Methods, systems and computer program products for dynamic scheduling and matrix collecting of data about samples

• US 20010056485A1
• Filed: 03/27/2001
• Published: 12/27/2001
• Est. Priority Date: 03/28/2000
• Status: Active Grant

• Current Assignee: Icoria, Inc. (Abbvie Incorporated)
• Original Assignee: Icoria, Inc. (Abbvie Incorporated)
• Inventors: DeHaven, Corey D., Barrett, Thomas H. Jr.
• Granted Patent: US 7,356,417 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance

Abstract

Data is collected about samples that possess characteristics that change over time and that are contained in an array of containers that are arranged in a container spatial relationship. A matrix of cells is displayed in a cell spatial relationship that corresponds to the container spatial relationship. User input is accepted into at least one of the cells of the matrix that is displayed, to input at least one value of at least one of the characteristics that change over time for at least one of the samples that correspond to the at least one of the cells in the matrix that is displayed. The matrix user interface can allow a user to enter a large number of data points per minute, compared to conventional systems in which a user may need to swipe a bar code, enter an indicia or enter a row/column position for a sample prior to entering data. Data collection of characteristics of samples also can be scheduled, by storing past values of the characteristics of the samples that were data collected during at least one past time interval in a database, and also storing rules in a rule base. The rules determine whether a characteristic of a sample is to be data collected and, if so, identify the characteristic which is to be data collected, based on the past values of characteristics of samples. The rules are applied to the past values that are stored in the database, to identify target samples to be data collected, and to identify at least one target characteristic to be data collected for the target samples that are identified.

Claims

1. A method of collecting data about a plurality of samples that possess characteristics that change over time, the samples being contained in an array of containers that are arranged in a container spatial relationship, the method comprising:

displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship; and

accepting user input into at least one of the cells of the matrix that is displayed, of at least one value of at least one of the characteristics that change over time for at least one of the samples that corresponds to the at least one of the cells in the matrix that is displayed.

2. A method according to

claim 1

wherein the accepting is followed by:

storing in a database, the at least one value of the at least one of the characteristics that change over time for the at least one of the samples.

3. A method according to

claim 1

wherein the array of containers includes a plurality of rows and columns of containers in a container spatial relationship and wherein the matrix of cells includes a corresponding plurality of rows and columns of cells in a cell spatial relationship that corresponds to the container spatial relationship.

4. A method according to

claim 1

wherein the plurality of samples are contained in a plurality of arrays of containers and wherein the displaying is preceded by:

accepting user selection of an array of containers from the plurality of arrays of containers.

5. A method according to

claim 1

wherein the displaying is preceded by:

accepting user selection of a characteristic from the characteristics that change over time; and

wherein the displaying comprises displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship and that includes data entry parameters for the characteristic that was selected.

6. A method according to

claim 5

wherein the data entry parameters comprise at least one of a yes/no selection, a data entry box and a pull down menu of selection options.

7. A method according to

claim 5

wherein the accepting user selection of a characteristic is followed by displaying user instructions for obtaining a value of the characteristic that was selected.

8. A method according to

claim 1

:

wherein the accepting user input comprises accepting user input of a default value of the at least one of the characteristics for the cells of the matrix that is displayed, and accepting user input into at least one of the cells of the matrix that is displayed, of at least one value that is different from the default value.

9. A method according to

claim 2

:

wherein the accepting user input comprises accepting user input of a default value of the at least one of the characteristics for the cells of the matrix that is displayed, and accepting user input into at least one of the cells of the matrix that is displayed of at least one value that is different from the default value; and

wherein the storing comprises storing in the database, the default value for the cells of the matrix except for the at least one of the cells in which the at least one value that is different from the default value was accepted, and storing in the database, the at least one value for the at least one of the cells.

10. A method according to

claim 2

wherein the following is performed between the accepting and the storing:

accepting user input into at least one of the cells of the matrix that is displayed, of at least one corrected value of at least one of the characteristics that change over time for at least one of the samples that corresponds to the at least one of the cells in the matrix that is displayed.

11. A method according to

claim 1

wherein the displaying and accepting are repeatedly performed to collect data for a plurality of matrices of cells that correspond to a plurality of arrays of containers.

