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Pages 1-14

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From page 1...
... Food insecurity and inadequate nutrition are strongly associated with a range of health and social consequences, including acute birth outcomes, impaired academic performance, and behavioral control and acuity problems. Understanding why people choose foods, how food assistance programs affect these choices, and what the health impacts are must be informed by a multisource, interconnected, reliable data system.
From page 2...
... The charge also asked for guidance regarding future iterations of ERS's National Household Food Acquisition and Purchase Survey (FoodAPS) , which was the first comprehensive survey on food acquisitions from all sources.
From page 3...
... inclusion of appropriate administrative data on program participation linked with nationally or regionally representative survey or administrative data on the population of potentially eligible persons. DESIRABLE CHARACTERISTICS OF A CONSUMER FOOD AND NUTRITION DATA SYSTEM Recognizing that tradeoffs must be made, the panel identified several characteristics of a data system that are desirable in terms of its usefulness for research and informing policy: • Comprehensiveness.
From page 4...
... , and proprietary commercial data (including retail scanner data, household scanner data, and geospatial information on food stores and restaurants)
From page 5...
... Commercial data -- obtained directly from food vendors or from companies engaged as third-party private aggregators, such as Nielsen and IRI -- have become increasingly desirable because of the high volume, detail, and frequency of information they can provide about food prices, food outlets, and the spectrum of food choices within those outlets. However, by their nature, commercial data are not designed for research purposes, and they are typically only made available under restrictive arrangements.
From page 6...
... One example of this design element is the use of official SNAP administrative records to create a frame for sampling SNAP recipients. Information on nutrient intake and the retail environment was added using commercially produced barcodes, product descriptions, and household location data.
From page 7...
... Examples include the Food Security Supplement (in the Current Population Survey) , the Flexible Consumer Behavior Survey (in the National Health and Nutrition Examination Survey3 [NHANES]
From page 8...
... Similar cross-state over-time policy databases on additional food assistance programs, such as Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) , the School Breakfast Program, the National School Lunch Program, and the Child and Adult Care Food Program should be estab lished and updated annually by ERS.
From page 9...
... ERS should develop specifica tions for their process whereby researchers access administrative and commercial data, and for how researcher-provided data can be brought in and linked to other data. Coordinated data sharing would involve careful assessment of the quality and comparability, across locations, of the administrative data brought in.
From page 10...
... should exploit new ideas for integrating commercial data into the Consumer Food Data System. For example, to produce a long "time series" of data on Supplemental Nutrition Assistance Program (SNAP)
From page 11...
... Overcoming the above hurdles will guide ERS's quest for accurate and applicable data sources. RECOMMENDATION 4.9: As with survey and administrative data, commercial data in the Consumer Food Data System should be con tinually reviewed for accuracy.
From page 12...
... Surveys provide household- and individual-level data that cannot always be acquired through other means. RECOMMENDATION 4.1: A key task for the Consumer Food Data System is to assess the quality of survey data across sources and over time.
From page 13...
... This should include information generated in activi ties funded or sponsored by ERS and Food and Nutrition Service, in cluding the food assistance programs and other programs whose output is included in the Consumer Food Data System. Taking advantage of multiple data sources requires that the ERS FED partner with other agencies to leverage strengths.
From page 14...
... creating policy databases to enhance causal research.


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