TY - RPRT T1 - CED 2 AR: The Comprehensive Extensible Data Documentation and Access Repository Y1 - 2014 A1 - Lagoze, Carl A1 - Vilhuber, Lars A1 - Williams, Jeremy A1 - Perry, Benjamin A1 - Block, William C. AB - CED 2 AR: The Comprehensive Extensible Data Documentation and Access Repository Lagoze, Carl; Vilhuber, Lars; Williams, Jeremy; Perry, Benjamin; Block, William C. We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED 2 AR). 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. CED 2 AR 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 Presented at 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL), Sept 8-12, 2014 PB - Cornell University UR - http://hdl.handle.net/1813/44702 ER - TY - RPRT T1 - Improving User Access to Metadata for Public and Restricted Use US Federal Statistical Files Y1 - 2013 A1 - Block, William C. A1 - Williams, Jeremy A1 - Vilhuber, Lars A1 - Lagoze, Carl A1 - Brown, Warren A1 - Abowd, John M. AB - Improving User Access to Metadata for Public and Restricted Use US Federal Statistical Files Block, William C.; Williams, Jeremy; Vilhuber, Lars; Lagoze, Carl; Brown, Warren; Abowd, John M. Presentation at NADDI 2013 This record has also been archived at http://kuscholarworks.ku.edu/dspace/handle/1808/11093 . PB - Cornell University UR - http://hdl.handle.net/1813/33362 ER - TY - RPRT T1 - Data Management of Confidential Data Y1 - 2012 A1 - Lagoze, Carl A1 - Block, William C. A1 - Williams, Jeremy A1 - Abowd, John M. A1 - Vilhuber, Lars AB - Data Management of Confidential Data Lagoze, Carl; Block, William C.; Williams, Jeremy; Abowd, John M.; Vilhuber, Lars Social science researchers increasingly make use of data that is confidential because it contains linkages to the identities of people, corporations, etc. The value of this data lies in the ability to join the identifiable entities with external data such as genome data, geospatial information, and the like. However, the confidentiality of this data is a barrier to its utility and curation, making it difficult to fulfill US federal data management mandates and interfering with basic scholarly practices such as validation and reuse of existing results. We describe the complexity of the relationships among data that span a public and private divide. We then describe our work on the CED2AR prototype, a first step in providing researchers with a tool that spans this divide and makes it possible for them to search, access, and cite that data. PB - Cornell University UR - http://hdl.handle.net/1813/30924 ER - TY - RPRT T1 - An Early Prototype of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR) Y1 - 2012 A1 - Block, William C. A1 - Williams, Jeremy A1 - Abowd, John M. A1 - Vilhuber, Lars A1 - Lagoze, Carl AB - An Early Prototype of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR) Block, William C.; Williams, Jeremy; Abowd, John M.; Vilhuber, Lars; Lagoze, Carl This presentation will demonstrate the latest DDI-related technological developments of Cornell University’s $3 million NSF-Census Research Network (NCRN) award, dedicated to improving the documentation, discoverability, and accessibility of public and restricted data from the federal statistical system in the United States. The current internal name for our DDI-based system is the Comprehensive Extensible Data Documentation and Access Repository (CED²AR). CED²AR ingests metadata from heterogeneous sources and supports filtered synchronization between restricted and public metadata holdings. Currently-supported CED²AR “connector workflows” include mechanisms to ingest IPUMS, zero-observation files from the American Community Survey (DDI 2.1), and SIPP Synthetic Beta (DDI 1.2). These disparate metadata sources are all transformed into a DDI 2.5 compliant form and stored in a single repository. In addition, we will demonstrate an extension to DDI 2.5 that allows for the labeling of elements within the schema to indicate confidentiality. This metadata can then be filtered, allowing the creation of derived public use metadata from an original confidential source. This repository is currently searchable online through a prototype application demonstrating the ability to search across previously heterogeneous metadata sources. Presentation at the 4th Annual European DDI User Conference (EDDI12), Norwegian Social Science Data Services, Bergen, Norway, 3 December, 2012 PB - Cornell University UR - http://hdl.handle.net/1813/30922 ER - TY - RPRT T1 - The NSF-Census Research Network: Cornell Node Y1 - 2012 A1 - Block, William C. A1 - Lagoze, Carl A1 - Vilhuber, Lars A1 - Brown, Warren A. A1 - Williams, Jeremy A1 - Arguillas, Florio AB - The NSF-Census Research Network: Cornell Node Block, William C.; Lagoze, Carl; Vilhuber, Lars; Brown, Warren A.; Williams, Jeremy; Arguillas, Florio Cornell University has received a $3M NSF-Census Research Network (NCRN) award to improve the documentation and discoverability of both public and restricted data from the federal statistical system. The current internal name for this project is the Comprehensive Extensible Data Documentation and Access Repository (CED²AR). The diagram to the right provides a high level architectural overview of the system to be implemented. The CED²AR will be based upon leading metadata standards such as the Data Documentation Initiative (DDI) and Statistical Data and Metadata eXchange (SDMX) and be flexibly designed to ingest documentation from a variety of source files. It will permit synchronization between the public and confidential instances of the repository. The scholarly community will be able to use the CED²AR as it would a conventional metadata repository, deprived only of the values of certain confidential information, but not their metadata. The authorized user, working on the secure Census Bureau network, could use the CED²AR with full information in authorized domains. PB - Cornell University UR - http://hdl.handle.net/1813/30925 ER -