12. A method according to

claim 1

wherein the displaying and accepting are repeatedly performed to collect data for a plurality of the characteristics that change over time.

13. A method according to

claim 1

wherein the displaying and accepting are repeatedly performed to collect data over a plurality of sequential time intervals.

14. A method according to

claim 1

wherein the displaying is preceded by:

storing in a database, a plurality of past values of the characteristics of the plurality of samples that were data collected during at least one past time interval;

storing in a rule base, a plurality of rules that determine whether a characteristic of a sample is to be data collected and, if so, that identify the characteristic which is to be data collected, based on values of characteristics of samples;

applying the plurality of rules to the plurality of past values that are stored in the rule base to identify target samples to be data collected from the plurality of samples and to identify at least one target characteristic to be data collected for the target samples that are identified; and

wherein the displaying comprises displaying the matrix of cells for the at least one target characteristic to be data collected in the target samples to be data collected.

15. A method according to

claim 14

wherein the displaying is followed by:

accepting user input of at least one value of the at least one target characteristic to be data collected in the target samples to be data collected; and

storing in the database, the at least one target value of the at least one target characteristic to be data collected in the target samples to be data collected.

16. A method according to

claim 15

wherein the applying, displaying, accepting and storing the at least one value are repeatedly performed in sequence during a plurality of time intervals.

17. A method according to

claim 14

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples having a value of the characteristic during a past time interval.

18. A method according to

claim 14

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples having a value of a second characteristic during a past time interval.

19. A method according to

claim 14

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples failing to have the characteristic during a past time interval.

20. A method according to

claim 14

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples failing to have a second characteristic during a past time interval.

21. A method of scheduling data collection of characteristics of a plurality of samples, wherein values of the characteristics change over time, the method comprising:

storing in a database, a plurality of past values of the characteristics of the plurality of samples that were data collected during at least one past time interval;

storing in a rule base, a plurality of rules that determine whether a characteristic of a sample is to be data collected and, if so, that identify the characteristic which is to be data collected, based on values of characteristics of samples;

applying the plurality of rules to the plurality of past values that are stored in the rule base to identify target samples to be data collected from the plurality of samples and to identify at least one target characteristic to be data collected for the target samples that are identified; and

generating user instructions to collect data for the at least one target characteristic to be data collected in the target samples to be data collected.

22. A method according to

claim 21

wherein the generating is followed by:

accepting user input of at least one value of the at least one target characteristic to be data collected in the target samples to be data collected; and

storing in the database, the at least one target value of the at least one target characteristic to be data collected in the target samples to be data collected.

23. A method according to

claim 22

wherein the applying, generating, accepting and storing the at least one value are repeatedly performed in sequence during a plurality of time intervals.

24. A method according to

claim 21

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples having a value of the characteristic during a past time interval.

25. A method according to

claim 21

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples having a value of a second characteristic during a past time interval.

26. A method according to

claim 21

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples failing to have the characteristic during a past time interval.

27. A method according to

claim 21

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples failing to have a second characteristic during a past time interval.

28. A method according to

claim 21

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples in the array that includes the sample having a value of the characteristic during a past time interval.

29. A method according to

claim 21

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples in the array that includes the sample having a value of a second characteristic during a past time interval.

30. A method according to

claim 21

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples in the array that includes the sample failing to have the characteristic during a past time interval.

31. A method according to

claim 21

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples in the array that includes the sample failing to have a second characteristic during a past time interval.

32. A method according to

claim 21

wherein the plurality of samples are contained in an array of containers that are arranged in a container spatial relationship, and wherein the generating comprises:

displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship; and

accepting user input into at least one of the cells of the matrix that is displayed, of at least one value of at least one of the target characteristic to be data collected for at least one of the target samples to be data collected that corresponds to the at least one of the cells in the matrix that is displayed.

33. A method according to

claim 32

wherein the plurality of samples are contained in a plurality of arrays of containers and wherein the displaying is preceded by:

accepting user selection of an array of containers from the plurality of arrays of containers.

34. A method according to

claim 32

wherein the displaying is preceded by:

accepting user selection of a target characteristic from the characteristics that change over time; and

wherein the displaying comprises displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship and that includes data entry parameters for the target characteristic that was selected.

