“Event Date: Tuesday, November 14, 2017 at 1pm EST / 10am PST / 6pm UTC This webinar will be presented by Nick Wehner, Project Director of MarXiv and Director of Open Initiatives at OCTO. Ocean managers, policymakers, and NGOs routinely face barriers to scientific knowledge: they simply can’t afford costly subscriptions to traditional peer-reviewed academic journals. Studies have found that these financial barriers result in less primary science being used in on-the-ground environmental management plans.”
“For the past five years, the team behind the global ocean health report card, Ocean Health Index (OHI), have been trying to figure out how to reproduce their science faster. Assessing the scores on everything from biodiversity to tourism for 220 coastal nations and territories is a massive undertaking — and it involves synthesizing data from nearly 100 sources.
OHI scientists — including several from Conservation International, the index’s co-developer — knew there was a way to do ‘better science in less time.’ A new paper in the journal Nature details how they were able to do just that: By borrowing philosophies, tools and workflows primarily created for software development, OHI scientists fundamentally changed their approach to science. Human Nature sat down with the study’s lead author, Ocean Health Index project scientist Julia Stewart Lowndes, to discuss the key to this new approach: open science.”
Abstract: There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,621,847 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://portal.aodn.org.au/) allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels.
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