Methods and Systems for Analyzing Public Data

• US 20140282912A1
• Filed: 03/14/2014
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Abandoned Application

• Current Assignee: Public Insight Corp.
• Original Assignee: Public Insight Corp.
• Inventors: Quigg, Daniel, Forsyth, Andrew
• Application Number:
  US14/211,022
• Publication Number:
  US 20140282912A1
• Time in Patent Office: Days
• US Class Current: 726/4
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database

Abstract

Methods, systems and non-transitory computer-readable media comprising executable instructions are provided for analyzing public data. Public data is formatted according to a first taxonomy and stored in a public data store, and user data is formatted according to a second taxonomy and stored in a user data store. Permissions are established for a user to selectively access public and private data stored in the respective data stores. The first and second taxonomies may have a common key that can be used to analyze public and private data, and public and private data may be analyzed based on criteria within a public data analytics system, criteria defined by a user, and using calculated metrics.

Claims

1. A method performed using a computer-implemented public data analytics system comprising:

formatting, by the public data analytics system, public data according to a first taxonomy and storing the formatted public data in a public data store;

formatting, by the public data analytics system, user data according to a second taxonomy and storing the formatted user data in a user data store;

establishing, by the public data analytics system, permissions for a first user to selectively access public data stored in the public data store and user data stored in the user data store; and

selectively allowing, by the public data analytics system, the first user to access public data stored in the public data store and user data stored in the user data store based on permissions established for said user.

2. The method of claim 1, wherein the first taxonomy and the second taxonomy share at least one common key.

3. The method of claim 1, wherein the first taxonomy or the second taxonomy comprises a data dictionary that defines a hierarchical n-tier data structure.

4. The method of claim 1, wherein the second taxonomy is defined by the first user or a second user.

5. The method of claim 4, further comprising establishing permissions for another user to selectively access the second taxonomy and selectively allowing said user to access said second taxonomy.

6. The method of claim 1, further comprising analyzing public data and user data accessed by the first user, wherein said public data and user data have a key that is common to the first taxonomy and the second taxonomy.

7. The method of claim 6, wherein the public data and user data are analyzed based on one or more pre-defined criteria within the public data analytics system.

8. The method of claim 6, wherein the public data and user data are analyzed based on one or more criteria defined by the first user.

9. The method of claim 6, wherein the public data and user data are analyzed using a calculated metric.

10. A public data analytics system for analyzing public and user data, the system comprising:

a public data store for storing public data formatted according to a first taxonomy;

a user data store for storing user data formatted according to a second taxonomy; and

a user access module in communication with the public data store and the user data store,

wherein the user access module permits a first user to selectively access public data stored in the public data store and user data stored in the user data store based on permissions established for said first user.

11. The public data analytics system of claim 10, further comprising at least one of a public data set import module, a public data set formatting module, a taxonomy database, a user data set import module, and a user data set formatting module.

12. The public data analytics system of claim 10, wherein the first taxonomy and the second taxonomy share at least one common key.

13. The public data analytics system of claim 10, wherein the first taxonomy or the second taxonomy comprises a data dictionary that defines a hierarchical n-tier data structure.

14. The public data analytics system of claim 10, wherein the second taxonomy is defined by the first user or a second user.

15. The public data analytics system of claim 10, further comprising a data analytics engine for analyzing public data and user data accessed by the first user, wherein said public data and user data have a key that is common to the first taxonomy and the second taxonomy.

16. The public data analytics system of claim 15, wherein the public data and user data are analyzed using the data analytics engine based on one or more pre-defined criteria within the public data analytics system.

17. The public data analytics system of claim 15, wherein the public data and user data are analyzed using the data analytics engine based on one or more criteria defined by the first user.

18. The public data analytics system of claim 15, wherein the public data and user data are analyzed using the data analytics engine using a calculated metric.

19. A non-transitory computer-readable medium comprising computer-executable instructions that when executed by a computer perform a method comprising:

formatting public data according to a first taxonomy and storing the formatted public data in a public data store;

formatting user data according to a second taxonomy and storing the formatted user data in a machine-readable format in a user data store;

establishing permissions for a first user to selectively access public data stored in the public data store and user data stored in the user data store; and

selectively allowing the first user to access public data stored in the public data store and user data stored in the user data store based on permissions established for said user.

20. The non-transitory computer-readable medium comprising computer-executable instructions of claim 19, the method further comprising analyzing public data and user data accessed by the first user, wherein said public data and user data have a key that is common to the first taxonomy and the second taxonomy.