Confluence Retirement

Due to the feedback from stakeholders and our commitment to not adversely impact USGS science activities that Confluence supports, we are extending the migration deadline to January 2023.

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is targeted for retirement. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact myusgs@usgs.gov. Thank you for your prompt attention to this matter.
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Are you reading an article or link that you think other CDI members might be interested in?

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Please share your own papers!

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Past list: March 2019

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4 Comments

  1. https://doi.org/10.1175/BAMS-D-18-0006.1

    A Call for the Evaluation of Web-Based Climate Data and Analysis Tools

    Abstract: Researchers are producing an ever greater number of web-based climate data and analysis tools in support of natural resource research and management. Yet the apparent absence or underreporting of evaluation in the development of these applications has raised questions as to whether, by whom, and for what they are utilized, and, relatedly, whether they meet the rationale for their development. This paper joins recent efforts to address these questions by introducing one approach to evaluation—developmental evaluation—and reporting on its use in the evaluation of the Southwest Climate and Environmental Information Collaborative (SCENIC). A web interface under development at the Western Regional Climate Center, SCENIC provides access to climate data and analysis tools to environmental scientists in support of natural resource research and management in the southwestern United States. Evaluation findings highlight subtlety in the improvements necessary for ensuring a useful and usable application that could not have been ascertained in the absence of end-user feedback. We therefore urge researchers to systematically evaluate web-based climate data and analysis tools in the interest of ensuring their usefulness, usability, and fulfillment of the proposed rationale. In so doing, we recommend that researchers test and apply established evaluation frameworks, thereby engaging end users directly in the process of application development.

    VanderMolen, Kristin, Tamara U. Wall, and Britta Daudert. "A Call for the Evaluation of Web-Based Climate Data and Analysis Tools." Bulletin of the American Meteorological Society 100.2 (2019): 257-268.

  2. For all those interested in Natural Language Processing (NLP) and text mining methods check out this free training series by spaCy.  https://course.spacy.io/ .   If your interested in NLP and spaCy USGS has a few licenses for Prodigy ( https://prodi.gy/) which allows for annotations that output into a "spaCy ready" output. 

    If you're interested in Prodigy and/or would like to collaborate on text mining methods let me know.

  3. Ocean data management with concepts that are applicable to any type of data. Introduction of the concept of a "datashed" with data flowing in similar ways to water (and meeting certain barriers or obstacles). Are combinatorial machines the answer to our data management woes?

    https://academic.oup.com/icesjms/advance-article/doi/10.1093/icesjms/fsz068/5480138?searchresult=1


    Check out this figure which I really liked:
    https://academic.oup.com/view-large/figure/134247647/fsz068f1.tif

  4. Books mentioned in David Wald's presentation to the Risk Community of Practice on April 18 about "logical approaches for bringing products to users."