Abstract

Objective and Setting: While data management planning becomes more commonplace, moving from planning into implementation remains a hurdle for many researchers. With little specific guidance from funding agencies and libraries in the early stages of developing services to assist researchers, insights into what contributes to successful data management are sorely needed. The objective of this study was to document how a multidisciplinary research team, after consultation with the University of Illinois Library, took steps to implement a data management plan. Design and Methods: A case study was designed to gather insights from the research group through semi-structured interviews. Questions focused on which of the recommended data management strategies were adopted and how those strategies affected the project in terms of cost, time, effectiveness, and long-term data use. Results: From these interviews five major themes emerged as important: intentional staffing, addressing essential data management elements, iterative improvement, training and mentorship, and increased efficiency and peace of mind. Conclusions: Despite the initial investment that data management requires, researchers report significant benefits.

Highlights

  • What data management strategies were deployed? How have these evolved over the course of the project?

  • How has data management time compared between reactive management of the [pilot project] data and proactive management of the [main project] data?

  • Does the data appear to be in a state that will make long-term use easier?

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Summary

Introduction

1. What data management strategies were deployed? (e.g., assigning data responsibilities, hiring a project manager, developing data documentation, developing/articulating a workflow diagram, defining controlled vocabulary, setting a data review schedule) How have these evolved over the course of the project?

Results
Conclusion
Full Text
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