{"component": "clause", "props": {"groups": [{"snippet": "Client may only upload data related to individuals that originates with or is owned by Client. Client shall not upload data purchased from third parties without Granicus\u2019 prior written consent and list cleansing Services provided by Granicus for an additional fee. Granicus will not sell, use, or disclose any personal information provided by Client for any purpose other than performing Services subject to this Agreement.", "snippet_links": [{"key": "to-individuals", "type": "clause", "offset": [36, 50]}, {"key": "owned-by-client", "type": "clause", "offset": [78, 93]}, {"key": "client-shall-not", "type": "clause", "offset": [95, 111]}, {"key": "from-third-parties", "type": "clause", "offset": [134, 152]}, {"key": "prior-written-consent", "type": "clause", "offset": [171, 192]}, {"key": "by-granicus", "type": "clause", "offset": [230, 241]}, {"key": "additional-fee", "type": "clause", "offset": [249, 263]}, {"key": "granicus-will", "type": "clause", "offset": [265, 278]}, {"key": "information-provided-by-client", "type": "clause", "offset": [319, 349]}, {"key": "performing-services", "type": "definition", "offset": [377, 396]}, {"key": "to-this-agreement", "type": "clause", "offset": [405, 422]}], "size": 17, "samples": [{"hash": "99CQAyd4ysI", "uri": "/contracts/99CQAyd4ysI#data-sources", "label": "Master Subscription Agreement", "score": 35.2889060974, "published": true}, {"hash": "getY0BQ5iDi", "uri": "/contracts/getY0BQ5iDi#data-sources", "label": "Master Subscription Agreement", "score": 35.182849884, "published": true}, {"hash": "71vjCafWF8", "uri": "/contracts/71vjCafWF8#data-sources", "label": "Master Subscription Agreement", "score": 35.0235328674, "published": true}], "hash": "1071a066617005d83b05da8e75d70d7a", "id": 1}, {"snippet": "ITHIM required 14 calibration data items covering underlying disease burdens, travel habits, physical activity participation, air pollution levels, and traffic injuries and fatalities in the study area. Table 6 summarizes the data items and the sources. Source Calibration Data Item Units Stratification San Francisco Bay Area Travel Survey 2000 Regional Travel Characteristics (MTC, 2004) Per capita mean daily travel distance Miles/person/day Travel mode Per capita mean daily travel time Minutes/person/ day Travel mode Ratio: per capita mean daily active transportation time Walk, bike, age, and sex Standard deviation of mean daily active transportation time Minutes/person/ day Walking speed Miles/hour Ratio of daily per capita bicycling time to walking time Personal auto travel distance and time Miles and hours/day Driver and passenger MTC\u2019s Travel demand model (MTC, 2017) Vehicle miles traveled (VMT) by facility type Miles/day Travel mode and road type US Census Distribution of population by age and gender % Age and sex California Health Interview Survey (UCLA, 2008) Per capita weekly non-travel related physical activity, expressed in Metabolic Equivalent Task (MET) hours MET-hours/ week Age and sex Age-sex specific ratio of disease- specific mortality rate between the Bay area and USA. Disease group, age, and sex Proportion of colon cancers from all colorectal cancers California Highway Patrol (CHP, 2008) and Transportation Injury Mapping System (SafeTREC, 2020) Serious and fatal injuries between a striking vehicle and a victim vehicle in road traffic collisions Injuries Severity, striking mode, victim mode, and road type EMFAC 2007 (CARB, 2020b) Emissions of PM2.5 attributable to light-duty vehicles Tons/day", "snippet_links": [{"key": "physical-activity", "type": "definition", "offset": [93, 110]}, {"key": "air-pollution", "type": "definition", "offset": [126, 139]}, {"key": "study-area", "type": "definition", "offset": [191, 201]}, {"key": "table-6", "type": "definition", "offset": [203, 210]}, {"key": "the-data", "type": "clause", "offset": [222, 230]}, {"key": "san-francisco-bay-area", "type": "definition", "offset": [304, 326]}, {"key": "per-capita", "type": "clause", "offset": [390, 400]}, {"key": "travel-distance", "type": "clause", "offset": [412, 427]}, {"key": "day-travel", "type": "definition", "offset": [441, 451]}, {"key": "daily-travel-time", "type": "clause", "offset": [473, 490]}, {"key": "active-transportation", "type": "clause", "offset": [552, 573]}, {"key": "standard-deviation", "type": "definition", "offset": [604, 