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Template Instructions:

Examples previous events includes DataRescueNYC, DataRescueMIT, DataRescueSFBay.

Welcome to DataRescue Oregon State University, March 17 & 18, 2017! Please:

  1. Review the Code of Conduct

  2. Join the Slack
    http://archivers-slack.herokuapp.com, and #[channel-name]

  3. Familiarize yourself with the four tracks, and think about which you would join:

  1. Web archiving, 2) Data archiving, 3) Storytelling, 4) Next Steps

Choose a track

1) Web archiving: Contribute to the Internet Archive’s End of Term archive
"Seeding"

2) Data archiving: contribute to DataRefuge.org, a CKAN instance
"Harvesting" and "Researching"

  • EITHER have deep domain knowledge of scientific datasets, OR be a librarian, OR be a skilled technologist in a programming language of your choice (eg python, javascript, c, java, etc), knowledge of the command line (bash, shell, powershell), experience working with structured data (eg json formatting). Experience in front-end web development a plus.
  • Goals: archive data from [add specific event goals]
  • To join this track:
    • Join the #archiving-data slack channel, write your github username & tag [@coordinator name] to be added to this GitHub org
    • When added, make your membership public

3) Storytelling

  • You should have a penchant for developing compelling narratives and/or social media strategies
  • Goals: Tell/write stories on the importance of climate and environmental data on our everyday lives. Share this work on social media.
  • To join this track:
    • Join the #storytelling slack channel

4) Next Steps
"Long Tail"

  • For EDGI newbies and veterans alike
  • Goals: Discuss the next 3 to 6 months of tech development plans as we move beyond collection; discuss security, resiliency, redundancy. See next steps doc for more details
  • To join this track:
    • Join the #next-steps slack channel, write your github username & tag [@coordinator name] to be added to this GitHub org
    • When added, make your membership public

Learn more about the Web and Data Archiving process

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