Skip to main content

Data Management Plans and Research Support

What is Data Curation?

Data curation incorporates the entire process of planning for the collection of data, collecting the data, organizing and managing the data, analyzing the data, and visualizing the data.

What programs and tools are used for data curation?

  • The program(s) or tool(s) you use for data curation may depend on both the type(s) of data you are collecting and any discipline-specific conventions.  The Empirical Reasoning Center (ERC) provides trainings and individual guidance for many of the commonly used programs and tools for data management and analysis, including spreadsheet applications such as Excel, statistical analysis software or programming languages such as Stata, R, SPSS, SAS, MATLAB, and Mathematica, and GIS software such as ArcGIS and QGIS. Please contact Alisa Rod to request a training, workshop, or ERC support for additional or new software or programs for the management or analysis of data.
  • UCLA's Institute for Digital Research and Education has a useful guide that "covers a number of common analyses and helps you choose among them based on the number of dependent variables (sometimes referred to as outcome variables), the nature of your independent variables (sometimes referred to as predictors)." The table also includes links to guides on how to perform each analysis in SAS, SPPS, Stata, and R.

I need to create a Data Management Plan (DMP) for my funding proposal/grant application. Can you help with that?

  • Please contact Barnard's Sponsored Research team directly for support, and see below for additional information and links to useful resources.
  • Columbia University provides many resources that are available to Barnard faculty members on the topic of data management. 
    • Research Data Services is jointly supported by the Libraries and CUIT, providing support and consulting for research data needs at Columbia University. Their staff members are available for consultations and provide drop-in hours and occasional workshop on many aspects of the research data lifecycle, including research data management, finding data, recommendation for cleaning and understanding data, mapping and visualizing your data.
    • Columbia Research offers resources, and templates for creating DMPs, including templates organized by specific funding agencies and organizations. The templates were developed by Columbia University Libraries' Scholarly Communication program.
  • The University of California DMPTool is an online resource that enables researchers to create tailored data management plans.
  • The Inter-university Consortium for Political and Social Research (ICPSR) hosts guides and templates for DMPs, which may be particularly useful for social science researchers.