622]}, {"key": "walking-speed", "type": "definition", "offset": [684, 697]}, {"key": "ratio-of", "type": "clause", "offset": [709, 717]}, {"key": "personal-auto", "type": "clause", "offset": [766, 779]}, {"key": "miles-and-hours", "type": "clause", "offset": [805, 820]}, {"key": "vehicle-miles-traveled", "type": "definition", "offset": [884, 906]}, {"key": "facility-type", "type": "definition", "offset": [916, 929]}, {"key": "distribution-of", "type": "clause", "offset": [976, 991]}, {"key": "and-gender", "type": "clause", "offset": [1010, 1020]}, {"key": "age-and-sex", "type": "clause", "offset": [1023, 1034]}, {"key": "mortality-rate", "type": "definition", "offset": [1262, 1276]}], "size": 2, "samples": [{"hash": "b0CByksJfVE", "uri": "/contracts/b0CByksJfVE#data-sources", "label": "Technical Memorandum", "score": 31.9823188782, "published": true}, {"hash": "26ceynVPPe6", "uri": "/contracts/26ceynVPPe6#data-sources", "label": "Technical Memorandum", "score": 31.9823188782, "published": true}], "hash": "6c0e72a734dd7723f8555bc8334f856f", "id": 2}, {"snippet": "Table 10 list the data items used for NAMPO\u2019s implementation of ITHIM. Middle TN Transportation and Health Study Per capita mean daily travel distance Miles/person/day Travel mode Per capita mean daily travel time Min/person/day Travel mode Ratio: per capita mean daily active transportation time(reference group: females aged 15\u201329 years) Dimensionless Walk, bike, age, sex Standard deviation of mean daily active transportation time Min/person/day None Walking speed Miles/hour None Ratio of daily per capita bicycling time to walking time Dimensionless Bicycle, walk Personal auto travel distance and time Miles and hours/day Driver, passenger Travel Demand Model Vehicle miles traveled (VMT) by facility type Miles/day Travel mode and road type4 US Census Distribution of population by age and gender % Age, sex NHANES Per capita weekly non-travel related physical activity MET-hours/week Median of quintile of walk +bicycle METs, by age and sex TN Department of Health Age-sex specific ratio of disease- specific mortality rate between Nashville metro and USA. Dimensionless Disease group5, age, sex Proportion of colon cancers from all colorectal cancers Dimensionless None TN Department of Safety Serious and fatal injuries between a striking vehicle and a victim vehicle in road traffic collisions Injuries Severity, striking mode x victim mode, road type TN Department of Environment and Conservation Emissions of PM2.5 attributable to light-duty vehicles Tons/day None The Middle Tennessee Transportation and Health Study (MTTHS) was NAMPO\u2019s regional household travel survey conducted in 2012 (\u2587\u2587\u2587 et al., 2013). The MTTHS contained questions for residents in the MPO area regarding the origins, destinations, purposes, travel modes (including walking and cycling), start time, and end time of all trips in a 24-hour period. The travel distance between a pair of origin and destination was estimated with recommend travel route on Google Maps (\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 et al., 2017). Vehicle miles traveled by roadway types were obtained from the NAMPO\u2019s travel demand models. The 2010 US Census provided data for the study area population by age and sex. Participation in non-travel related physical activities (i.e., leisure, domestic, and occupational physical activity) were obtained from the National Health and Nutrition Examination Survey 2011\u20132012 (CDC, 2013). The most recent (2008-2010) mortality data for all diseases in the study area were provided by the Tennessee Department of Health (\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 et al., 2017). Table 11 shows the specific disease groups modeled in ITHIM by the International Classification of Diseases, version 10 codes (ICD-10). Three-year average mortality rate by age and sex was calculated for each disease condition. Traffic injuries and fatalities by roadway types (local, arterial, and highway) and by the modes involved (opposing and victim vehicle) for 2010\u20132012 were provided by the Tennessee Department of Safety. Injuries and fatalities resulted from collision between pedestrians and bicycles were not included as these accidents were not typically recorded in accident reports (\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 et al., 2017). The Tennessee Department of Environment and Conservation provided average annual PM2.5 (particulate matter smaller than 2.5 micrometers in diameter) concentrations and the estimated proportion of regional PM2.5 from light-duty vehicles. To estimate economic cost saving associated with reduced injuries and chronic disease incidence, published US estimates of the direct costs of treatment and indirect costs of lost worker productivity for relevant medical conditions were compiled from various references (Table 12). Nashville-specific costs were then calculated by multiplying the national estimates with the proportion (0.48%) of the US population living in NAMPO area (\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 et al., 2017). The Nashville-estimated costs were then multiplied by the ITHIM-predicted change in disease burden to arrive at the estimated change in cost for each condition.", "snippet_links": [{"key": "table-10", "type": "clause", "offset": [0, 8]}, {"key": "the-data", "type": "clause", "offset": [14, 22]}, {"key": "health-study", "type": "clause", "offset": [100, 112]}, {"key": "per-capita", "type": "clause", "offset": [113, 123]}, {"key": "travel-distance", "type": "clause", "offset": [135, 150]}, {"key": "day-travel", "type": "definition", "offset": [164, 174]}, {"key": "daily-travel-time", "type": "clause", "offset": [196, 213]}, {"key": "active-transportation", "type": "clause", "offset": [270, 291]}, {"key": "standard-deviation", "type": "definition", "offset": [375, 393]}, {"key": "walking-speed", "type": "definition", "offset": [455, 468]}, {"key": "ratio-of", "type": "clause", "offset": [485, 493]}, {"key": "personal-auto", "type": "clause", "offset": [570, 583]}, {"key": "miles-and-hours", "type": "clause", "offset": [609, 624]}, {"key": "vehicle-miles-traveled", "type": "definition", "offset": [667, 689]}, {"key": "facility-type", "type": "definition", "offset": [699, 712]}, {"key": "distribution-of", "type": "clause", "offset": [760, 775]}, {"key": "and-gender", "type": "clause", "offset": [794, 804]}, {"key": "physical-activity", "type": "definition", "offset": [860, 877]}, {"key": "age-and-sex", "type": "clause", "offset": [938, 949]}, {"key": "department-of-health", "type": "clause", "offset": [953, 973]}, {"key": "mortality-rate", "type": "definition", "offset": [1018, 1032]}, {"key": "environment-and-conservation", "type": "clause", "offset": [1381, 1409]}, {"key": "start-time", "type": "definition", "offset": [1776, 1786]}, {"key": "end-time", "type": "clause", "offset": [1792, 1800]}, {"key": "all-trips", "type": "clause", "offset": [1804, 1813]}, {"key": "google-maps", "type": "clause", "offset": [1941, 1952]}, {"key": "provided-data", "type": "definition", "offset": [2091, 2104]}, {"key": "study-area", "type": "definition", "offset": [2113, 2123]}, {"key": "the-national", "type": "clause", "offset": [2288, 2300]}, {"key": "health-and", "type": "clause", "offset": [2301, 2311]}, {"key": "most-recent", "type": "definition", "offset": [2368, 2379]}, {"key": "mortality-data", "type": "clause", "offset": [2392, 2406]}, {"key": "in-the-study", "type": "clause", "offset": [2424, 2436]}, {"key": "table-11", "type": "clause", "offset": [2520, 2528]}, {"key": "international-classification-of-diseases", "type": "definition", "offset": [2587, 2627]}, {"key": "not-included", "type": "clause", "offset": [3037, 3049]}, {"key": "accident-reports", "type": "clause", "offset": [3100, 3116]}, {"key": "particulate-matter", "type": "definition", "offset": [3231, 3249]}, {"key": "cost-saving", "type": "definition", "offset": [3401, 3412]}, {"key": "associated-with", "type": "definition", "offset": [3413, 3428]}, {"key": "disease-incidence", "type": "definition", "offset": [3458, 3475]}, {"key": "costs-of", "type": "clause", "offset": [3514, 3522]}, {"key": "indirect-costs", "type": "definition", "offset": [3537, 3551]}, {"key": "medical-conditions", "type": "clause", "offset": [3593, 3611]}, {"key": "table-12", "type": "definition", "offset": [3651, 3659]}, {"key": "living-in", "type": "definition", "offset": [3795, 3804]}, {"key": "estimated-costs", "type": "definition", "offset": [3856, 3871]}, {"key": "change-in-cost", "type": "clause", "offset": [3968, 3982]}], "size": 2, "samples": [{"hash": "b0CByksJfVE", "uri": "/contracts/b0CByksJfVE#data-sources", "label": "Technical Memorandum", "score": 31.9823188782, "published": true}, {"hash": "26ceynVPPe6", "uri": "/contracts/26ceynVPPe6#data-sources", "label": "Technical Memorandum", "score": 