United States Department of Transportation
i
Data Stewardship: The Bridge to Optimize Research Data Management (RDM) across the Data Lifecycle
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2024-01-08
[PDF-548.11 KB]
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Abstract:The practice of scientific research in the digital age has led to a significant increase in the amount of data generated and collected, resulting in a data deluge. In response, good practices for the management of research data -- from collection to long-term preservation and reuse -- have emerged both nationally and globally. Implementation of these practices are vital to meet growing demand and provide the skills necessary to care for research data throughout its entire lifecycle. This changing environment has further been enhanced by the global movement of open science. However, the fact that many of these practices are new or only recent additions to transportation research program workflows, have left many research program managers overwhelmed. However, the emergence of the new role of Data Steward is designed to help research managers and close the gaps within the Research Data Management (RDM) Lifecycle.
Data Stewardship --a built-in approach to data management, curation, preservation, sharing, and reuse --offers many practices to improve research coordination, collaboration, and technology transfer. If data is indeed to be considered an asset each research project needs a specialized expert to serve within the research team to ensure that RDM strategies and practices are effectively implemented into the research lifecycle. By operating within the research team, a Data Steward can be solely focused on the project’s data management, and a constant resource for the researchers. To maximize its effectiveness, RDM needs to be hands-on and consistent throughout the lifecycle, it doesn’t just happen at one stage. Robust Research Data Management starts before a project begins and continues for as long as the data is preserved. Embedding trained Data Stewards into research programs and projects can increase team efficiency and save research resources by lifting the data documentation and preservation burden from researchers, allowing them to focus on data collection and analysis.
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Content Notes:A version of this poster was first presented at the Transportation Research Board 103rd Annual Meeting, on January 8, 2024. The poster, P24-20524, was presented as part of the TRB Research Innovation Implementation Management (RIIM) Committee (AJE35) poster session "Solicited Research Management and Innovation."
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