35. A method according to

claim 32

:

wherein the accepting user input comprises accepting user input of a default value of the at least one of the target characteristics for the cells of the matrix that is displayed, and accepting user input into at least one of the cells of the matrix that is displayed, of at least one value that is different from the default value.

36. A method according to

claim 32

wherein the following is performed between the accepting and the storing:

accepting user input into at least one of the cells of the matrix that is displayed, of at least one corrected value of at least one of the target characteristics for at least one of the target samples to be data collected that corresponds to the at least one of the cells in the matrix that is displayed.

37. A system for collecting data about a plurality of samples that possess characteristics that change over time, the samples being contained in an array of containers that are arranged in a container spatial relationship, the system comprising:

means for displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship; and

means for accepting user input into at least one of the cells of the matrix that is displayed, of at least one value of at least one of the characteristics that change over time for at least one of the samples that corresponds to the at least one of the cells in the matrix that is displayed.

38. A system according to

claim 37

further comprising:

means for storing in a database, the at least one value of the at least one of the characteristics that change over time for the at least one of the samples.

39. A system according to

claim 37

wherein the array of containers includes a plurality of rows and columns of containers in a container spatial relationship and wherein the matrix of cells includes a corresponding plurality of rows and columns of cells in a cell spatial relationship that corresponds to the container spatial relationship.

40. A system according to

claim 37

wherein the plurality of samples are contained in a plurality of arrays of containers and wherein the system further comprises:

means for accepting user selection of an array of containers from the plurality of arrays of containers.

41. A system according to

claim 37

further comprising:

means for accepting user selection of a characteristic from the characteristics that change over time; and

wherein the means for displaying comprises means for displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship and that includes data entry parameters for the characteristic that was selected.

42. A system according to

claim 41

wherein the data entry parameters comprise at least one of a yes/no selection, a data entry box and a pull down menu of selection options.

43. A system according to

claim 41

further comprising means for displaying user instructions for obtaining a value of the characteristic that was selected.

44. A system according to

claim 37

:

wherein the means for accepting user input comprises means for accepting user input of a default value of the at least one of the characteristics for the cells of the matrix that is displayed, and means for accepting user input into at least one of the cells of the matrix that is displayed, of at least one value that is different from the default value.

45. A system according to

claim 38

:

wherein the means for accepting user input comprises means for accepting user input of a default value of the at least one of the characteristics for the cells of the matrix that is displayed, and means for accepting user input into at least one of the cells of the matrix that is displayed of at least one value that is different from the default value; and

wherein the means for storing comprises means for storing in the database, the default value for the cells of the matrix except for the at least one of the cells in which the at least one value that is different from the default value was accepted, and means for storing in the database, the at least one value for the at least one of the cells.

46. A system according to

claim 38

further comprising:

means for accepting user input into at least one of the cells of the matrix that is displayed, of at least one corrected value of at least one of the characteristics that change over time for at least one of the samples that corresponds to the at least one of the cells in the matrix that is displayed.

47. A system according to

claim 37

wherein the means for displaying and the means for accepting are repeatedly activated to collect data for a plurality of matrices of cells that correspond to a plurality of arrays of containers.

48. A system according to

claim 37

wherein the means for displaying and the means for accepting are repeatedly activated to collect data for a plurality of the characteristics that change over time.

49. A system according to

claim 37

wherein the means for displaying and the means for accepting are repeatedly activated to collect data over a plurality of sequential time intervals.

50. A system according to

claim 39

further comprising:

means for storing in a database, a plurality of past values of the characteristics of the plurality of samples that were data collected during at least one past time interval;

means for storing in a rule base, a plurality of rules that determine whether a characteristic of a sample is to be data collected and, if so, that identify the characteristic which is to be data collected, based on values of characteristics of samples;

means for applying the plurality of rules to the plurality of past values that are stored in the rule base to identify target samples to be data collected from the plurality of samples and to identify at least one target characteristic to be data collected for the target samples that are identified; and

wherein the means for displaying comprises means for displaying the matrix of cells for the at least one target characteristic to be data collected in the target samples to be data collected.

51. A system according to

claim 50

further comprising:

means for accepting user input of at least one value of the at least one target characteristic to be data collected in the target samples to be data collected; and

means for storing in the database, the at least one target value of the at least one target characteristic to be data collected in the target samples to be data collected.

