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 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?

Maybe you only finished reading the title and abstract, but want to share your find before it disappears into your browser history.

Please share your own papers!

You can use this thread to post your links.

Past list: February 2019

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  1. DOI Risk Project workshop report published.

    Mentioned at the March 2019 Monthly Meeting:

    Wood, N., Pennaz, A., Ludwig, K., Jones, J., Henry, K, Sherba, J., Ng, P., Marineau, J., and Juskie, J., 2019, Assessing hazards and risks at the Department of the Interior—A workshop report: U.S. Geological Survey Circular 1453, 42 p.,

    From David Applegate:

    The DOI Risk Project, affectionately known as SHIRA for Strategic Hazard Identification and Risk Assessment, began in the summer of 2017 when the USGS received funding from DOI's Office of Emergency Management to help them determine the greatest threats to DOI resources, including staff, facilities, lands, visitors, resources, and revenues. It has helped to spur new projects, including the Community for Data Integration's Risk Map effort, and has proven to be a fruitful vehicle for creating new relationships across the Bureau, the Department, and other agencies, and we look forward to seeing the Project's data deliverables this fall. 

  2. California’s Exposure to Volcanic Hazards

    This circular produced a lot of press, and is a good example of USGS science for decision makers.

    Mangan, M., Ball, J., Wood, N., Jones, J.L., Peters, J., Abdollahian, N., Dinitz, L., Blankenheim, S., Fenton, J., and Pridmore, C., 2019, California’s exposure to volcanic hazards: U.S. Geological Survey Scientific Investigations Report 2018–5159, 49 p.,

    "This report, which was prepared in collaboration with the California Governor’s Office of Emergency Services and the California Geological Survey, provides a broad perspective on the state’s exposure to volcanic hazards by integrating volcanic hazard information with geospatial data on at-risk populations, infrastructure, and resources. This information is intended to prompt site- and sector-specific vulnerability analyses and preparation of hazard mitigation and response plans."

  3. Blog post shared by Signell, Richard P. and Sherwood, Christopher R. about how to improve remote meetings:

    On the problem with remote meetings:

    "To solve the problem, we have to address the incentive structure that rewards interrupting, penalizes listening, and provides no feedback from excluded team members…"

    "I recommend that you consider appointing a moderator for each of your meeting discussions... Moderator’s only responsibility: give people the opportunity to listen by safeguarding their opportunities to speak."

    Read the post to see 8 techniques for safeguarding meeting participants opportunities to speak.

  4. Shared by Ladino, Cassandra C. and Unknown User ( to the Data Management Working Group list:

    Data Management Made Simple

    Includes list "Twelve Tips for Writing a Data-Management Plan"  (Although I prefer the USGS Data Management website's page on Data Management Plans, if I may say so.)

    Everyone Needs a Data Management Plan

  5. It seems like there is fairly significant interest in using R in CDI so I thought I would share these workshop materials that are available on Github which cover tidyverse, data visualization, data wrangling, and machine learning in case it might be of interest to other CDI'ers?

  6. Shared by Lesley Wyborn via Erin Robinson:

    Dear all

    I have a project in Australia bringing academic MT data into an online resource. I know that a similar effort is going on in the US, led by Anna Kelbert of the USGS.

    She has documented her efforts in this EOS article, so aptly titled Taking Magnetotelluric Data out of the Drawer

    Kelbert, A., S. Erofeeva, C. Trabant, R. Karstens, and M. Van Fossen (2018), Taking magnetotelluric data out of the drawer, Eos, 99, Published on 27 December 2018.

     Note how she summarises the two key issues:

    1. When you get the data, having a community standard to enable data sharing and interchange is essential: and
    2. The section on how attribution is at the forefront of the challenge of getting researchers to share their data.

    Anyway I just thought I would share it with you as to me it is an absolute gem for our cause.

    Take care