31.9823188782, "published": true}], "hash": "7ca0b0a27df5e2e5bd83389ca5ab4bae", "id": 3}, {"snippet": "Data uploaded into Granicus Products and Services must be brought in from Client sources (interactions with end users and opt-in contact lists). Client cannot upload purchased contact information into Granicus Products and Services without Granicus\u2019 written permission and professional services support for list cleansing.", "snippet_links": [{"key": "granicus-products-and-services", "type": "definition", "offset": [19, 49]}, {"key": "end-users", "type": "definition", "offset": [108, 117]}, {"key": "contact-lists", "type": "clause", "offset": [129, 142]}, {"key": "contact-information", "type": "clause", "offset": [176, 195]}, {"key": "written-permission", "type": "clause", "offset": [250, 268]}, {"key": "services-support", "type": "definition", "offset": [286, 302]}], "size": 2, "samples": [{"hash": "cvBVGAP4CcY", "uri": "/contracts/cvBVGAP4CcY#data-sources", "label": "Amendment to Addendum to Granicus, Llc\u2019s Agreement", "score": 35.9692764282, "published": true}, {"hash": "6oRIV5BuJLp", "uri": "/contracts/6oRIV5BuJLp#data-sources", "label": "Addendum to Granicus, Llc\u2019s Agreement", "score": 35.7349014282, "published": true}], "hash": "842142c44aa2e144b455cd0b50ae4106", "id": 4}, {"snippet": "Explain where the data will be obtained, and efforts to validate and clean the data. Discuss the quality and limitations of the data sources. If primary data (data collected specifically for the evaluation) \u2013 The methods by which the data will be collected, the source of the proposed question/responses, the frequency and timing of data collection, and the method of data collection. (Copies of any proposed surveys must be reviewed with CMS for approval before implementation).", "snippet_links": [{"key": "the-data", "type": "clause", "offset": [14, 22]}, {"key": "to-validate", "type": "definition", "offset": [53, 64]}, {"key": "primary-data", "type": "clause", "offset": [145, 157]}, {"key": "data-collected", "type": "clause", "offset": [159, 173]}, {"key": "the-evaluation", "type": "clause", "offset": [191, 205]}, {"key": "source-of", "type": "definition", "offset": [262, 271]}, {"key": "the-proposed", "type": "clause", "offset": [272, 284]}, {"key": "timing-of", "type": "clause", "offset": [323, 332]}, {"key": "method-of-data-collection", "type": "clause", "offset": [358, 383]}, {"key": "copies-of", "type": "definition", "offset": [386, 395]}, {"key": "for-approval", "type": "definition", "offset": [443, 455]}], "size": 2, "samples": [{"hash": "adr8qtmEghR", "uri": "/contracts/adr8qtmEghR#data-sources", "label": "Special Terms and Conditions", "score": 31.6242313385, "published": true}, {"hash": "k9PHmy9orES", "uri": "/contracts/k9PHmy9orES#data-sources", "label": "Special Terms and Conditions", "score": 21.5229301453, "published": true}], "hash": "42effd85187d5ca8a7199ebd86430f4f", "id": 5}, {"snippet": "In the past, Annual Reports have used a Statistics Canada survey, the Survey of Labour and Income Dynamics (SLID), to present societal indicators in LMAPD Annual Reports (e.g., employment income levels of persons with disabilities). As announced by the Government of Canada, SLID data is being replaced by data from the Canadian National Household Income Survey. The federal government was not able to provide Survey data to provinces and territories in time for the required posting of this Report by December 3, 2014. The Ministry will make this data available once received. For reference, 2011 social indicator data is provided in the Appendix of this report. Ontario\u2019s program data is derived from ministry and service provider databases.", "snippet_links": [{"key": "annual-reports", "type": "definition", "offset": [13, 27]}, {"key": "statistics-canada", "type": "definition", "offset": [40, 57]}, {"key": "the-survey", "type": "clause", "offset": [66, 76]}, {"key": "societal-indicators", "type": "clause", "offset": [126, 145]}, {"key": "persons-with-disabilities", "type": "clause", "offset": [205, 230]}, {"key": "government-of-canada", "type": "definition", "offset": [253, 273]}, {"key": "the-canadian", "type": "clause", "offset": [316, 328]}, {"key": "household-income", "type": "definition", "offset": [338, 354]}, {"key": "the-federal-government", "type": "clause", "offset": [363, 385]}, {"key": "to-provide", "type": "clause", "offset": [399, 