Metadata Portal Project: Using DDI to Enhance Data Access and Dissemination

Presentation at the North American Data Documentation Conference (NADDI) 2013The Inter-university Consortium for Political and Social Research (ICPSR), NORC at the University of Chicago, and the American National Election Studies program in the Center for Political Studies at the University of Michigan’s Institute for Social Research are currently engaged in a new collaborative effort to create a common metadata portal for two of the most important data collections in the U.S. – the American National Election Studies (ANES) and the General Social Survey (GSS). Technical support is provided by Metadata Technology and Integrated Data Management Services. This pilot project, funded by the National Science Foundation, will produce a combined library of machine-actionable DDI metadata for these collections, and demonstrate DDI-based tools for advanced searching, dynamic metadata presentation, and other functions intended to facilitate discovery and analysis of these data. The project will also lay a foundation for developing new metadata-driven workflows for both ANES and GSS. This presentation describes the major phases and deliverables of the project and presents a plan of action, with an emphasis on how the project will benefit the wider community.Institute for Policy & Social Research, University of Kansas; University of Kansas Libraries; Alfred P. Sloan Foundation; Data Documentation Initiative Allianc

DDI - A Metadata Standard for the Community

Presentation at the North American Data Documentation Conference (NADDI) 2013This presentation gives an overview of the primary benefits of DDI like rich content, metadata reuse across the life cycle, and machine-actionability in a global network. Examples of successful adoption are described, along with barriers and challenges to using DDI. The presentation concludes with a summary of future directions for the standard.Institute for Policy & Social Research, University of Kansas; University of Kansas Libraries; Alfred P. Sloan Foundation; Data Documentation Initiative Allianc

Data Documentation Initiative: Toward a Standard for the Social Sciences

The Data Documentation Initiative (DDI) is an emerging metadata standard for the social sciences. The DDI is in active use by many data specialists and archivists, but researchers themselves have been slow to recognize the benefits of the standards approach to metadata. This paper outlines how the DDI has evolved since its inception in 1995 and discusses ways to broaden its impact in the social science research community

Organizational assessment frameworks for digital preservation: A literature review and mapping

As the field of digital preservation matures, there is an increasing need to systematically assess an organization's abilities to achieve its digital preservation goals, and a wide variety of assessment tools have been created for this purpose. To map the landscape of research in this area, evaluate the current maturity of knowledge on this central question in DP and provide direction for future research, this paper reviews assessment frameworks in digital preservation through a systematic literature search and categorizes the literature by type of research. The analysis shows that publication output around assessment in digital preservation has increased markedly over time, but most existing work focuses on developing new models rather than rigorous evaluation and validation of existing frameworks. Significant gaps are present in the application of robust conceptual foundations and design methods, and in the level of empirical evidence available to enable the evaluation and validation of assessment models. The analysis and comparison with other fields suggest that the design of assessment models in DP should be studied rigorously in both theory and practice, and that the development of future models will benefit from applying existing methods, processes, and principles for model design

Social scientists’ satisfaction with data reuse

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137333/1/asi23480.pd