Skip to content

Instantly share code, notes, and snippets.

@moorepants

moorepants/dcc-fair-support-dmp.rst

Last active January 8, 2021 13:00
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save moorepants/70dda802e7e438ad1a237c8cdfe0d492 to your computer and use it in GitHub Desktop.
Save moorepants/70dda802e7e438ad1a237c8cdfe0d492 to your computer and use it in GitHub Desktop.
Download ZIP
DCC FAIR Support Request Data Management Plan
Raw
dcc-fair-support-dmp.rst

Data Management Plan

This assignment will utilize two types of data:

  1. Existing static and motion data collected from bicycle and bicyclists during prior research. For example, time series from rate gyros or motion capture systems, geometry of vehicles, and anthropomorphic data of the riders.
  2. Bicycle and rider motion data generated from simulations.

The following lists the primary data sources for #1:

Instrumented bicycle data collected under UC Davis IRB approval and an NSF data management plan in 2009-2012.

Treadmill bicycling motion capture data collected at TU Delft in 2009. Human subject review and data management plans were not required.

Bicycle and rider physical parameter data collected under UC Davis IRB approval and an NSF Data Management Plan and under no review or plans at TU Delft between 2009 and 2012.

For data of type #2, this will be generated by users on the fly with the web application and can be saved for their personal use in plain text formats. There are no privacy, security, or longevity issues associated with this simulation data and user created data will not be stored in the application.

All data will be made available in plain text for long term storage needs. Some prior data is stored in the HDF5 format. Documentation and metadata are described and included with the data sets. A number of open source software packages have also been developed and released that process the data. This software is versioned with standard practices. All existing data was collected using the appropriate protocols and rules at that time and any human subject research requirements were followed. All of the data is shared as public domain, as data cannot be copyrighted or licensed under most jurisdictions. All of the data is stored in multiple copies on both cloud services and on-site hard drives. Sufficient physically separated copies exist to minimize the likelihood of data loss. There is no security because the data is public domain and the data has been anonymized when needed. The existing data is shared via Figshare and advertised on our website. Our data management practices will be collectively reviewed and managed by current lab members as part of our normal research practice.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment