{"product_id":"2940148896623","title":"Guide to Good Statistical Practice in the Transportation Field","description":"Quality of data has many faces. Primarily, it has to be relevant(i.e., useful) to its users.\u003cbr\u003eRelevance is achieved through a series of steps starting with a planning process that links\u003cbr\u003euser needs to data requirements. It continues through acquisition of data that is accurate\u003cbr\u003ein measuring what it was designed to measure and produced in a timely manner. Finally,\u003cbr\u003ethe data must be made accessibleand easy to interpret for the users. In a more global\u003cbr\u003esense, data systems also need to be completeand comparable(to both other data systems\u003cbr\u003eand to earlier versions). The creation of data that address all of the facets of quality is a\u003cbr\u003eunified effort of all of the development phases from the initial data system objectives,\u003cbr\u003ethrough system design, collection, processing, and dissemination to the users. These\u003cbr\u003esequential phases are like links in a chain. The sufficiency of each phase must be\u003cbr\u003emaintained to achieve relevance. This document is intended to help management and\u003cbr\u003edata system “owners” achieve relevance through that sequential process","brand":"ReadCycle","offers":[{"title":"Default Title","offer_id":47108913299696,"sku":"2940148896623","price":2.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/2940148896623_p0.jpg?v=1763709738","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/2940148896623","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}