Writing a Data Plan                           Managing Data                              Sharing Data                   

                  Data Plan Essentials                                                                       Data Security                                                                                    Data Publication and Citation
                  Funder Requirements                                                                     File Naming and Versioning                                                          Data Licensing and Open Data
                  Examples                                                                                          Metadata                                                                                            Data Repositories

 

DEFINING RESEARCH DATA

 

Research at CU-Boulder encompasses thousands of scientific, critical and creative endeavors at any given time, resulting in new work that advances the economy, culture and health, the nation and the world. Research outputs represent the product, whether raw or more processed, of these scientific, critical, and creative endeavors.

The current focus of the Research Data Advisory Committee (RDAC) is on digital outputs, which include content in structured forms including but not limited to: text files, word processing documents, spreadsheets, websites, calibration information, or simulation outputs; digital information artifacts, such as images, vector-based map products, audio and video products; digital outputs may also include the code used to decode those products, the metadata describing such information artifacts, and required source code that runs computer instructions. The need to digitize, preserve and make analog outputs accessible will need to be the focus of a future task force.

WHY MANAGE RESEARCH DATA?

Managing data helps researchers:

  • Meet funding body requirements
  • Increase the impact of their work
  • Save future time and effort
  • Engage in new forms of research
  • Deal with an ever-increasing amount of digital data

Managing data helps research to be:

  • Replicated and verified
  • Shared and reused
  • Preserved for future use
  • Linked with other research products (e.g., datasets with publications)