientific utility of collections while promoting public involvement in scientific research. The platform demonstrates the potential of citizen science to generate high-quality data and promote a positive connection between the public and scientific research.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Related to Research communities
Italian National Biodiversity Future Center