Data produced by businesses 22 1 Business Registers (to match enterprises) Commercial transactions Commercial transactions 2210 4 Scanner data (partnership agreement) Scanner data for CPI Scanner data Home automation 3111 1 Smart-meter data Mobile sensors (tracking) - Person (Mobile location) 3121 2 Mobile phone data Call detail records Mobile sensors (tracking) - Road (Car, Trucks) road sensors 3122 3 Traffic sensor data; to be taken to the production in planning: traffic data for road freight statistics Mobile sensors (tracking) - Nautical (Ships) 3125 2 AIS data AIS (from public agency) If in Q16 respondents marked in Q19 they were to specify rate the quality of BD “yes”, sources used in their office. In the area of Clarity, BD sources were assessed very low (probably because of the data from websites). It is important to precise all definitions and metadata that are related to acquired data. In other areas the data quality assessment is on medium level, apart from Timeliness and frequency which is on high level. 7. Q19: If yes q 16, rate the quality of Big Data sources used in your office: Low Medium High Response Answer options Low Medium High % % % count Complexity -refers to the lack of 2 8 1 11 18 73 9 simplicity and uniformity in the data Completeness - the extent to which metadata are available for a proper understanding and use of data. It refers to the exhaustiveness of the descriptions 3 7 0 10 30 70 0 available for the input data (i.e. covering all the required aspects mentioned in the hyper-dimensions Source and Data as well as the level of detail of descriptions Usability - is the extent to which the NSO will be able to work with and use the data without the employment of specialized resources or place significant burden on 4 7 0 11 36 64 0 existing resources; and the ease with which it can be integrated with existing systems and standards Timeliness and frequency 0 3 7 10 0 30 70 Accuracy - is the degree to which the information correctly describes the 3 6 1 10 30 60 10 phenomena it was designed to measure Coherence - is the extent to which the dataset follows standard conventions, is 3 5 1 9 33 56 11 internally consistent, is consistent over
22 Data produced by businesses Business Registers (to match enterprises) 1 2210 Commercial transactions Commercial transactions Scanner data (partnership agreement) Scanner data for CPI Scanner data 4 3111 Home automation Smart-meter data 1 3121 Mobile sensors (tracking) - Person (Mobile location) Mobile phone data Call detail records 2 3122 Mobile sensors (tracking) - Road (Car, Trucks) road sensors Traffic sensor data; to be taken to the production in planning: traffic data for road freight statistics 3 3125 Mobile sensors (tracking) - Nautical (Ships) AIS data AIS (from public agency) 2 If in Q16 respondents marked “yes”, in Q19 they were to specify rate the quality of BD sources used in their office. In the area of Clarity, BD sources were assessed very low (probably because of the data from websites). It is important to precise all definitions and metadata that are related to acquired data. In other areas the data quality assessment is on medium level, apart from Timeliness and frequency which is on high level. 7. Q19: If yes q 16, rate the quality of Big Data sources used in your office: Answer options Low Low % Medium Medium % High High % Response count Complexity -refers to the lack of simplicity and uniformity in the data 2 18 8 73 1 9 11 Completeness - the extent to which metadata are available for a proper understanding and use of data. It refers to the exhaustiveness of the descriptions available for the input data (i.e. covering all the required aspects mentioned in the hyper-dimensions Source and Data as well as the level of detail of descriptions 3 30 7 70 0 0 10 Usability - is the extent to which the NSO will be able to work with and use the data without the employment of specialized resources or place significant burden on existing resources; and the ease with which it can be integrated with existing systems and standards 4 36 7 64 0 0 11 Timeliness and frequency 0 0 3 30 7 70 10 Accuracy - is the degree to which the information correctly describes the phenomena it was designed to measure 3 30 6 60 1 10 10 Coherence - is the extent to which the dataset follows standard conventions, is internally consistent, is consistent over 3 33 5 56 1 11 9
WP7_Milestone_7_5.docx