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                        "description": "The University of Sheffield is looking to contract for the purchase of a longitudinal household panel dataset comprising 30,000 households in Great Britain and containing information on purchases of alcoholic drinks, including non-alcoholic and low-alcohol drinks, that are brought into the home.  \nThe required dataset covers the period 2018 to 2025 and includes information on the sociodemographic characteristics of the households, as well as the products purchased and prices paid. \nThe University of Sheffield will use the dataset to conduct statistical analyses of trends and patterns in purchasing of non-alcoholic and low-alcohol drink purchasing over time, and the relationship of this to purchasing of other alcoholic drinks. \nThis work forms part of a larger programme of research to understand the public health impact of non-alcoholic and low-alcohol drinks in the UK.",
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                                "description": "The dataset required comprises information from a longitudinal panel of 30,000 households representative of households resident in Great Britain.  Households scan the barcode of all grocery products brought into the home. Households that leave the panel are continuously replaced by those with similar characteristics.  \nThe purchased data will cover the years 2018 to 2025.  Two sets of disaggregated shopper data (as set out below) are being purchased as follows:-\ni)\tProduct and shopper demographic data for all Take Home purchases of alcohol and no/low alcohol products; and\nii)\tShopper demographic data for those shoppers not purchasing any alcohol or no/low alcohol products\nDetails of what information/data each dataset will include are as follows:-\nProduct Detail for all Alcohol & No/Low Alcohol Products Purchased by the Household Panel - to include:\n- Date of purchase \n- Category \n- Brand \n- Number of packs bought \n- Number in a pack \n- Pack size (ml) \n- Pack Type \n- ABV \n- PromoFlag (details whether/what type pf promotion) \n- Price paid\nDemographics & household information for i) shoppers who purchased Alcohol & No/Low Alcohol Products OR ii) who did not purchase any Alcohol & No/Low Alcohol Products - to include: \n- Household size \n- Age of main shopper \n- Region\n- Social Class \n- Presence of Children \n- Age of youngest child \n- Annual household Income \n- Ethnicity \n- Highest Qualification \n- Tenure \n- Postcode (partial - GDPR prevents otherwise) \n- Lifestage (empty nester, pre family, retired etc) \n- Urban/Rural Dweller \n- Total Council Tax Band \n- Highest qualification \n- Car Ownership \n- Newspaper Additional information: Regulation 32 of PCR 2015 is being applied as in 32. (2) (b) (ii)\nNo contract will be entered into until after a 10 calendar day period from the submission of the VEAT notice date.",
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                        "procurementMethodRationale": "Negotiated procedure without prior publication\n32. (2) (b) (ii) - The works, supplies of services can be provided only by a particular economic operator for the following reason:\no\tCompetition is absent for technical reasons\nExplanation\nKantar UK Ltd's Worldpanel is a longitudinal household panel dataset comprising 30,000 households resident in Great Britain.   Participating households are selected via quota sampling based on region, household size, age of main shopper and occupation and are continuously replenished as they leave the panel.  \nHouseholds scan the barcodes of all grocery products brought into the home.  The resulting dataset provides detailed information on each scanned purchase, including the specific product purchased at the level of stock-keeping unit and the price paid, as well as the sociodemographic characteristics of the households. The University of Sheffield is buying a subset of this data that provides information on alcoholic drinks.  Although The University of Sheffield is buying information on all alcoholic products, our interest for this project is particularly in non-alcoholic and low-alcohol drinks.  \nWe are looking to purchase datasets covering the period 2018-2025. The datasets will be delivered by Kantar UK Ltd to The University of Sheffield as per the following timetable:-\n• The data for 2018-2021 will be supplied in July 2022;\n• The data for 2022-2024 will be supplied in July 2025;\n• The data for 2025 will be supplied in July 2026 \nWhilst there may be another available dataset in the market it only contains 14,500 households (i.e. less than half the sample size).  This difference is important because we know that relatively few people buy non-alcoholic and low-alcohol drinks. This means the alternative data will not provide sufficient statistical power to permit the planned whole population and subgroup analyses. \nFor the avoidance of any doubt Kantar UK Ltd has confirmed that they do not provide the data to any third party for the purpose of re-sale.  \nA single source authorisation form and purchase order   is therefore proposed to formalise the contract for the datasets   provided by Kantar UK Ltd for the following reasons:-\n1)\tThe other available panel only includes data on 14,500 households compared to Kantar World Panel which has data on 30,000 households and therefore provides substantially greater statistical power;\n2)\tDue to the relative infrequency of alcohol purchasing (around once per week on average) the size of panel makes a material difference when looking at household-level purchasing behaviours in this sector;\n3)\tKantar UK Ltd will typically be providing The University of Sheffield with c900K purchase records for each year. A panel half the size will naturally give us significantly less raw data to work with."