52. A system according to

claim 51

wherein the means for applying, the means for displaying, the means for accepting and the means for storing the at least one value are repeatedly activated in sequence during a plurality of time intervals.

53. A system according to

claim 50

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples having a value of the characteristic during a past time interval.

54. A system according to

claim 50

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples having a value of a second characteristic during a past time interval.

55. A system according to

claim 50

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples failing to have the characteristic during a past time interval.

56. A system according to

claim 50

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples failing to have a second characteristic during a past time interval.

57. A system for scheduling data collection of characteristics of a plurality of samples, wherein values of the characteristics change over time, the system comprising:

means for storing in a database, a plurality of past values of the characteristics of the plurality of samples that were data collected during at least one past time interval;

means for storing in a rule base, a plurality of rules that determine whether a characteristic of a sample is to be data collected and, if so, that identify the characteristic which is to be data collected, based on values of characteristics of samples;

means for applying the plurality of rules to the plurality of past values that are stored in the rule base to identify target samples to be data collected from the plurality of samples and to identify at least one target characteristic to be data collected for the target samples that are identified; and

means for generating user instructions to collect data for the at least one target characteristic to be data collected in the target samples to be data collected.

58. A system according to

claim 57

further comprising:

means for accepting user input of at least one value of the at least one target characteristic to be data collected in the target samples to be data collected; and

means for storing in the database, the at least one target value of the at least one target characteristic to be data collected in the target samples to be data collected.

59. A system according to

claim 58

wherein the means for applying, the means for generating, the means for accepting and the means for storing the at least one value are repeatedly activated in sequence during a plurality of time intervals.

60. A system according to

claim 57

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples having a value of the characteristic during a past time interval.

61. A system according to

claim 57

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples having a value of a second characteristic during a past time interval.

62. A system according to

claim 57

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples failing to have the characteristic during a past time interval.

63. A system according to

claim 57

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples failing to have a second characteristic during a past time interval.

64. A system according to

claim 57

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples in the array that includes the sample having a value of the characteristic during a past time interval.

65. A system according to

claim 57

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples in the array that includes the sample having a value of a second characteristic during a past time interval.

66. A system according to

claim 57

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples in the array that includes the sample failing to have the characteristic during a past time interval.

67. A system according to

claim 57

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples in the array that includes the sample failing to have a second characteristic during a past time interval.

68. A system according to

claim 57

wherein the plurality of samples are contained in an array of containers that are arranged in a container spatial relationship, and wherein the means for generating comprises:

means for displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship; and

means for accepting user input into at least one of the cells of the matrix that is displayed, of at least one value of at least one of the target characteristic to be data collected for at least one of the target samples to be data collected that corresponds to the at least one of the cells in the matrix that is displayed.

69. A system according to

claim 68

wherein the plurality of samples are contained in a plurality of arrays of containers and wherein the system further comprises:

means for accepting user selection of an array of containers from the plurality of arrays of containers.

70. A system according to

claim 68

further comprising:

means for accepting user selection of a target characteristic from the characteristics that change over time; and

wherein the means for displaying comprises means for displaying a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship and that includes data entry parameters for the target characteristic that was selected.

71. A system according to

claim 68

:

wherein the means for accepting user input comprises means for accepting user input of a default value of the at least one of the target characteristics for the cells of the matrix that is displayed, and means for accepting user input into at least one of the cells of the matrix that is displayed, of at least one value that is different from the default value.

72. A system according to

claim 68

further comprising:

means for accepting user input into at least one of the cells of the matrix that is displayed, of at least one corrected value of at least one of the target characteristics for at least one of the target samples to be data collected that corresponds to the at least one of the cells in the matrix that is displayed.

73. A computer program product that collects data about a plurality of samples that possess characteristics that change over time, the samples being contained in an array of containers that are arranged in a container spatial relationship, the computer program product comprising a computer usable storage medium having computer-readable program code embodied in the medium, the computer-readable program code comprising:

computer-readable program code that is configured to display a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship; and

computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed, of at least one value of at least one of the characteristics that change over time for at least one of the samples that corresponds to the at least one of the cells in the matrix that is displayed.

74. A computer program product according to

claim 73

further comprising:

computer-readable program code that is configured to store in a database, the at least one value of the at least one of the characteristics that change over time for the at least one of the samples.

