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Biodiversity Data Journal: Readable by humans and machines

Publié le 03 octobre 2013 par Thérèse Hameau

The Biodiversity Data Journal (BDJ) and the associated Pensoft Writing Tool (PWT), launched on 16th of September 2013, offer several innovations – some of them unique – at every stage of the publishing process. The workflow allows for authoring, peer-review and dissemination to take place within the same online, collaborative platform.

Open access to content and data is quickly becoming the prevailing model in academic publishing, resulting in part from changes to policies of governments and funding agencies and in part from scientist’s desire to get their work more widely read and used. Open access benefits scientists with greater dissemination and citation of their work, and provides society as a whole access to the latest research.

To publish effectively in open access, it is not sufficient simply to provide PDF files online. It is crucial to put them under a reuse-friendly license and to implement technologies that allow machine-readable content and data to be harvested by computers that can collate small scattered data into a big pool. Analyses and modelling of community-owned big data are the only way to confront environmental challenges to society, such as climate change, ecosystems destruction, biodiversity loss and others.

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