Data Dictionary Clause Samples

Data Dictionary. The data dictionary can be seen as a first step towards developing a full-fledged ontology for colon cancer. It provides a basic set of entities and attributes to be included in the ontology and takes into account the actual level of information available in clinical and biobank information systems. The data dictionary is also suitable for semantically mapping the data from the source biobanks to a standard data model used for the CCDC. The interface described in this report allows this to happen in a manual data entry process, while the future ETL adapters will use the data model to provide semi- automatic mapping. This leads to harmonization of the diverse source data, and allows users to discover comparable data with a single search. The data dictionary is therefore an important intermediate result for creating semantic interoperability of biobank data in ADOPT. Figure 2 Patient form for the CCDC Figure 3 Sample form for CCDC

Data Dictionary. Prior to go-live, the Service Provider shall provide a data dictionary in accordance with the State of Delaware Data Modeling Standard.

Data Dictionary. Me software for the Information Desktop tools will reside on equipment located at Customer's facility and operated by Customer's employees.

Data Dictionary. EPA, SCDHEC, and SRS recognize that each regulatory report is unique and may require the collection of data that is unique to an individual RCRA/CERCLA Unit or Operable Unit. SRS will define the unique fields and their use upon delivery of the data. DOE will provide a functional data dictionary with the transmission of electronic data for each individual report submitted.

Data Dictionary. The aim of this section is to present the data dictionary, giving further detail on the entity previously described. Each UML model class equates to a data dictionary entity. Each UML model class attribute equates to a data dictionary element. The shaded rows define entities. The entities and elements within the data dictionary are defined by six attributes (those attributes are listed below and are based on those specified in ISO/IEC 11179-3 for the description of data element concepts, i.e. data elements without representation). The term “dataset” when used as part of a definition is synonymous with all types of geographic data resources (aggregations of datasets, individual features and the various classes that compose a feature).

Data Dictionary. Contractor shall provide a human-understandable data dictionary for the Database Software such that County staff may understand what, where and how data is stored in the Database and how the data elements relate to one another.

Data Dictionary. A group of domain experts and IT experts created the data dictionary which defines the data elements to be used for the CCDC. The goal was to create a comprehensive data dictionary for annotating the available biomaterial, such that the resulting data collection can be used for answering a wide range of research questions. The data dictionary not only serves as a specification for the data entry interface, but also provides a solid basis for developing a colon cancer ontology and providing a terminology service for semantic ontology mapping. A data dictionary is defined as a set of defined common data elements (CDE) for data entry and retrieval by search criteria. Its data elements are systematically ordered in a hierarchical structure similar to a taxonomy and identified by a unique global key common to all participating institutions. The key and its designation constitute a defined data element, which is an IT representation of a medical attribute. To create the CCDC data dictionary, the expert group started by identifying a list of medically relevant attributes. Unlike a collection developed to answer a specific research question, the CCDC is a general-purpose collection whose prospective users display a wide variety of information needs. The data dictionary reflects this by defining a basic set of data elements which cover the information typically recorded about a colon cancer case, thus enabling flexibility in servicing diverse queries. The medical experts ensured that the list of items to be included in the dictionary contains items with high clinical and scientific relevance. The IT experts created an entity relationship model based on the medical experts’ list, using input from the medical experts to determine the relationship between the entities and their attributes. They ensured that all data elements are disjoint, unambiguous, and that for each data element, there is a well-defined range of values. The data elements were based on typical data gathered during the course of a colon cancer case, describing both diagnostic and therapeutic measures. Where possible, the items were based on existing classification systems, such as the ICD-10 for diagnosis and the UICC scale for tumor grading. For the remaining answers, the vocabulary was chosen such that it reflects typical clinical use and minimizes potential ambiguity. The data dictionary can be extended, if user feedback determines that this is necessary.