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                            "description": "The dataset required comprises information from a longitudinal panel of 30,000 households representative of households resident in Great Britain.  Households scan the barcode of all grocery products brought into the home. Households that leave the dataset panel are continuously replaced by those with similar characteristics.  \nThe purchased data will cover the years 2018 to 2025.  Two sets of disaggregated shopper data (as set out below) are being purchased as follows:-\ni)\tProduct and shopper demographic data for all Take Home purchases of alcohol and no/low alcohol products \nii)\tShopper demographic data for those shoppers not purchasing any alcohol or no/low alcohol products\nDetails of what information/data each datasets will include are as follows:-\nProduct Detail for all Alcohol & No/Low Alcohol Products \nPurchased by the Household Panel - to include:\n- Date of purchase \n- Category \n- Brand \n- Number of packs bought \n- Number in a pack \n- Pack size (ml) \n- Pack Type \n- ABV \n- PromoFlag (details whether/what type pf promotion) \n- Price paid\nDemographics & household information for i) shoppers who purchased Alcohol & No/Low Alcohol Products OR ii) who did not purchase any Alcohol & No/Low Alcohol Products - to include: \n- Household size \n- Age of main shopper \n- Region\n- Social Class \n- Presence of Children \n- Age of youngest child \n- Annual household Income \n- Ethnicity \n- Highest Qualification \n- Tenure \n- Postcode (partial - GDPR prevents otherwise) \n- Lifestage (empty nester, pre family, retired etc) \n- Urban/Rural Dweller \n- Total Council Tax Band \n- Highest qualification \n- Car Ownership \n- Newspaper Additional information: Regulation 32 of PCR 2015 is being applied as in 32. (2) (b) (ii)\nNo contract will be entered into until after a 10 calendar day period from the submission of the VEAT notice date.",
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                    "procurementMethodRationale": "Kantar UK Ltd's Worldpanel is a longitudinal household panel dataset comprising in which 30,000 households resident in Great Britain.   Participating households are selected via quota sampling based on region, household size, age of main shopper and occupation and are continuously replenished as they leave the panel.  \nHouseholds scan the barcodes of all grocery products brought into the home.  This The resulting dataset provides detailed information on each scanned purchase, including the specific product purchased at the level of stock-keeping unit and the price paid, what different households buy, how much they pay for it and how that changes over time, as well as the sociodemographic characteristics of the households.  The dataset is typically used for market research purposes but is increasingly used by public health researchers to understand the purchasing of unhealthy products.  The University of Sheffield is buying a subset of this data that provides information on alcoholic drinks.  Although The University of Sheffield is buying information on all alcoholic products, our interest for this project is particularly in non-alcoholic and low-alcohol drinks.  \nWe are looking to purchase datasets covering the period 2018-2025. The datasets will be delivered by Kantar UK Ltd to The University of Sheffield as per the following timetable:-\n•\tThe data for 2018-2021 will be supplied in July 2022;\n•\tThe data for 2022-2024 will be supplied in July 2025;\n•      The data for 2025 will be supplied in July 2026 \nWhilst there may be another available dataset in the market it only contains 14,500 households (i.e. less than half the sample size).  This difference is important because we know that relatively few people buy non-alcoholic and low-alcohol drinks. This means the alternative data will not provide sufficient statistical power to permit the planned whole population and subgroup analyses. \nFor the avoidance of any doubt Kantar UK Ltd has confirmed that they do not provide the data to any third party for the purpose of re-sale.  \nA single source authorisation form and purchase order   is therefore proposed to formalise the contract for the datasets   provided by Kantar UK Ltd for the following reasons:-\n1)\tThe other available panel only includes data on 14,500 households compared to Kantar World Panel which has data on 30,000 households and therefore provides substantially greater statistical power;\n2)\tDue to the relative infrequency of alcohol purchasing (around once per week on average) the size of panel makes a material difference when looking at household-level purchasing behaviours in this sector;\n3)\tKantar UK Ltd will typically be providing The University of Sheffield with c900K purchase records for each year. A panel half the size will naturally give us significantly less raw data to work with."
