Data Without Borders ICE 2016: Difference between revisions

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| Specimen Data in Integrated Biodiversity Research

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| Cross-pollination in the 21st Century: Integrating entomologists and botanists to explore the island biogeography and conservation of Caribbean orchids

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| Acquisition, management, and analysis of historical and contemporary data to discern legacy effects of ecological extinction on insect biodiversity

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| Digitizing natural history collection specimens to investigate the future of species conservation

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| Harnessing specimen data to visualize and investigate the ecology of species

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| The usefulness of DNA-barcoding databases for routine taxonomic research and identification of Lepidoptera

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| From field to genome, and beyond

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| The intersection of data domains underlying insect systematics: case studies in parasitic Hymenoptera

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| Preventing Bugs in Data Analysis: Data Skills to Improve the Reliability and Effectiveness of Entomological Research

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| Developing Best Practices for Data Management Across all Stages of the Data Life Cycle <br/>

::Best practices for empirical data collection (experimental design, laboratory techniques) are often well-covered in undergraduate and graduate training, yet there has been less emphasis on managing the resulting data effectively. This is an increasingly important skill set; many funding agencies require data management plans, and journals are requiring that data pertaining to published articles be accessible. Researchers with good data management skills will be able to maximize the productivity of their research program, effectively and efficiently share their data with the scientific community, and potentially benefit from the re-use of their data by others. In this talk, I will highlight some of the pitfalls to be avoided when working with data and introduce example best practices and tools that will improve your data management skills and research program.

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| Data capture methodologies in digitisation of bee pollinators  

::Digitisation is an activity that museums and academic institutions increasingly recognize, though many still do not embrace, as a means to boost the impact of collections for global research and society through improved access. And as such, many researchers still fail to realise the importance of data capture methodologies used in digitisation. New opportunities exist to design and implement processes through use of the available technology that will support data capture to enable a range of research on biodiversity of pollinators in order to make scientific collections increasingly relevant. While the usefulness of specimen digitisation is true for all taxa, immense additional benefits come from the digitisation of bees. This group of organisms is of prime importance as they provide most of the world’s pollination ecosystem services. Through international collaborative efforts, the wealth of data in natural history museums and collections about the diversity, distribution and biology of bees may be utilised for international biodiversity efforts.

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| Arthropod collection digitization and networking across the New World

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| Database before you label – the key to a digitized collections future

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| Troubleshooting industrial insect digitisation

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| Bulk samples, is crowd sourced tagging useful in making them more accessible?

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| Moving Mountains: Motivating Digitizers

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| Involving undergraduates in the digital community: A model for utilizing undergraduates to maintain digital collections

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