Brown University; Qualitative Data Management Plan (DMP) Competition
This is a Data Management Plan reviewing archival data from the National Public Broadcasting Archives, National Public Radio organizational records, and semi-structured interviews with non-white broadcasters and public radio employees in the USA and Australia to analyze diversity efforts in Public Radio Organizations.
Texas A&M University; Working Group on NIH DMSP Guidance
This DMP outlines a plan for experimental testing, characterization, and simulation data for experiments with nickel-titanium shape memory alloys using a laser powder bed fusion additive manufacturing process. This includes thermal and precipitates evolution physics based modelling.
Rice University; Working Group on NIH DMSP Guidance
This is a set of sample DMPs produced by the Rice Research Data Management Team containing a preamble explaining recommended content and two Sample DMPs for Biosciences and Social and Behavioral Sciences.
Princeton University; Working Group on NIH DMSP Guidance
This DMP aims to collect data from support groups for those abused by clergy and semi-structured interviews to better understand the experiences of survivors of sexual assault.
UC San Diego; Working Group on NIH DMSP Guidance
This is a sample data management plan from UC San Diego which details a proposal to conduct research on nanoelectronics.
Inter-university Consortium for Political and Social Research (ICPSR)
This is a sample data management plan created by the ICPRSR, intended to be edited and customized by the user. It is a general data management template with basic information filled in to give researchers an idea of where to start.
Massachusetts Institute of Technology; Working Group on NIH DMSP Guidance
This DMP aims to collect data from experiments "using a unique imaging system to probe how a polymeric jet injected into a surrounding Newtonian fluid becomes unstable."
University of Pennsylvania; Georgetown University; Qualitative Data Management Plan (DMP) Competition
This DMP will collect data from semi-structured interviews to understand the factors that influence one's perception of their deservingness to claim benefits.