Data Variables Clause Samples

The Data Variables clause defines the specific data elements or fields that are relevant to the agreement or process at hand. It typically lists or describes the types of data that will be collected, processed, or exchanged, such as names, dates, transaction amounts, or other pertinent information. By clearly identifying these variables, the clause ensures that all parties understand what data is involved, thereby reducing ambiguity and supporting compliance with data management or privacy requirements.
Data Variables. Variable name Type Length Description Value labels 1. yearcertno Char 15 4 digit-year and state file number
Data Variables. The main focus of the workshop was on how data users ranked each variable in terms of priority for data collection, and how many observer programs collect each variable. Bar graphs were presented to the workshop participants summarizing the results of the surveys for each data variable, grouped by category (Figures 3-23)2. Bar graphs included the following: • Data variables along the x axis • Percentage of data users that ranked each variable along the y axis, expressed in terms of cumulative percent for each ranking category • Percentage of observer programs that collect each variable along the top of the bar graph. On each chart, a line was drawn horizontally at y=50% to provide a reference point to determine whether there was a majority of data users that indicated the variable was a priority for data collection (i.e., ranked as critical or preferred by data users). Using this simple measure, a majority is considered any number of respondents greater than 50%. Each category of variables and set of bar graphs is accompanied by a brief summary identifying the variables included in that category and highlighting those variables in which >50% of data 2 The bar graphs presented in this summary were updated from the ones presented at the workshop, after incorporating survey responses received shortly after the workshop. users responded were either critical or preferred. For priority data variables, the narrative also indicates how observer programs rated each variable in terms of how feasible or easy it was to collect. Appendix C provides the full list of variables included in the surveys, grouped by category, as well as the number of responses received by data users for each category of response (critical, preferred, optimal, not important, and not applicable/blank), by variable. Appendix C also provides the actual number of observer program respondents that indicated they collect each variable. Appendix D provides observer program responses to feasibility of collecting each variable. Nine temporal variables were included in the pre-workshop surveys: date of gear deployment, date of gear retrieval, time gear deployment began, time gear deployment ended, time gear retrieval began, time gear retrieval ended, time of capture (of the bycatch species)3, time zone, and time-of-day4 (Figure 3). Data users indicated that gear deployment and gear retrieval dates had the highest priority for data collection among the temporal variables. Seventy two percent of data use...