Orlin News

Making Headlines Since 2005
January 2017

The National Opinion Research Center (NORC) continues to work with Orlin to enhance GSS Data Explorer website https://gssdataexplorer.norc.org bringing new analysis and visualizations to users.

August 2016

The US Census Bureau has contracted with Orlin to continue development of Web-based tools to edit and disseminate longitudinal data from the Survey of Income and Program Participation (SIPP). The Orlin Data System will open up access to these data by allowing users of these complex longitudinal files to prepare their data and carry out their analyses more accurately, cheaply, and naturally than is currently possible.

June 2016

Release of the research report Asset Limits, SNAP Participation, and Financial Stability by Caroline Ratcliffe, Signe-Mary McKernan, Laura Wheaton, Emma Cancian Kalish, Catherine Ruggles, Sara Armstrong and Christina Oberlin. The report was funded by the Food and Nutrition Service (FNS), US Department of Agriculture and used Survey of Income and Program Participation data from 1997 to 2013 to find that relaxing Supplemental Nutrition Assistance Program (SNAP) asset limits through broad-based categorical eligibility reduces SNAP churn by 26 percent.

November 2015

The National Opinion Research Center (NORC) and Orlin have partnered to create an Metadata Database for the Center for Administrative Records Research and Applications (CARRA) division of the US Census Bureau.

September 2015

The National Opinion Research Center (NORC) has subcontracted with Orlin to provide data systems evaluation as part of a larger evaluation of the Administration for Children and Families (ACF) Early Childhood Training and Technical Assistance System (T/TA System) in order to build up the data and evaluation capacity among T/TA system stakeholders and thus support continuous improvement of the T/TA system.

April 2015

NORC released its new GSS Data Explorer website using Orlin technology. The purpose of the site is to increase the accessibility of the General Social Survey (GSS) to social science researchers, economists, and universities. One of the most widely used surveys, the GSS gathers data on spending priorities, religious identity, crime and punishment, race relations, quality of life, and confidence in institutions.

January 2015

The National Opinion Research Center (NORC) has subcontracted with Orlin to analyze the Census Bureau's Supplemental Poverty Measure.

October 2014

The Food and Nutrition Service (FNS) of U.S. Department of Agriculture has contracted with Orlin Research on a two-phase project to study the effects of asset tests on SNAP participation and financial stability. Orlin Research will partner with the Urban Institute on this project.

October 2013

The University of Chicago Harris School of Public Policy has contracted with Orlin Research, Inc. to use the Orlin Data System for the Family Self-Sufficiency (FSS) Research Data Center that will increase the amount and quality of data available for FSS research, making both new and existing data sources easier to access, interpret, and analyze securely and efficiently.

September 2013

The US Census Bureau has contracted with Orlin Research, Inc., to continue development of Web-based tools to edit and disseminate longitudinal data from the Survey of Income and Program Participation (SIPP). The Orlin Data System will open up access to these data by allowing users of these complex longitudinal files to prepare their data and carry out their analyses much more accurately, cheaply, and easily than is currently possible.

June 2013

Orlin Research announces access to the DE-SynPUF data and metadata through the Orlin Data System. Developed by NORC and IMPAQ International, this synthetic dataset maintains the detailed data structure of key variables at both the beneficiary and claim levels while preserving the privacy of Medicare beneficiaries. This Orlin presentation of the data links together the synthetic dataset, including DRG, HCPCS, and ICD-9 codes and related variables, with its related metadata, including the original ResDAC CMS metadata. The DE-SynPUF sample can be analyzed for a wealth of characteristics, including demographic, clinical, and financial information, as well as for some dynamic relationships between variables. Contact us for information on using the dataset.

June 2012

Patricia Ruggles presented at the quarterly meeting of the Council of Professional Associations on Federal Statistics (COPAFS). Her talk centered on the challenges of manipulating large datasets for longitudinal analysis, a highly useful but complex technique for understanding patterns of activity over time. Using the SIPP dataset, with its 1000+ variables, Ruggles demonstrated how the Orlin system simplifies the process of preparing recodes, finding related metadata, and performing both cross-sectional and longitudinal analyses. Read her presentation here.

February 2012

Orlin Research announces the release of its beta version of the Orlin Data System, a Web-based tool set for longitudinal data analysis. Developed last fall for the Survey of Income and Program Participation (SIPP), the ODS is now undergoing testing at the US Census Bureau.

November 2011

Orlin Research has contracted with the National Institute of Child Development to produce a prototype Web-based system to catalog, search, edit, and annotate health and environment data relating to children for the National Children’s Study.

September 2011

The US Census Bureau has contracted with Orlin Research, Inc., to develop Web-based tools to edit and disseminate longitudinal data from the Survey of Income and Program Participation (SIPP). The Orlin Data System will open up access to these data by allowing users of these complex longitudinal files to prepare their data and carry out their analyses much more accurately, cheaply, and easily than is currently possible.

April 2011

Under contract with the Science Applications International Corporation (SAIC), Orlin Research has produced machine-actionable metadata from a set of semi-formatted documents based on reports submitted by grantees to the Center for Medicare and Medicaid Services. Orlin generated analytical data files by applying rule-based metadata extraction technology to these existing legacy metadata sources.

October 2010

Under contract with the National Opinion Research Center (NORC), Orlin Research, Inc., has produced an innovative data dissemination website based on its desktop application. This pilot version of the Orlin Data System hosts National Longitudinal Survey (NLS) data and metadata prepared by NORC staff. The website combines the NLS data and metadata in a user-friendly interface that harmonizes the NLS files and increases their accessibility.

July 2010

The second version of Orlin’s desktop application, the Population and Health Data Manager (PHDM), is released and renamed the Orlin Data Manager. This new release of the desktop version of the data management application contains new data sets and cloud-hosting capability.

October 2009

The first version of the PHDM desktop application is released. The system manages population and health data of any type, including hierarchical cross-sectional microdata, longitudinal data, and small-area summary files.

September 2007

Orlin is awarded the SBIR FastTrack grant to develop the PHDM desktop application to help researchers integrate data from different periods, places, and sources; reformat complex data structures for analysis; generate simple descriptive statistics for diagnostic purposes and feasibility analyses; and export subsets of variables and cases in formats suitable for analysis in any statistical package.

January 2005

Orlin Research, Inc., is formed. Siblings Catherine, Steven, and Patricia Ruggles team up to create a system that manages new sources and types of data with new technology. Catherine’s skills as a proven designer, developer, and manager of software products, combined with Steven's deep knowledge of census data and Patricia’s expertise in social statistics and policy analysis, make for a unparalleled collaboration. Their mission is to produce software products that multiply the power and efficiency of empirical research in the social sciences, to expand access to complex data sources, and to advance the methods of scientific investigation used to analyze such data.

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