METHOD AND SYSTEM FOR SCORING AUTOMOTIVE DATA

1 . A method of scoring automotive data related to connected vehicles and originated from a plurality of data sources, the method comprising:

obtaining processed automotive data records originated from a plurality of data sources related to a plurality of connected vehicles;

collecting statistic information from said processed automotive data records, based on selected scoring metrics, wherein said statistic information comprise real-time statistical representation of the processed automotive data records in view of the selected scoring metrics; and

applying a grading scheme to the statistic information, to yield a score for at least one of: the data sources, the data records, wherein the grading scheme is tailored per one of a plurality of use cases for automotive data consumption.

2 . The method according to claim 1 , wherein the scoring metrics are metrics determined as affecting benefit of data consumers from the data records and/or the data sources.

3 . The method according to claim 1 , wherein the scoring metrics consist of a list comprising: data integrity; data occurrence; data accuracy; and data freshness.

4 . The method according to claim 3 , wherein the data integrity indicates a validity of values of the data records within an acceptable range.

5 . The method according to claim 3 , wherein the data occurrence indicates a percentage of certain parameter/field occurring within the plurality of data records.

6 . The method according to claim 3 , wherein the data accuracy indicates an error rate of the data record within a normalized unit system.

7 . The method according to claim 3 , wherein the data freshness indicates a level of latency of a data record within a specific timeframe.

8 . The method according to claim 1 , wherein said grading scheme assigns a different weight for same scoring metrics for different one of the automotive data consumption use cases.

9 . The method according to claim 1 , wherein the processed automotive data records comprise raw automotive data records that have been normalized and anonymized.

10 . A system for scoring automotive data related to connected vehicles and originated from a plurality of data sources, the system comprising:

a server comprising a data scoring module implemented over a computer processor and configured to obtain processed automotive data records originated from a plurality of data sources related to a plurality of connected vehicles; and

a plurality of clients connected to said server over a network and associated with a plurality of data consumers,

wherein said data scoring module comprises:

a statistic information collector configured to collect statistic information from said processed automotive data records, based on selected scoring metrics, wherein said statistic information comprise real-time statistical representation of the processed automotive data records in view of the selected scoring metrics; and

a grader configured to apply a grading scheme to the statistic information, to yield a score for at least one of: the data sources, the data records, wherein the grading scheme is tailored per one of a plurality of use cases for automotive data consumption.

11 . The system according to claim 10 , wherein the scoring metrics are metrics determined as affecting benefit of data consumers from the data records and/or the data sources.

12 . The system according to claim 10 , wherein the scoring metrics consist of a list comprising:

data integrity; data occurrence; data accuracy; and data freshness.

13 . The system according to claim 12 , wherein the data integrity indicates a validity of values of the data records within an acceptable range.

14 . The system according to claim 12 , wherein the data occurrence indicates a percentage of certain parameter/field occurring within the plurality of data records.

15 . The system according to claim 12 , wherein the data accuracy indicates an error rate of the data record within a normalized unit system.

16 . The system according to claim 12 , wherein the data freshness indicates a level of latency a data record within a specific timeframe.

17 . The system according to claim 10 , wherein said grading scheme assigns a different weight for same scoring metrics for different one of the automotive data consumption use cases.

18 . The system according to claim 10 , wherein the processed automotive data records originate in raw automotive data records that have been normalized and anonymized.

19 . A non-transitory computer readable medium for scoring automotive data related to connected vehicles and originated from a plurality of data sources, the computer readable medium comprising a set of instructions that when executed cause at least one computer processor to:

obtain processed automotive data records originated from a plurality of data sources related to a plurality of connected vehicles;

collect statistic information from said processed automotive data records, based on selected scoring metrics, wherein said statistic information comprise real-time statistical representation of the processed automotive data records in view of the selected scoring metrics; and

apply a grading scheme to the statistic information, to yield a score for at least one of: the data sources, the data records, wherein the grading scheme is tailored per one of a plurality of use cases for automotive data consumption.

20 . The non-transitory computer readable medium according to claim 19 , wherein the scoring metrics are metrics determined as affecting benefit of data consumers from the data records and/or the data sources.