75. A computer program product according to

claim 73

wherein the array of containers includes a plurality of rows and columns of containers in a container spatial relationship and wherein the matrix of cells includes a corresponding plurality of rows and columns of cells in a cell spatial relationship that corresponds to the container spatial relationship.

76. A computer program product according to

claim 73

wherein the plurality of samples are contained in a plurality of arrays of containers and wherein the computer program product further comprises:

computer-readable program code that is configured to accept user selection of an array of containers from the plurality of arrays of containers.

77. A computer program product according to

claim 73

further comprising:

computer-readable program code that is configured to accept user selection of a characteristic from the characteristics that change over time; and

wherein the computer-readable program code that is configured to display comprises computer-readable program code that is configured to display a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship and that includes data entry parameters for the characteristic that was selected.

78. A computer program product according to

claim 77

wherein the data entry parameters comprise at least one of a yes/no selection, a data entry box and a pull down menu of selection options.

79. A computer program product according to

claim 77

further comprising:

computer-readable program code that is configured to display user instructions for obtaining a value of the characteristic that was selected.

80. A computer program according to

claim 73

:

wherein the computer-readable program code that is configured to accept user input comprises computer-readable program code that is configured to accept user input of a default value of the at least one of the characteristics for the cells of the matrix that is displayed, and computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed, of at least one value that is different from the default value.

81. A computer program product according to

claim 74

:

wherein the computer-readable program code that is configured to accept user input comprises computer-readable program code that is configured to accept user input of a default value of the at least one of the characteristics for the cells of the matrix that is displayed, and computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed of at least one value that is different from the default value; and

wherein the computer-readable program code that is configured to store comprises computer-readable program code that is configured to store in the database, the default value for the cells of the matrix except for the at least one of the cells in which the at least one value that is different from the default value was accepted, and computer-readable program code that is configured to store in the database, the at least one value for the at least one of the cells.

82. A computer program product according to

claim 74

further comprising:

computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed, of at least one corrected value of at least one of the characteristics that change over time for at least one of the samples that corresponds to the at least one of the cells in the matrix that is displayed.

83. A computer program product according to

claim 73

wherein the computer-readable program code that is configured to display and computer-readable program code that is configured to accept are repeatedly activated to collect data for a plurality of matrices of cells that correspond to a plurality of arrays of containers.

84. A computer program product according to

claim 73

wherein the computer-readable program code that is configured to display and the computer-readable program code that is configured to accept are repeatedly activated to collect data for a plurality of the characteristics that change over time.

85. A computer program product according to

claim 73

wherein the computer-readable program code that is configured to display and the computer-readable program code that is configured to accept are repeatedly activated to collect data over a plurality of sequential time intervals.

86. A computer program product according to

claim 73

further comprising:

computer-readable program code that is configured to store in a database, a plurality of past values of the characteristics of the plurality of samples that were data collected during at least one past time interval;

computer-readable program code that is configured to store in a rule base, a plurality of rules that determine whether a characteristic of a sample is to be data collected and, if so, that identify the characteristic which is to be data collected, based on values of characteristics of samples;

computer-readable program code that is configured to apply the plurality of rules to the plurality of past values that are stored in the rule base to identify target samples to be data collected from the plurality of samples and to identify at least one target characteristic to be data collected for the target samples that are identified; and

wherein the computer-readable program code that is configured to display comprises computer-readable program code that is configured to display the matrix of cells for the at least one target characteristic to be data collected in the target samples to be data collected.

87. A computer program product according to

claim 86

further comprising:

computer-readable program code that is configured to accept user input of at least one value of the at least one target characteristic to be data collected in the target samples to be data collected; and

computer-readable program code that is configured to store in the database, the at least one target value of the at least one target characteristic to be data collected in the target samples to be data collected.

88. A computer program product according to

claim 87

wherein the computer-readable program code that is configured to apply, the computer-readable program code that is configured to display, the computer-readable program code that is configured to accept and the computer-readable program code that is configured to store the at least one value are repeatedly activated in sequence during a plurality of time intervals.

89. A computer program product according to

claim 86

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples having a value of the characteristic during a past time interval.

90. A computer program product according to

claim 86

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples having a value of a second characteristic during a past time interval.

