data background

Research Data Management

document your dataDocument Your Data

Data sets should be accompanied by information that explains the data.
Understanding the data is an essential part of of being able to use it. Where it came from, how it was recorded, what metrics or processes were used -- these are just a few of aspects of being able to work with data, and they can all be answered with documentation.

Documentation helps organize data and facilitates data sharing, discovery, and curation
and is essential for re-use and preservation. Whether it is to keep track from the beginning of the project to the end, to help your future self make sense of the data, or to enable sharing with others, taking even a small amount of time to document as you go can save hours in the long run and may even save your data from being unusable.

Documentation can be created formally or informally.
Formats such as discipline-specific templates or metadata schemas, or simple tools like text editors or lab notebooks can each be used to document data sets. There are a number of tools and methods for efficiently creating consistent documentation -- some may be standards for your discipline, and others may be applied as needed for your individual situation.

Some examples of informal metadata that can be created during the research project:

Formal metadata
The choice to use a formal metadata scheme is often dictated by the discipline from which the data originates. Committing to a formal scheme requires knowledge of the scheme and the tools that support its creation and use.

Some common descriptive metadata standards with wide adoption

 

Some useful tools for creating metadata for your research data include:

  • Colectica for Excel
    A free Excel plug-in used to document spreadsheet data using the DDI specification
  • Extended Attributes for SAS 9.4 and higher
    A SAS Enterprise Guide add-in to describe variable attributes using the DDI specification
  • Morpho
    A KNB (Knowledge Network for Biocomplexity) application that allows scientists to describe their data sets in the EML specification and share their descriptions and data via KNB Metacat
  • Other DDI tools
    A list of metadata tools maintained by the DDI Alliance

GIS and Data Contacts

Geographic Information Systems
Rhonda Houser, Senior GIS Analyst
rhouser@ku.edu
785-864-1238
Watson Library

Research data
Jamene Brooks-Kieffer, Data Services Librarian
jamenebk@ku.edu
785-864-5238
Watson Library

Digital humanities
Institute for Digital Research in the Humanities
idrh@ku.edu
Watson Library

KU Today