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                                "releaseDate": "2022-06-10T10:26:49+01:00",
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                                "value": "Market and economic research; polling and statistics"
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                            "releaseID": "015965-2022",
                            "releaseDate": "2022-06-10T10:26:49+01:00",
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                            "releaseID": "015965-2022",
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                            "value": "The University of Sheffield is looking to contract for the purchase of a longitudinal household panel dataset comprising 30,000 households in Great Britain and containing information on purchases of alcoholic drinks, including non-alcoholic and low-alcohol drinks, that are brought into the home.  \nThe required dataset covers the period 2018 to 2025 and includes information on the sociodemographic characteristics of the households, as well as the products purchased and prices paid. \nThe University of Sheffield will use the dataset to conduct statistical analyses of trends and patterns in purchasing of non-alcoholic and low-alcohol drink purchasing over time, and the relationship of this to purchasing of other alcoholic drinks. \nThis work forms part of a larger programme of research to understand the public health impact of non-alcoholic and low-alcohol drinks in the UK."
                        },
                        {
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                            "releaseDate": "2022-08-10T14:04:59+01:00",
                            "releaseTag": [
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                            "value": "The University of Sheffield is looking to contract for the purchase of a longitudinal household panel dataset comprising 30,000 households in Great Britain and containing information on purchases of alcoholic drinks, including non-alcoholic and low-alcohol drinks, that are brought into the home. \nThe required dataset covers the period 2018 to 2025 and includes information on the sociodemographic characteristics of the households, as well as the products purchased and prices paid. \nThe University of Sheffield will use the dataset to conduct statistical analyses of trends and patterns in purchasing of non-alcoholic and low-alcohol drink purchasing over time, and the relationship of this to purchasing of other alcoholic drinks. This work forms part of a larger programme of research to understand the public health impact of non-alcoholic and low-alcohol drinks in the UK.  \nThis work forms part of a larger programme of research to understand the public health impact of non-alcoholic and low-alcoholic drinks in the UK."
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                                    "releaseTag": [
                                        "award",
                                        "contract"
                                    ],
                                    "value": "The dataset required comprises information from a longitudinal panel of 30,000 households representative of households resident in Great Britain.  Households scan the barcode of all grocery products brought into the home. Households that leave the panel are continuously replaced by those with similar characteristics.  \nThe purchased data will cover the years 2018 to 2025.  Two sets of disaggregated shopper data (as set out below) are being purchased as follows:-\ni)\tProduct and shopper demographic data for all Take Home purchases of alcohol and no/low alcohol products; and\nii)\tShopper demographic data for those shoppers not purchasing any alcohol or no/low alcohol products\nDetails of what information/data each dataset will include are as follows:-\nProduct Detail for all Alcohol & No/Low Alcohol Products Purchased by the Household Panel - to include:\n- Date of purchase \n- Category \n- Brand \n- Number of packs bought \n- Number in a pack \n- Pack size (ml) \n- Pack Type \n- ABV \n- PromoFlag (details whether/what type pf promotion) \n- Price paid\nDemographics & household information for i) shoppers who purchased Alcohol & No/Low Alcohol Products OR ii) who did not purchase any Alcohol & No/Low Alcohol Products - to include: \n- Household size \n- Age of main shopper \n- Region\n- Social Class \n- Presence of Children \n- Age of youngest child \n- Annual household Income \n- Ethnicity \n- Highest Qualification \n- Tenure \n- Postcode (partial - GDPR prevents otherwise) \n- Lifestage (empty nester, pre family, retired etc) \n- Urban/Rural Dweller \n- Total Council Tax Band \n- Highest qualification \n- Car Ownership \n- Newspaper Additional information: Regulation 32 of PCR 2015 is being applied as in 32. (2) (b) (ii)\nNo contract will be entered into until after a 10 calendar day period from the submission of the VEAT notice date."