91. A computer program product according to

claim 86

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples failing to have the characteristic during a past time interval.

92. A computer program product according to

claim 86

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples failing to have a second characteristic during a past time interval.

93. A computer program product that schedules data collection of characteristics of a plurality of samples, wherein values of the characteristics change over time, the computer program product comprising a computer usable storage medium having computer-readable program code embodied in the medium, the computer-readable program code comprising:

computer-readable program code that is configured to store in a database, a plurality of past values of the characteristics of the plurality of samples that were data collected during at least one past time interval;

computer-readable program code that is configured to store in a rule base, a plurality of rules that determine whether a characteristic of a sample is to be data collected and, if so, that identify the characteristic which is to be data collected, based on values of characteristics of samples;

computer-readable program code that is configured to apply the plurality of rules to the plurality of past values that are stored in the rule base to identify target samples to be data collected from the plurality of samples and to identify at least one target characteristic to be data collected for the target samples that are identified; and

computer-readable program code that is configured to generate user instructions to collect data for the at least one target characteristic to be data collected in the target samples to be data collected.

94. A computer program product according to

claim 93

further comprising:

computer-readable program code that is configured to accept user input of at least one value of the at least one target characteristic to be data collected in the target samples to be data collected; and

computer-readable program code that is configured to store in the database, the at least one target value of the at least one target characteristic to be data collected in the target samples to be data collected.

95. A computer program product according to

claim 94

wherein the computer-readable program code that is configured to apply, the computer-readable program code that is configured to generate, the computer-readable program code that is configured to accept and the computer-readable program code that is configured to store the at least one value are repeatedly activated in sequence during a plurality of time intervals.

96. A computer program product according to

claim 93

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples having a value of the characteristic during a past time interval.

97. A computer program product according to

claim 93

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples having a value of a second characteristic during a past time interval.

98. A computer program product according to

claim 93

wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples failing to have the characteristic during a past time interval.

99. A computer program product according to

claim 93

wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples failing to have a second characteristic during a past time interval.

100. A computer program product according to

claim 93

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples in the array that includes the sample having a value of the characteristic during a past time interval.

101. A computer program product according to

claim 93

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples in the array that includes the sample having a value of a second characteristic during a past time interval.

102. A computer program product according to

claim 93

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a characteristic in a sample based on a percentage of the samples in the array that includes the sample failing to have the characteristic during a past time interval.

103. A computer program product according to

claim 93

wherein the plurality of samples are contained in a plurality of arrays of samples, and wherein the plurality of rules include a rule that begins or terminates data collection of a first characteristic in a sample based on a percentage of the samples in the array that includes the sample failing to have a second characteristic during a past time interval.

104. A computer program product according to

claim 93

wherein the plurality of samples are contained in an array of containers that are arranged in a container spatial relationship, and wherein the computer-readable program code that is configured to generate comprises:

computer-readable program code that is configured to display a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship; and

computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed, of at least one value of at least one of the target characteristic to be data collected for at least one of the target samples to be data collected that corresponds to the at least one of the cells in the matrix that is displayed.

105. A computer program product according to

claim 104

wherein the plurality of samples are contained in a plurality of arrays of containers and wherein the computer program product further comprises:

computer-readable program code that is configured to accept user selection of an array of containers from the plurality of arrays of containers.

106. A computer program product according to

claim 104

further comprising:

computer-readable program code that is configured to accept user selection of a target characteristic from the characteristics that change over time; and

wherein the computer-readable program code that is configured to display comprises computer-readable program code that is configured to display a matrix of cells in a cell spatial relationship that corresponds to the container spatial relationship and that includes data entry parameters for the target characteristic that was selected.

107. A computer program product according to

claim 104

:

wherein the computer-readable program code that is configured to accept user input comprises computer-readable program code that is configured to accept user input of a default value of the at least one of the target characteristics for the cells of the matrix that is displayed, and computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed, of at least one value that is different from the default value.

108. A computer program product according to

claim 104

further comprising:

computer-readable program code that is configured to accept user input into at least one of the cells of the matrix that is displayed, of at least one corrected value of at least one of the target characteristics for at least one of the target samples to be data collected that corresponds to the at least one of the cells in the matrix that is displayed.