409]}, {"key": "survey-data", "type": "clause", "offset": [410, 421]}, {"key": "provinces-and-territories", "type": "definition", "offset": [425, 450]}, {"key": "in-time", "type": "clause", "offset": [451, 458]}, {"key": "required-posting", "type": "clause", "offset": [467, 483]}, {"key": "by-december", "type": "clause", "offset": [499, 510]}, {"key": "the-ministry", "type": "definition", "offset": [520, 532]}, {"key": "data-available", "type": "clause", "offset": [548, 562]}, {"key": "for-reference", "type": "clause", "offset": [578, 591]}, {"key": "the-appendix", "type": "clause", "offset": [635, 647]}, {"key": "program-data", "type": "clause", "offset": [674, 686]}, {"key": "service-provider", "type": "clause", "offset": [716, 732]}], "size": 2, "samples": [{"hash": "ghaw1RbXRs4", "uri": "/contracts/ghaw1RbXRs4#data-sources", "label": "Labour Market Agreement", "score": 19.4572219849, "published": true}, {"hash": "6aIYvjnM0cN", "uri": "/contracts/6aIYvjnM0cN#data-sources", "label": "Labour Market Agreement", "score": 19.4572219849, "published": true}], "hash": "f77b8482cb4aa8ce17e60653dd30b59b", "id": 6}, {"snippet": "Table 14 shows the data items and sources for ITHIM SACOG implementation. Rather than obtaining travel behavior data from regional travel surveys like the implementations in San Francisco Bay Area and NAMPO, \u2587\u2587 et al. (2019) sourced travel behavior data from SACSIM15, which is an activity-based model built and calibrated to produce disaggregate travel data at the individual level (SACOG, 2015). SACSIM15 outputs for the 2016 MTP/SCS were used to estimate the average active transportation (walking and cycling) time (i.e., minutes per day) and average distance (i.e., miles per day) for each demographic group for all analysis scenarios. VMT outputs from SACSIM15 for each travel mode was estimated. Health data for all-cause mortality statistics were obtained from the California Department of Public Health (CDPH) vital records data and statistics (CDPH, 2020). Average annual all-cause mortality rates by age-sex-race/ethnicity and age-sex income level categories were calculated for each county in the SACOG region. Due to small African-American population in some counties, annual all-cause mortality rate for the Black population is only available for the entire region rather than for each county. The U.S. disease burden data for all age-sex categories were derived from the Global Burden of Disease (GBD) database (Institute for Health Metrics and Evaluation, 2017). The California Health Interview Survey (UCLA, 2012) data were used to identify characteristics of non-transport physical activities for residents of SACOG. MET-hours per week are calculated for occupational and exercise physical activity (non-travel METs) in the same way as the San Francisco Bay Area study by \u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 et al. (2013). Source Calibration Data Item Units Stratification Sacramento Activity- Based Travel Simulation Model (SACSIM15) (SACOG, 2015) Per capita mean daily travel distance Miles/person/ day Travel mode Per capita mean daily travel time Minutes/person/ day Travel mode Ratio: per capita mean daily active transportation time Walk, bike, age, and sex Standard deviation of mean daily active transportation time Minutes/person/ day Walking speed Miles/hour Ratio of daily per capita bicycling time to walking time Personal auto travel distance and time Miles and hours/day Driver and passenger Vehicle miles traveled (VMT) by facility type Miles/day Travel mode and road type US Census Distribution of population by age and gender % Age and sex California Health Interview Survey (UCLA, 2008) Per capita weekly non-travel related physical activity, expressed in Metabolic Equivalent Task (MET) hours MET-hours/ week Age and sex Proportion of colon cancers from all colorectal cancers California Department of Public Health (CDPH) Vital Records Data and Statistics (CDPH, 2020) Age-sex specific ratio of disease- specific mortality rate between the SACOG area and USA. Disease group, age, and sex Transportation Injury Mapping System (SafeTREC, 2020) Serious and fatal injuries between a striking vehicle and a victim vehicle in road traffic collisions Injuries Severity, striking mode, victim mode, and road type Traffic injury data for the Sacramento region were obtained from the Transportation Injury Mapping System from the Statewide Integrated Traffic System (SWITRS) geocoded by