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We describe a new vision for a Data Management Plan (DMP) that incorporates controlled vocabularies and semantic descriptions of the scholarly objects to be produced by the proposed project. We implement this vision in an open‐source web‐based DMP tool, called ezDMP, at ezdmp.org. The integrated use of structured information in ezDMP permits several important goals. First, with minimal additional effort, researchers can create DMPs with more complete information about the scholarly objects to be produced. Second, research funders can productively query this structured information to learn about repository use and other patterns of scholarly objects creation. Finally, ezDMP puts a structure in place that can support the integration of information about digital scholars objects, in an organized and systematic way, into research data management environments. [ABSTRACT FROM AUTHOR]

The era of "big data" is revolutionizing private, public, nonprofit, and academic work. While there has been an explosion of research into and training materials about how to do data science, there is substantially less critical investigation into topics such as who has access to these tools, what motivations animate these uses, and the effects of such work. This essay calls for more critical work that tackles such questions; such work can be broadly described as "data studies." To clarify and organize these questions, the paper imports and adapts Harold Lasswell's model of communication--who, says what, to whom, in what medium, with what effect--to create a model for data studies research. The study illustrates this model with an interdisciplinary survey of some of the relevant work to date, proposing a means of organizing this work and of prompting future research questions. [ABSTRACT FROM AUTHOR]

The explosion of scientific data in recent years has resulted in the need to compile, store and globally share this research information with the multi-disciplinary communities of science. This has resulted in research data management communities that are responsible for curating data within institutional repositories. This panel is sponsored by the SIG Scientific and Technical Information to initiate a discussion addressing data curation issues as they pertain to collaborative research data management communities within the current institutional research environment from the perspective of key stakeholders. The panel objective encompasses an examination of contemporary curation practices and data management policy issues that impact the initiation and implementation of research data management plans for scientific researchers. In addition it will explore the role that institutional repositories play in the extraction, preservation, and storage of research data while providing access to data sharing in the global scientific research communities. The panel will be comprised of key institutional stakeholders, which include university administrators, information professionals, and research scientists. [ABSTRACT FROM AUTHOR]