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Research Spotlight: July 2017

Data Curation Profiles—An Information Science framework for data managers

-- Contributed by Wade Bishop and Kelly White, The University of Tennessee, School of Information Sciences

Data curation profiles (DCPs). DCPs give scientists, researchers, and data managers an enhanced and detailed understanding of the “data story” from the perspective of the data. A DCP “captures requirements for specific data generated by researchers articulated by the researchers themselves” (http://datacurationprofiles.org/purpose) and provides data managers a framework to acquire an in-depth understanding of the particular data curation needs of producers and their intended users. Read more about Wade & Kelly's work with the iDigBio community here.

Research Spotlight: May 2017

Using specimens to create a pollinator community assessment of restored tallgrass prairie

-- Contributed by Heather Cray, Department of Environment and Resource Studies, University of Waterloo

Animal species need space – a place to forage, grow, and nest. This is especially true of Lepidoptera (butterflies and moths), whose caterpillars generally feed exclusively on one genus or species of host plant (think monarch butterflies and milkweed). For the 4,000 or so species of native bees in North America, required forage plants and nesting sites vary from common suburban offerings (e.g., patches of bare ground, maples, willows, clover), to specialized needs which are ecosystem-specific.  Enter tallgrass prairie – a grassland ecosystem with high forb diversity that supports a dizzying array of invertebrate life. As our continent’s most endangered ecosystem, the 1-3% that remains is a mix of remnant and restored habitat, and restoration efforts-- both large and small, are ongoing. Read more here.

National Science Teachers Association Conference 2017

iDigBio staff members Bruce MacFadden, Libby Ellwood, and Molly Phillips attended the 2017 National Science Teachers Association National Meeting held on March 30-April 2 in the L.A. Convention Center in downtown Los Angeles. The conference was massive – attended by thousands of K-college science teachers from around the country and world.

Research Spotlight: April 2017

Publishing a new species?  Add the unique identifiers!

Citation of voucher specimen data can be problematic.  There are currently no formulated rules for how to cite a digital specimen in a publication, but data aggregators such iDigBio, GBIF, and VertNet offer suggestions. Pensoft is leading the way by providing efficient methods for publishing digital data (see their blog post here) - but it still rarely happens, or occurs in a non-systematic way.  Recently, with my colleague Dr George Argent, a new species of Rhododendron from Mount Yule, Papua New Guinea was published in the February 2017 online volume of the Edinburgh Journal of Botany. The digital data for the isotype housed at the Bishop Museum is available through iDigBio and we wanted to cite this information in the published paper.  As a test case, we added the Darwin Core occurrenceID and a link to the iDigBio record page. Read more here.

AIBS Communications Boot Camp

The scientific view from behind the microphone

Imagine it.  The sweaty palms, the nervous fidgeting. You're sitting in the waiting room of the radio station, the governors' office, or waiting to speak with the Chair of your Department.  You begin question your preparation - What is the key message and main talking points? Is there an engaging and relevant story to highlight the science? Does it fit with the audience you will be engaging with? You begin cursing that you didn't have more practice!

Research Spotlight: March 2017

Collecting trends: how wars and human history influence biological collections

-- Contributed by Vaughn Shirey, The Academy of Natural Sciences of Drexel University

A large portion of my research in The Gelhaus Lab at The Academy of Natural Sciences of Drexel University relies heavily on digitized specimen data and metadata, specifically the who, when, and where of specimen collection. “Big data” research has risen in popularity since high-performance computing has made it easier for researchers to conduct analyses of groups of organisms overnight; however, additional considerations to the use of large datasets should be taken into account. My research focuses on the historical biases present in natural history collection data, including identifying collection bias and gaps in data due to human history. Read more here.

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