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Indicators for the Data Usage Index (DUI): an incentive for publishing primary biodiversity data through global
Peter Ingwersen1, Vishwas Chavan
1Royal School of Library and Information Sciences, Birketinget 6, DK 2300, Copenhagen, Denmark.
We propose the Data Usage Index (DUI) to recognize publishers of biodiversity data. This index, based on search and download events, demonstrates the impact of data sharing across user communities.
Area of Science:
- Biodiversity Informatics
- Data Science
- Scientific Publishing
Background:
- A mechanism is needed to incentivize the publication of high-quality biodiversity data.
- Current systems lack a standardized way to measure the impact and usage of shared biodiversity datasets.
Purpose of the Study:
- To propose the development of a Data Usage Index (DUI) for biodiversity datasets.
- To provide a metric for data publishers demonstrating the reach and impact of their data.
Main Methods:
- Development of 14 absolute and normalized indicators for dataset usage.
- Utilizing search events and dataset download instances as primary metrics.
- Incorporating relative and species profile-weighted comparative indicators.
Main Results:
- A framework for the DUI has been proposed, integrating various usage metrics.
- The DUI can be constructed using data from the Global Biodiversity Information Facility (GBIF) and other sources.
- The index offers a novel way to understand user engagement with biodiversity data.
Conclusions:
- The DUI offers a valuable recognition mechanism for data publishers and stakeholders.
- It provides new insights into how primary biodiversity data are accessed and utilized.
- The DUI aligns with established citation-based recognition methods, enhancing data impact assessment.
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