University of California, Berkeley Safety Transportation Resource and Education Center (SafeTREC, 2020). Due to data limitation, mortality and disease burden of traffic injures can only be disaggregated by race/ethnicity categories without income level differentiation. To perform equity analysis, travel behavior and health data for each race/ethnicity group and household income group are required (\u2587\u2587 et al., 2019). Due to unavailability of race/ethnicity and income variables in required datasets, the hot deck imputation method (D\u2019Orazio et al., 2006), a type of data fusion, was used to synthesize the missing variables. The hot deck imputation method synthesized the race/ethnicity statistics for the entire SACOG region based on the limited number of samples in the 2012 American Community Survey Public Use Microdata Sample (ACS PUMS) and SACSIM15 as the recipient. Hot deck imputation was performed for the race/ethnicity variable in travel behavior data and mortality rate variables in health data.", "snippet_links": [{"key": "table-14", "type": "definition", "offset": [0, 8]}, {"key": "the-data", "type": "clause", "offset": [15, 23]}, {"key": "san-francisco-bay-area", "type": "definition", "offset": [174, 196]}, {"key": "the-individual", "type": "clause", "offset": [362, 376]}, {"key": "active-transportation", "type": "clause", "offset": [470, 491]}, {"key": "per-day", "type": "definition", "offset": [534, 541]}, {"key": "health-data", "type": "clause", "offset": [703, 714]}, {"key": "department-of-public-health", "type": "clause", "offset": [784, 811]}, {"key": "vital-records", "type": "definition", "offset": [819, 832]}, {"key": "mortality-rates", "type": "definition", "offset": [892, 907]}, {"key": "county-in", "type": "definition", "offset": [995, 1004]}, {"key": "the-us", "type": "clause", "offset": [1208, 1215]}, {"key": "the-global", "type": "definition", "offset": [1282, 1292]}, {"key": "and-evaluation", "type": "clause", "offset": [1356, 1370]}, {"key": "characteristics-of", "type": "definition", "offset": [1458, 1476]}, {"key": "per-week", "type": "definition", "offset": [1545, 1553]}, {"key": "and-exercise", "type": "clause", "offset": [1586, 1598]}, {"key": "physical-activity", "type": "definition", "offset": [1599, 1616]}, {"key": "per-capita", "type": "clause", "offset": [1840, 1850]}, {"key": "travel-distance", "type": "clause", "offset": [1862, 1877]}, {"key": "day-travel", "type": "definition", "offset": [1892, 1902]}, {"key": "daily-travel-time", "type": "clause", "offset": [1924, 1941]}, {"key": "standard-deviation", "type": "definition", "offset": [2055, 2073]}, {"key": "walking-speed", "type": "definition", "offset": [2135, 2148]}, {"key": "ratio-of", "type": "clause", "offset": [2160, 2168]}, {"key": "personal-auto", "type": "clause", "offset": [2217, 2230]}, {"key": "miles-and-hours", "type": "clause", "offset": [2256, 2271]}, {"key": "vehicle-miles-traveled", "type": "definition", "offset": [2297, 2319]}, {"key": "facility-type", "type": "definition", "offset": [2329, 2342]}, {"key": "distribution-of", "type": "clause", "offset": [2389, 2404]}, {"key": "and-gender", "type": "clause", "offset": [2423, 2433]}, {"key": "age-and-sex", "type": "clause", "offset": [2436, 2447]}, {"key": "university-of-california", "type": "clause", "offset": [3288, 3312]}, {"key": "education-center", "type": "definition", "offset": [3358, 3374]}, {"key": "equity-analysis", "type": "definition", "offset": [3569, 3584]}, {"key": "behavior-and-health", "type": "clause", "offset": [3593, 3612]}, {"key": "ethnicity-group", "type": "clause", "offset": [3632, 3647]}, {"key": "income-group", "type": "definition", "offset": [3662, 3674]}, {"key": "type-of-data", "type": "clause", "offset": [3848, 3860]}, {"key": "based-on", "type": "definition", "offset": [4016, 4024]}, {"key": "the-limited", "type": "definition", "offset": [4025, 4036]}, {"key": "number-of-samples", "type": "clause", "offset": [4037, 4054]}, {"key": "american-community-survey", "type": "definition", "offset": [4067, 4092]}, {"key": "public-use", "type": "definition", "offset": [4093, 4103]}, {"key": "the-recipient", "type": "definition", "offset": [4148, 4161]}], "size": 2, "samples": [{"hash": "b0CByksJfVE", "uri": "/contracts/b0CByksJfVE#data-sources", "label": "Technical Memorandum", "score": 31.9823188782, "published": true}, {"hash": "26ceynVPPe6", "uri": "/contracts/26ceynVPPe6#data-sources", "label": "Technical