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Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity
Vishwas S Chavan1, Peter Ingwersen
1Global Biodiversity Information Facility Secretariat, Universitetsparken 15, DK 2100, Copenhagen, Denmark. vchavan@gbif.org
BMC Bioinformatics
|November 11, 2009
Summary
Primary scientific data, especially biodiversity data, is hard to find. A proposed Data Publishing Framework and Data Usage Index would incentivize data sharing and improve accessibility.
Area of Science:
- Biodiversity Science
- Data Science
- Information Science
Background:
- Primary scientific data, particularly biodiversity data, faces significant challenges in discoverability and accessibility.
- A key impediment is the lack of professional recognition for scientific data publishing efforts.
Purpose of the Study:
- To review the current state of primary biodiversity data publishing.
- To conceptualize a 'Data Publishing Framework' to incentivize data management and publishing.
- To propose the institutionalization of a 'Data Usage Index' (DUI) for recognizing data lifecycle contributions.
Main Methods:
- Literature review of current data publishing practices.
- Conceptual framework development for data publishing incentives.
- Postulation of a data usage index for multi-stakeholder recognition.
Main Results:
- The study identifies a need for a structured approach to data publishing.
- A 'Data Publishing Framework' is proposed to encourage investment and effort in data management and sharing.
- A 'Data Usage Index' (DUI) is conceptualized to provide recognition for data creators, managers, and publishers.
Conclusions:
- Implementing a 'Data Publishing Framework' can create a conducive environment for data sharing.
- This framework can accelerate the discovery and mobilization of 'fit-for-use' primary biodiversity data.
- Institutionalizing such a framework is expected to lead to a significant increase in accessible biodiversity data.
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