75 research outputs found
Building a Web Based Health Data Search Tool Using DDI
No full textAmber Leahey (Ontario Council of University Libraries, Scholars Portal
Using RDF to Describe and Link Social Science Data to Related Resources on the Web
No full textKramer S, Leahey A, Southall H, Vompras J, Wackerow J. Using RDF to Describe and Link Social Science Data to Related Resources on the Web. German Council for Social and Economic Data (RatSWD) Working Paper Series. German Data Forum (RatSWD); 2012
DDI, FAIR, and the Emergent Role of Active Metadata
No full textThis is a CODATA-DDI Alliance webinar for the Research Data Alliance (RDA) Decade of Data celebrations!
It is widely accepted that the FAIR data principles highlight the importance of metadata. The Data Documentation Initiative (DDI) community has decades of experience in supporting data production and reuse within the social, behavioural, and economic sciences through the publication and use of detailed, machine-actionable metadata specifications. This webinar explores the lessons that have been learned over that time, and how these lessons can be applied more broadly in the context of FAIR data sharing.
The importance of granular metadata to data management practices is clear, but increasingly the ability to leverage metadata in an active capacity – to drive production, management, and dissemination – is growing in importance. With the advent of FAIR, the need for cross-domain exchange of metadata is also growing, and the DDI specifications are evolving to meet that need. More than ever, alignment and coordination among metadata standards and models is needed. This webinar looks at how granular, active metadata can better support research data management both within and across domains, and should be of interest to a broad set of the groups working in the Research Data Alliance (RDA).
Speakers: Simon Hodson (CODATA), Amber Leahey (Scholars Portal, Ontario Council of University Libraries), Christophe Dzikowski (INSEE), Arofan Gregory (CODATA/DDI Alliance), joined by Connie Clare (Research Data Alliance)
Building a Community of Practice: 2022-23 highlights from Borealis, the Canadian Dataverse Community
No full textSince 2019, the national Borealis community of institutional administrators supports researchers locally with data curation, deposit, sharing, and preservation in Borealis, the Canadian Dataverse Repository (https://borealisdata.ca). Through monthly, bilingual community meetings, special presentations, and training events, the community engages in open knowledge sharing, discussions, and practical training, to support and improve services related to areas of shared interest across all institutions using the repository. Highlights over the past year include a new joiners training session, API training, community presentations related to Re3data repository registration efforts, data preservation, discovery of research data, an upcoming survey of administrators, data licensing, and more. The motivation for strong community engagement relates to responding to community needs and is a model for community building that fosters a culture of open dialogue and collaboration.
This presentation was a lightning talk for the 2023 Dataverse Community Meeting, held in person in Braga, Portugal in June 2023
Using METS and DDI to Improve Preservation Workflows for Research Data in Archives/Libraries
No full textThis poster describes using METS and DDI to improve preservation workflows for research data in archives/libraries
Leahey, Whitewashing War - Historical Myth, Corporate Textbooks, And Possibilities For Democratic Education
No full text No one who reads this study will have any difficulty identifying its thesis. The reader discovers it at the outset of the book and the author sustains it constantly to the end. In fact, Leahey presents his conclusion at the very beginning, giving the appearance of both a polemical and one-sided investigation. Whitewashing War asserts that public social studies education in American schools is influenced and controlled by forces such as the government, the military, the industrial establishment, and the media. Through federal action, military involvement, textbook sanitization, and media omissions the effort is to indoctrinate students with patriotism and loyalty, thus insuring a passive, obedient response. While this point of view is not without merit, in its ideological presentation it savors too much of a dictum rather than a matter for discussion
SP Data Services
No full textOverview of the data services Scholars Portal offers - odesi, Geoportal, and Datavers
Collaborative Markup of Library and Research Data: Examples from OCUL
No full textPresentation at the North American Data Documentation Conference (NADDI) 2013This presentation will focus on collaborative efforts to capture, store, and disseminate social science survey data & researcher data across all of Ontario's University Libraries. Together through shared platforms and practices, collaborative markup of data using the Data Documentation Initiative (DDI) standard is possible in order to effectively deliver rich discovery services to users of library and researcher data. An overview of Scholars Portal's data services including the Ontario Data Documentation, Extraction Service and Infrastructure (ODESI), and Dataverse will highlight effective collaborative markup strategies for data.Institute for Policy & Social Research, University of Kansas; University of Kansas Libraries; Alfred P. Sloan Foundation; Data Documentation Initiative Allianc
Use of DDI to support data curation in Dataverse
No full textDataverse is an open source data repository platform developed by the Institute for Quantitative Social Science at Harvard University (with contributors and adopters from all around the world). Dataverse supports researchers with open and mediated data publishing, sharing, research promotion, and the reuse of others’ data. The Dataverse platform makes it easy to deposit and publish research data; however, often deposited research data require additional preparation and curation to be ready for meaningful reuse. Data require accurate and rich documentation and metadata—without them, data are meaningless. Standard metadata, such as DDI, are useful for describing data in Dataverse. This presentation will demonstrate how Dataverse supports the creation of metadata for improved data discovery, access and reuse, and the preservation of research data in Dataverse.</p
Disciplinary Metadata in Libraries: A Case Study Applying the ISO 19115-North American Profile (NAP) for Describing Historical Topographic Maps
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