Memorandum", "score": 31.9823188782, "published": true}], "hash": "f019fe7ca16c779d9bf7181eb4461d35", "id": 7}, {"snippet": "This study used a mixed - methods design to gather quantitative and qualitative data simultaneously (\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587, 2012). The questionnaires used open - ended and closed-ended questions with 5 point Likert scales. By answering the questions, the extent of partnership between schools and pedagogy universities in teacher education can be revealed and recognized. In this study, the characteristics of partnership between schools and teacher education universities in teacher education were used as a theoretical framework to set up specific themes and questions for the questionnaires. Accordingly, the questionnaires focus on determining awareness and attitudes implemented by teachers, lecturers and students in practicum process. The questionnaires were discussed intensively several times with other researchers as regarding their words before they were used in practice. In this study, the data come from three main sources: \u2022 Teacher questionnaires, \u2022 Student questionnaires, \u2022 Lecturers questionnaires The questionnaires applied similar content for the questions, with an emphasis on specific, visible and measurable manifestations of the partnership between schools and teacher education universities in teacher education and attitudes about the activities of school and teacher education universities. Specifically, the questions were about: \u2022 The importance and level of the coordinating contents between the school and the pedagogy university in practicum to training teachers; \u2022 The level of implementation and awareness between the school and the teacher education university in practicum to training teachers;", "snippet_links": [{"key": "qualitative-data", "type": "clause", "offset": [68, 84]}, {"key": "teacher-education", "type": "clause", "offset": [309, 326]}, {"key": "characteristics-of", "type": "definition", "offset": [378, 396]}, {"key": "theoretical-framework", "type": "clause", "offset": [496, 517]}, {"key": "in-practice", "type": "definition", "offset": [859, 870]}, {"key": "the-data", "type": "clause", "offset": [887, 895]}, {"key": "student-questionnaires", "type": "clause", "offset": [954, 976]}, {"key": "the-partnership", "type": "clause", "offset": [1138, 1153]}, {"key": "the-activities", "type": "clause", "offset": [1246, 1260]}, {"key": "the-school", "type": "definition", "offset": [1411, 1421]}, {"key": "training-teachers", "type": "clause", "offset": [1466, 1483]}, {"key": "the-teacher", "type": "definition", "offset": [1552, 1563]}], "size": 2, "samples": [{"hash": "kmRknmI1se2", "uri": "/contracts/kmRknmI1se2#data-sources", "label": "Partnership Agreements", "score": 28.5498142242, "published": true}, {"hash": "5kCvNBZL7WM", "uri": "/contracts/5kCvNBZL7WM#data-sources", "label": "Partnership Agreements", "score": 23.2758388519, "published": true}], "hash": "7e6392b89ee7e09f99d6c8e36211eefa", "id": 8}, {"snippet": "The Committee may use whatever data sources it deems appropriate, excluding, however, anonymous surveys, provided the data it intends to use in a mid or end cycle review or summative evaluation has been reduced to writing and shared with the Superintendent at least 14 calendar days before the meeting in a timely manner. Due to the unreliability and potential prejudice of anonymous or so-called \u201c360\u201d evaluations, these instruments shall not be solicited or utilized as part of the evaluation procedure.", "snippet_links": [{"key": "the-committee", "type": "clause", "offset": [0, 13]}, {"key": "the-data", "type": "clause", "offset": [114, 122]}, {"key": "summative-evaluation", "type": "clause", "offset": [173, 193]}, {"key": "reduced-to-writing", "type": "definition", "offset": [203, 221]}, {"key": "the-superintendent", "type": "clause", "offset": [238, 256]}, {"key": "calendar-days", "type": "clause", "offset": [269, 282]}, {"key": "before-the-meeting", "type": "clause", "offset": [283, 301]}, {"key": "in-a-timely-manner", "type": "definition", "offset": [302, 320]}, {"key": "the-evaluation-procedure", "type": "clause", "offset": [480, 504]}], "size": 2, "samples": [{"hash": "cJiVy3nLgcX", "uri": "/contracts/cJiVy3nLgcX#data-sources", "label": "Employment Agreement", "score": 23.8571052551, "published": true}], "hash": "9b6d9c6e15116d6949155bfc8a7d7a6b", "id": 