Data Curation Pilot Project, 2013

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https://hdl.handle.net/11299/160292

The Data Curation Project set out to test and expand the University Libraries programmatic efforts to support research data management needs on campus by establishing a fixed-term data curation pilot. This pilot utilized our current suite of services and expertise in the Libraries with the objective of developing archiving “workflows” for a variety of types of research data. Specifically, in eight months, this project resulted in 1) a data curation workflow, 2) 3-5 pilot research datasets archived in the University Digital Conservancy, and 3) and a summary report describing the successes and shortcomings of this project.

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Browsing Data Curation Pilot Project, 2013 by Author "Mcneill, Kristopher"

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    Triclosan, Chlorinated Triclosan Derivative, and Dioxin Levels in Minnesota Lakes
    (2013-12-02) Anger, Cale T; Sueper, Charles; Blumentritt, Dylan J; Mcneill, Kristopher; Engstrom, Daniel R; Arnold, William A; arnol032@umn.edu; Arnold, William A
    The data were collected and generated during the period of 2010-2012 by collecting sediment cores from lakes in Minnesota, dating the years the sediment was deposited as a function of depth, and extracting sections of the cores with solvent to determine the levels of triclosan (TCS), chlorinated triclosan derivatives (CTD), and dioxins in the sediment (PCDD). Dating was performed at the St. Croix Watershed Research Station, triclosan and chlorinated triclosan derivative measurements at the University of Minnesota Department of Civil Engineering, and dioxin analysis by Pace Analytical. The data consists of eight Excel files that include the following tabs 1) accumulation rate and focus corrected accumulation rate of the target contaminants as function of time (FF_Flux), 2) the concentrations of the target contaminants and function of time, 3) the calibration curves of the instruments for triclosan and chlorinated triclosan derivatives, and 4) various statistical analyses (ANOVA). Note that the further back in time, the deeper the sediment that the sample was derived from.