Skip to main content

Currently Skimming:

Appendix A: Case Study Evaluation Criteria
Pages 121-127

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 121...
... The specific criteria in each area derive from basic data management and data integration issues. Since these five areas represent a somewhat arbitrary separation of issues, there is some overlap among the specific criteria proposed for each area.
From page 122...
... If not, why not? Technical Aspects · Did the study create specialized algorithms, routines, data management procedures, or database structures to accommodate users' needs?
From page 123...
... Other design issues related to program structure and management are listed below in the section "Institutional Issues." Technical questions to consider include the following. Conceptual Framework · Was the study based on an overall conceptual model that described the relationships (both theoretical and functional)
From page 124...
... Historical data may contain numerous errors, often lack adequate documentation, may be collected or processed inconsistently from place to place or over time, may lack critical quality control information, and may be stored in incompatible formats. New data may represent a wide variety of data types, as well as spatial and temporal scales.
From page 125...
... · Were there data formatting or quality standards that proved use · What lessons were learned that would be applicable to other stud DATA MANAGEMENT Data management refers to the provisions for handling the data at each step of the data path, from initial study design, through data collection, accessing, and analysis, to final reporting and archiving. It refers not only to specific technical procedures, but also to the overall plan for ensuring the original quality of the data and preventing their degradation over time.
From page 126...
... Planning for the Future uses? · Did data management procedures and systems explicitly consider future potential needs?
From page 127...
... · Did existing data management practices impede data integration?


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.