Information processing apparatus, information processing method for image processing, and storage medium

1. A computer-implemented method for providing one or more collaboration recommendations, the computer-implemented method comprising:

receiving, by a computing system, a first experimental biological dataset, the first experimental biological dataset representing biological information for a first plurality of test subjects, the first experimental biological dataset being associated with a first researcher or first research entity;

determining, by the computing system, one or more correlations between the first experimental biological dataset and a second experimental biological dataset, the second experimental biological dataset representing biological information for a second plurality of test subjects;

identifying one or more research publications associated with the second experimental biological dataset;

determining one or more primary researchers or primary research entities associated with the second experimental biological dataset using information included in the identified one or more research publications;

identifying contact information for the determined one or more primary researchers or primary research entities associated with the second experimental biological dataset; and

providing, (i) by the computing system, (ii) to the first researcher or first research entity, and (iii) in response to determining the one or more correlations between the first experimental biological dataset and the second experimental biological dataset, an identifier of the determined one or more primary researchers or primary research entities associated with the second experimental biological dataset and the identified contact information for the determined one or more primary researchers or primary research entities associated with the second experimental biological dataset.

2. The method of claim 1 , further comprising:

responsive to determining the one or more correlations between the first experimental biological dataset and the second experimental biological dataset, generating a collaboration report that includes information associated with the first researcher or first research entity and information associated with the one or more primary researchers or primary research entities associated with the second experimental biological dataset; and

providing the collaboration report to the first researcher or first research entity and to the one or more primary researchers or primary research entities associated with the second experimental biological dataset.

3. The method of claim 2 , wherein the collaboration report includes keywords associated with a research area of focus for the first experimental biological dataset and keywords associated with a research area of focus for the second experimental biological dataset.

4. The method of claim 2 , wherein the collaboration report includes a list of publications associated with the first researcher or first research entity and a list of publications associated with the one or more primary researchers or primary research entities.

5. The method of claim 2 ,

wherein the first researcher or first research entity comprises the first researcher;

wherein the one or more primary researchers or primary research entities comprises a second researcher; and

wherein the collaboration report includes a list of one or more publications associated with the first researcher and a list of one or more publications associated with the second researcher.

6. The method of claim 5 , wherein the collaboration report includes a link to a professional biography for the first researcher on an external website and a link to a professional biography for the second researcher on an external website.

7. The method of claim 1 , further comprising:

determining, by the computing system, one or more additional correlations between the first experimental biological dataset and each of a plurality of additional experimental biological datasets;

determining a correlation value between the first experimental biological dataset and a second experimental biological dataset;

determining a correlation value between the first experimental biological dataset and each of the plurality of additional experimental biological datasets;

identifying a potential collaborator associated with each of the second experimental biological dataset and the plurality of additional experimental biological datasets; and

generating a list of potential collaborators ranked based on the determined correlation values between the first experimental biological dataset and each of the second experimental biological dataset and the plurality of additional experimental biological datasets.

8. The method of claim 7 , further comprising providing the list of potential collaborators ranked based on the correlation values to the first researcher or first research entity.

9. The method of claim 7 , further comprising:

generating a collaboration graph that is weighted to visually represent the strength of the determined correlation values;

providing the collaboration graph to the first researcher or first research entity.

10. The method of claim 1 , further comprising:

determining a correlation value between the first experimental biological dataset and each of a plurality of additional experimental biological datasets;

dynamically generating, by the computing system, a collaboration graph based on the determined correlation values; and

providing the collaboration graph to the first researcher or first research entity.

11. The method of claim 10 where in the collaboration graph includes an identifier for a researcher or research entity associated with each of the plurality of additional experimental biological datasets.

12. The method of claim 11 , wherein each identifier is visually weighted based on the correlation value determined for the additional experimental biological dataset associated with each identifier.

13. The method of claim 10 , further comprising:

weighting, within the collaboration graph, at least one correlation value between the first experimental biological dataset and one of the plurality of additional experimental biological datasets based on a type of research associated with the first experimental biological dataset and a type of research associated with the one of the plurality of additional experimental biological datasets.

14. A computer-implemented method for providing one or more collaboration recommendations, the computer-implemented method comprising:

receiving, by a computing system, a first experimental biological dataset, the first experimental biological dataset representing biological information for a first plurality of test subjects, the first experimental biological dataset being associated with a first researcher or first research entity;

determining, by the computing system, a correlation value between the first experimental biological dataset and each of a plurality of additional experimental biological datasets, each of the additional experimental biological datasets being associated with an additional researcher or an additional research entity;

weighting, by the computing system, the correlation values between the first experimental biological dataset and each of the plurality of additional experimental biological datasets, wherein each correlation value is weighted based on at least one weighting factor;

ranking the plurality of additional experimental biological datasets based on the weighted correlation values;

providing, according to the ranking, a collaboration recommendation to the first researcher or first research entity that includes identifiers for the additional researcher or the additional research entity associated with each of at least a subset of the plurality of additional experimental biological datasets.

15. The method of claim 14 , wherein the collaboration recommendation includes a collaboration graph that is weighted to visually represent the strength of the weighted correlation values.

16. The method of claim 14 , wherein the at least one weighting factor comprises a type of research being pursued by the additional researcher or additional research entity.

17. The method of claim 14 , wherein the at least one weighting factor comprises a pre-existing relationship between the first researcher or first research entity and the additional researcher or additional research entity.

18. The method of claim 14 , wherein the at least one weighting factor comprises known or potential conflicts of interest between the first researcher or first research entity and the additional researcher or additional research entity.

19. The method of claim 14 , wherein the at least one weighting factor comprises the types and availability of funding opportunities currently available.

20. A system for one or more collaboration recommendations, comprising:

one or more processors;

memory storing instructions that, when executed by the one or more processors, cause the system to perform the operations of:

receiving, by a computing system, a first experimental biological dataset, the first experimental biological dataset representing biological information for a first plurality of test subjects, the first experimental biological dataset being associated with a first researcher or first research entity;

determining, by the computing system, one or more correlations between the first experimental biological dataset and a second experimental biological dataset, the second experimental biological dataset representing biological information for a second plurality of test subjects;

identifying one or more research publications associated with the second experimental biological dataset;

determining one or more primary researchers or primary research entities associated with the second experimental biological dataset using information included in the identified one or more research publications;

identifying contact information for the determined one or more primary researchers or primary research entities associated with the second experimental biological dataset; and

providing, (i) by the computing system, (ii) to the first researcher or first research entity, and (iii) in response to determining the one or more correlations between the first experimental biological dataset and the second experimental biological dataset, an identifier of the determined one or more primary researchers or primary research entities associated with the second experimental biological dataset and the identified contact information for the determined one or more primary researchers or primary research entities associated with the second experimental biological dataset.