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Data Management, Publication/Authorship, and Peer Review
Citation:
Knudsen, T. Data Management, Publication/Authorship, and Peer Review. Presented at Teratology Society's 59th Annual Meeting, San Diego, CA, June 22 - 26, 2019. https://doi.org/10.23645/epacomptox.8860466
Impact/Purpose:
Invited presentation given at the Professional Development Workshop: 'Irresponsible Conduct of Research: What Happens When Things Go Wrong' at the Teratology Society's 59th Annual Meeting June 2019
Description:
This presentation begins with an analysis on how researchers in teratology can sustain a scientifically robust outcome in the big data era, utilizing innovations in machine learning and virtual reality technologies for biomedical research applications. Genomics data will soon exceed Astronomy, YouTube and Twitter combined; these datsets need to be compared in huge numbers for precision medicine to be effective. As corporate data stores will grow to an inconceivable dimension, a clear data strategy is necessary to make sure data resources can be used, shared and moved efficiently. The challenges for scientific publishing will be detailed, ranging from when things go wrong, from publication fraud and human error, to highlighting best practices for authors, editors, and publishers. The views expressed are in this presentation are those of the presenter and do not reflect the views or policies of the US EPA.
URLs/Downloads:
DOI: Data Management, Publication/Authorship, and Peer Review
TS_WORKSHOP_KNUDSEN_V1_M.PDF (PDF, NA pp, 1187.534 KB, about PDF)