9}, {"snippet": "All data sources that are generally available to all Restaurant365 clients (\u201cData Sources\u201d) will be, subject to the following sentence, available to Customer. Restaurant365 does not guarantee access to or quality of any particular Data Source, as Restaurant365 does not guaranty connectivity between Customer and any third party Data Source. In the event that Restaurant365 is required to pay any fees to any Data Source provider for Customer data, then Customer may elect to include such Data Source for an additional fee. Restaurant365 will be entitled to remove any Data Source from the services for any reason in its reasonable discretion, including but not limited to the following: (a) Restaurant365 determines that retrieval of Customer data from such Data Source violates any law, rule, regulation or court order; (b) Restaurant365 receives notice or demand from the Data Source provider responsible for such Data Source that threatens legal action based on retrieval of Customer data from such Data Source; or (c) the Data Source becomes technically unavailable or inaccessible.", "snippet_links": [{"key": "available-to", "type": "definition", "offset": [36, 48]}, {"key": "subject-to-the", "type": "definition", "offset": [101, 115]}, {"key": "to-customer", "type": "clause", "offset": [146, 157]}, {"key": "access-to", "type": "definition", "offset": [192, 201]}, {"key": "third-party-data", "type": "clause", "offset": [317, 333]}, {"key": "in-the-event", "type": "clause", "offset": [342, 354]}, {"key": "to-pay", "type": "clause", "offset": [386, 392]}, {"key": "for-customer", "type": "clause", "offset": [430, 442]}, {"key": "customer-may", "type": "clause", "offset": [454, 466]}, {"key": "additional-fee", "type": "clause", "offset": [508, 522]}, {"key": "for-any-reason", "type": "clause", "offset": [599, 613]}, {"key": "reasonable-discretion", "type": "definition", "offset": [621, 642]}, {"key": "not-limited", "type": "clause", "offset": [658, 669]}, {"key": "retrieval-of-customer-data", "type": "clause", "offset": [722, 748]}, {"key": "court-order", "type": "definition", "offset": [809, 820]}, {"key": "notice-or-demand", "type": "clause", "offset": [849, 865]}, {"key": "the-data", "type": "clause", "offset": [871, 879]}, {"key": "responsible-for", "type": "clause", "offset": [896, 911]}, {"key": "legal-action", "type": "clause", "offset": [944, 956]}, {"key": "based-on", "type": "definition", "offset": [957, 965]}], "size": 2, "samples": [{"hash": "6CWRPgikFxH", "uri": "/contracts/6CWRPgikFxH#data-sources", "label": "Master Subscription Agreement", "score": 35.171962738, "published": true}], "hash": "00bf1274b0a38f7be9cdc224e70bb4b5", "id": 10}], "next_curs": "ClUST2oVc35sYXdpbnNpZGVyY29udHJhY3RzcjELEhZDbGF1c2VTbmlwcGV0R3JvdXBfdjU2IhVkYXRhLXNvdXJjZXMjMDAwMDAwMGEMogECZW4YACAA", "clause": {"children": [["miscellaneous", "Miscellaneous"], ["xr-product", "XR Product"], ["ir-product", "IR Product"], ["growth-and-yield-monitoring-plots", "Growth and Yield Monitoring Plots"], ["rotation-2-permanent-sample-plots", "Rotation 2 Permanent Sample Plots"]], "title": "Data Sources", "parents": [["intellectual-property-ownership-and-use-rights", "Intellectual Property Ownership and Use Rights"], ["introduction", "Introduction"], ["methodology", "Methodology"], ["methods", "Methods"], ["amendments", "Amendments"]], "size": 79, "id": "data-sources", "related": [["links", "Links", "Links"], ["data-subjects", "Data Subjects", "Data Subjects"], ["data-encryption", "Data Encryption", "Data Encryption"], ["data-storage", "Data Storage", "Data Storage"], ["data-services", "Data Services", "Data Services"]], "related_snippets": [], "updated": "2025-07-24T04:27:57+00:00", "also_ask": [], "drafting_tip": null, "explanation": "The Data Sources clause defines which data, databases, or information repositories are authorized for use under the agreement. It typically specifies the origin, type, and scope of data that parties may access or rely upon, such as internal company records, third-party databases, or publicly available information. By clearly identifying permissible data sources, this clause helps prevent disputes over data validity and ensures that all parties operate with a shared understanding of what information can be used, thereby promoting transparency and reducing the risk of relying on inaccurate or unauthorized data."}, "json": true, "cursor": ""}}