The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Pin Pin Yeo - One of the best experts on this subject based on the ideXlab platform.
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Research Guides: Research Data Management: Data Management Policies
2012Co-Authors: Pin Pin YeoAbstract:Guide on research Data management, with resources and tools for Data planning, Data organization, Data Documentation, Data sharing, Data security, Data analysis and visualization Data Management Policies
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Research Guides: Research Data Management: About Research Data Management
2012Co-Authors: Pin Pin YeoAbstract:Guide on research Data management, with resources and tools for Data planning, Data organization, Data Documentation, Data sharing, Data security, Data analysis and visualization About Research Data Management
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Research Guides: Research Data Management: Data Management Plan
2012Co-Authors: Pin Pin YeoAbstract:Guide on research Data management, with resources and tools for Data planning, Data organization, Data Documentation, Data sharing, Data security, Data analysis and visualization
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Research Guides: Research Data Management: Research Data Management
2012Co-Authors: Pin Pin YeoAbstract:Guide on research Data management, with resources and tools for Data planning, Data organization, Data Documentation, Data sharing, Data security, Data analysis and visualization Overview
Lars Vilhuber - One of the best experts on this subject based on the ideXlab platform.
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ced 2 ar the comprehensive extensible Data Documentation and access repository
ACM IEEE Joint Conference on Digital Libraries, 2014Co-Authors: Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. BlockAbstract:We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a metaData repository system that allows researchers to search, browse, access, and cite confidential Data and metaData through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated metaData. CED2AR is distinguished from other metaData repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential Data and metaData and manage complex provenance chains.
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JCDL - CED 2 AR: the comprehensive extensible Data Documentation and access repository
IEEE ACM Joint Conference on Digital Libraries, 2014Co-Authors: Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. BlockAbstract:We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a metaData repository system that allows researchers to search, browse, access, and cite confidential Data and metaData through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated metaData. CED2AR is distinguished from other metaData repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential Data and metaData and manage complex provenance chains.
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lehd Data Documentation lehd overview s2011 lehd infrastructure files in the census rdc overview
2014Co-Authors: Lars Vilhuber, Kevin L MckinneyAbstract:The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains a set of infrastructure files using administrative Data provided by state agencies, enhanced with information from other administrative Data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.
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LEHD Data Documentation Lehd-Overview-S2011: LEHD Infrastructure Files in the Census RDC – Overview
SSRN Electronic Journal, 2014Co-Authors: Lars Vilhuber, Kevin L MckinneyAbstract:The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains a set of infrastructure files using administrative Data provided by state agencies, enhanced with information from other administrative Data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.
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CED2AR: The Comprehensive Extensible Data Documentation and Access Repository
IEEE ACM Joint Conference on Digital Libraries, 2014Co-Authors: Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. BlockAbstract:We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a metaData repository system that allows researchers to search, browse, access, and cite confidential Data and metaData through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated metaData. CED2AR is distinguished from other metaData repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential Data and metaData and manage complex provenance chains.
William C. Block - One of the best experts on this subject based on the ideXlab platform.
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Implementing the Data Documentation Initiative at the Minnesota Population Center
Historical methods: A journal of quantitative and interdisciplinary history, 2020Co-Authors: William C. Block, Wendy ThomasAbstract:Abstract The Data Documentation Initiative (DDI) is an emerging international specification for Documentation of social science Data. Designed as an archival standard to help preserve access to Data and codebooks, the DDI is nonproprietary and hardware independent. By treating Documentation as metaData—or Data about Data—the DDI will open the door to the development of generalpurpose automated software tools for accessing both Data and Documentation. The authors provide a background and history of the DDI and discuss the advantages of machine-processable Documentation. They also describe several specific applications of DDI-compliant metaData currently under way at the Minnesota Population Center (MPC).
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ced 2 ar the comprehensive extensible Data Documentation and access repository
ACM IEEE Joint Conference on Digital Libraries, 2014Co-Authors: Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. BlockAbstract:We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a metaData repository system that allows researchers to search, browse, access, and cite confidential Data and metaData through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated metaData. CED2AR is distinguished from other metaData repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential Data and metaData and manage complex provenance chains.
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JCDL - CED 2 AR: the comprehensive extensible Data Documentation and access repository
IEEE ACM Joint Conference on Digital Libraries, 2014Co-Authors: Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. BlockAbstract:We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a metaData repository system that allows researchers to search, browse, access, and cite confidential Data and metaData through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated metaData. CED2AR is distinguished from other metaData repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential Data and metaData and manage complex provenance chains.
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CED2AR: The Comprehensive Extensible Data Documentation and Access Repository
IEEE ACM Joint Conference on Digital Libraries, 2014Co-Authors: Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. BlockAbstract:We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a metaData repository system that allows researchers to search, browse, access, and cite confidential Data and metaData through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated metaData. CED2AR is distinguished from other metaData repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential Data and metaData and manage complex provenance chains.
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An Early Prototype of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR)
2012Co-Authors: William C. Block, Jeremy Williams, Lars Vilhuber, John M. Abowd, Carl LagozeAbstract:Presentation at the 4th Annual European DDI User Conference (EDDI12), Norwegian Social Science Data Services, Bergen, Norway, 3 December, 2012
Wendy Thomas - One of the best experts on this subject based on the ideXlab platform.
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Implementing the Data Documentation Initiative at the Minnesota Population Center
Historical methods: A journal of quantitative and interdisciplinary history, 2020Co-Authors: William C. Block, Wendy ThomasAbstract:Abstract The Data Documentation Initiative (DDI) is an emerging international specification for Documentation of social science Data. Designed as an archival standard to help preserve access to Data and codebooks, the DDI is nonproprietary and hardware independent. By treating Documentation as metaData—or Data about Data—the DDI will open the door to the development of generalpurpose automated software tools for accessing both Data and Documentation. The authors provide a background and history of the DDI and discuss the advantages of machine-processable Documentation. They also describe several specific applications of DDI-compliant metaData currently under way at the Minnesota Population Center (MPC).
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Data Documentation initiative toward a standard for the social sciences
International Journal of Digital Curation, 2008Co-Authors: Mary Vardigan, Pascal Heus, Wendy ThomasAbstract: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.
Andreas Oskar Kempf - One of the best experts on this subject based on the ideXlab platform.
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Making research Data findable in digital libraries: A layered model for user-oriented indexing of survey Data
IEEE ACM Joint Conference on Digital Libraries, 2014Co-Authors: Tanja Friedrich, Andreas Oskar KempfAbstract:The growing amount of Data in research and the aspired culture of Data sharing make it necessary to improve Data Documentation in digital libraries. On these grounds we present a conceptual model for subject indexing of research Data. Taking the example of social science survey Data we inquire the applicability of established indexing principles. Based on these principles our research incorporates the special characteristics of social science survey Data, leading us to a model of layered subject indexing.
