Abstract
Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience
Highlights
The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge
Interdisciplinary Big Science, for the purposes of this paper, is understood as well-funded science undertaken by inter-disciplinary teams of researchers with the intent to better understand wicked problems that are not located within a single disciplinary realm and cannot be solved neatly from one perspective, if at all (Rittel and Webber 1973)
As these interdisciplinary problem driven programs gain traction, researchers continue to publish results and curate data within disciplinary silos, but struggle to find tools, mechanisms, and incentives to publish research results that address the wicked problem identified at the outset of the project. This challenge for researchers translates to an opportunity for data curators and librarians. With this opportunity identified as such, this paper reports on an embedded data curation experience within interdisciplinary big science
Summary
The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. The DSR is a publicly available web-based application built on the MEAN server stack (MongoDB, express, angularJS, and Node.js), written in Java, Javascript, HTML and CSS, and makes use of Apache Solr to provide flexible and rapid search capabilities It is comprised of three basic components: a metadata store, a repository and data exploration tool. Often responses were not forthcoming and the email requests were repeated until a response was received This approach resulted in an iterative process between the CCS curation team, the NOAA/NCCOS program manager, the NCEI, and the researchers themselves to select and refine metadata elements (see Figure 2). The scenarios have a citation tool and can reference published articles and users can navigate back to supporting data sets and their metadata in the repository (see figures 5 and 6) As originally planned, this component of the DSR was to be administered by the researchers themselves. While the technical aspects of the story map functioned more or less as expected, the researcher input for the creation of the integrated stories only occurred for the bio-economic scenario
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