Research Data Management Implementations Workshop

The deluge of data generated from experiments, observations and simulations creates many challenges for researchers. Adequate data management implementations are becoming critical due to the need to not only collect and analyze large volumes of raw data, but also to store and curate that data in ways that facilitate its retrieval and analysis in future studies. As data collections grow in size and complexity, so too does the computing infrastructure needed to support them. Technologies used to create and study data collections are also evolving rapidly. Even when provided with best practices, researchers typically lack the expertise and the hardware and software infrastructure required to implement these solutions. Further complicating the data management process is the fact that these processes often depend on domain specific workflows. Establishing and efficiently executing these data management processes can demand substantial time and resources that most researchers do not have or cannot easily acquire. Researchers need turn-key (but customizable) solutions and community accepted practices to solve their data management problems.

This workshop builds on the results of the NSF funded data lifecycle management workshop held at Princeton University in 2011, shifting focus to implementations solutions.

This workshop will bring together research computing communities and leading experts in data management to discuss actual implementation architectures as they relate to discipline-specific workflows and deployments. We will invite submission of position and experience papers that describe implementations of discipline-based data management infrastructure and services, and the ways in which those solutions leverage resources within and outside their institutions. The workshop will also engage participants in a discussion of how a coordinated effort among research computing centers may accelerate the implementation of effective research data management workflows, and contribute to national efforts and initiatives.