                                },
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                                    "value": "The dataset required comprises information from a longitudinal panel of 30,000 households representative of households resident in Great Britain.  Households scan the barcode of all grocery products brought into the home. Households that leave the dataset panel are continuously replaced by those with similar characteristics.  \nThe purchased data will cover the years 2018 to 2025.  Two sets of disaggregated shopper data (as set out below) are being purchased as follows:-\ni)\tProduct and shopper demographic data for all Take Home purchases of alcohol and no/low alcohol products \nii)\tShopper demographic data for those shoppers not purchasing any alcohol or no/low alcohol products\nDetails of what information/data each datasets will include are as follows:-\nProduct Detail for all Alcohol & No/Low Alcohol Products \nPurchased by the Household Panel - to include:\n- Date of purchase \n- Category \n- Brand \n- Number of packs bought \n- Number in a pack \n- Pack size (ml) \n- Pack Type \n- ABV \n- PromoFlag (details whether/what type pf promotion) \n- Price paid\nDemographics & household information for i) shoppers who purchased Alcohol & No/Low Alcohol Products OR ii) who did not purchase any Alcohol & No/Low Alcohol Products - to include: \n- Household size \n- Age of main shopper \n- Region\n- Social Class \n- Presence of Children \n- Age of youngest child \n- Annual household Income \n- Ethnicity \n- Highest Qualification \n- Tenure \n- Postcode (partial - GDPR prevents otherwise) \n- Lifestage (empty nester, pre family, retired etc) \n- Urban/Rural Dweller \n- Total Council Tax Band \n- Highest qualification \n- Car Ownership \n- Newspaper Additional information: Regulation 32 of PCR 2015 is being applied as in 32. (2) (b) (ii)\nNo contract will be entered into until after a 10 calendar day period from the submission of the VEAT notice date."
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                                        "releaseDate": "2022-06-10T10:26:49+01:00",
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                                        "value": "The dataset will be provided to the School of Health and Related Research (SCHARR), The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA"
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                            "releaseID": "015965-2022",
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                    "procurementMethodRationale": [
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                            "releaseID": "015965-2022",
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                            "value": "Negotiated procedure without prior publication\n32. (2) (b) (ii) - The works, supplies of services can be provided only by a particular economic operator for the following reason:\no\tCompetition is absent for technical reasons\nExplanation\nKantar UK Ltd's Worldpanel is a longitudinal household panel dataset comprising 30,000 households resident in Great Britain.   Participating households are selected via quota sampling based on region, household size, age of main shopper and occupation and are continuously replenished as they leave the panel.  \nHouseholds scan the barcodes of all grocery products brought into the home.  The resulting dataset provides detailed information on each scanned purchase, including the specific product purchased at the level of stock-keeping unit and the price paid, as well as the sociodemographic characteristics of the households. The University of Sheffield is buying a subset of this data that provides information on alcoholic drinks.  Although The University of Sheffield is buying information on all alcoholic products, our interest for this project is particularly in non-alcoholic and low-alcohol drinks.  \nWe are looking to purchase datasets covering the period 2018-2025. The datasets will be delivered by Kantar UK Ltd to The University of Sheffield as per the following timetable:-\n• The data for 2018-2021 will be supplied in July 2022;\n• The data for 2022-2024 will be supplied in July 2025;\n• The data for 2025 will be supplied in July 2026 \nWhilst there may be another available dataset in the market it only contains 14,500 households (i.e. less than half the sample size).  This difference is important because we know that relatively few people buy non-alcoholic and low-alcohol drinks. This means the alternative data will not provide sufficient statistical power to permit the planned whole population and subgroup analyses. \nFor the avoidance of any doubt Kantar UK Ltd has confirmed that they do not provide the data to any third party for the purpose of re-sale.  \nA single source authorisation form and purchase order   is therefore proposed to formalise the contract for the datasets   provided by Kantar UK Ltd for the following reasons:-\n1)\tThe other available panel only includes data on 14,500 households compared to Kantar World Panel which has data on 30,000 households and therefore provides substantially greater statistical power;\n2)\tDue to the relative infrequency of alcohol purchasing (around once per week on average) the size of panel makes a material difference when looking at household-level purchasing behaviours in this sector;\n3)\tKantar UK Ltd will typically be providing The University of Sheffield with c900K purchase records for each year. A panel half the size will naturally give us significantly less raw data to work with."
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