CRESCYNT Toolbox – Developing and Sharing Protocols

Reproducibility is a challenge. Features of Protocols.io (http://protocols.io) make it an attractive way to capture, develop, refine, share, and – when you’re ready – publish protocols and procedures. It’s optimized for both computer and mobile access, and also allows one to start with an existing protocol, fork it, make modifications, reference the original so that credit is preserved for both old and new versions, and when published at protocols.io becomes a way to reference the procedure as a citation.

protocols_ioA short video at http://protocols.io offers more detail. Consider it when you need to document a stepwise process or capture a workflow, then share your effort in a reproducible way, and get credit for your digital research products.

CRESCYNT Toolbox – Developing and Sharing Protocols

CRESCYNT Toolbox – Unifying a Search Through Species Databases

If the only tool you have is a hammer, everything looks like a nail.

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CRESCYNT wrenches

Our new Toolbox series for the coral reef community will highlight one tool each week relevant to data management, analysis, visualization, storage, retrieval, reuse, or collaboration. We’ll try to focus on the most comprehensive, useful, and relevant tools for coral reef work.

We hope you’ll take time to try each one out, and then tell us what you think.

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This week:  Biodiversity information aggregated at GBIF (http://gbif.org ).

The Global Biodiversity Information Facility (GBIF) pulls together species and taxonomic entries from over 800 authoritative data publishers and constantly updates them. GBIF intake includes favorite coral reef species databases (WoRMS, iDigBio, ITIS, Paleobiology,…). Bonus: GBIF makes it easier to search NCBI to find ‘omics data on corals, symbionts, and holobionts.

Search by taxon, common name, dataset, or country; apply filters, and link directly to providers’ websites. Explore species now at http://gbif.org/species .

Yours for a more robust toolbox.

gbif

CRESCYNT Toolbox – Unifying a Search Through Species Databases