1. A computer-executed method for self-assembling a plurality of individual data analysis tools into a workflow, the method comprising: storing in a data store a plurality of data attributes for defining one or more data objects; storing in the data store a first data object having a first attribute set comprising at least one first data attribute of the plurality of stored data attributes and a value for said at least one first data attribute; storing in the data store a first data analysis tool (DAT), said first DAT associated with at least one first reference data attribute of the plurality of stored data attributes; identifying said first data object based on each at least one first reference data attribute matching one of the at least one first data attribute of the first data attribute set and independent of the value for the at least one first data attribute of the first attribute set; generating by said first DAT a second data object as a function of the identified first data object, wherein said second data object comprises a second attribute set comprising at least one second data attribute of the plurality of stored data attributes, and a value for said at least one second data attribute of the second attribute set; storing the second data object in the data store; storing in the data store a second data analysis tool (DAT), said second DAT associated with at least one second reference data attribute of the plurality of stored data attributes; identifying said second data object based on each at least one second reference data attribute matching one of the at least second first data attribute of the second data attribute set and independent of the value for the at least one second data attribute of the second attribute set; generating by said second DAT a third data object as a function of the identified second data object, wherein said third data object comprises a third data attribute set comprising at least one third data attribute of the plurality of stored data attributes, and a value for said at least one third data attribute of the third attribute set; and storing said third data object in the data store; storing in the data store a plurality of other first data objects, each of the plurality of other first data objects having an attribute set comprising at least one data attribute of the plurality of stored data attributes and a value for said at least one data attribute; identifying said other first data objects based on each at least one first reference data attribute matching one of the at least one data attribute of each data attribute set of the other first data objects and independent of the value for the at least one data attribute of each data attribute set of the other first data objects; and defining a collection of identified first data objects that includes the identified first data object and each of the identified plurality of the other first data objects.