1、Lessons Learned Entry: 1407Lesson Info:a71 Lesson Number: 1407a71 Lesson Date: 2004-05-07a71 Submitting Organization: LARCa71 Submitted by: Daniel E. Yuchnovicz/NASA Engineering and Safety CenterSubject: Dissimilar Problem Reporting and Corrective Action Databases Complicate Data Mining and Integrat
2、ed Trending Analysis Abstract: Performance of data mining and trending analyses of recurring anomalies in NASA programs are difficult due to numerous and dissimilar Problem Reporting and Corrective Action (PRACA) Databases. These databases exist without a common format, classification system or onto
3、logy. Agency-wide standards and best practices should be established for PRACA data collection and the associated data taxonomy.Description of Driving Event: The NASA Engineering and Safety Center (NESC) was instituted in part to independently analyze recurring anomalies in NASA programs. The primar
4、y sources of anomaly data are the numerous and dissimilar Problem Reporting and Corrective Action (PRACA) databases maintained by each program.Lesson(s) Learned: Challenges have been encountered in performing data mining within the Agency for the following reasons: 1. The Space Shuttle and ISS PRACA
5、 databases exist without a common format, classification system or ontology.2. No single integrated approach to data mining and trending analysis exists.3. No common standard or requirements for the Agency currently exists.Thus, data mining efforts for trending analysis of recurring anomalies have b
6、een problematical and Provided by IHSNot for ResaleNo reproduction or networking permitted without license from IHSprotracted, delaying this risk reduction effort.Recommendation(s): Data collection standards and best practices should be established for Agency programs and projects that require PRACA
7、 systems. Many contracts leave the format, content and taxonomy of PRACA databases to the discretion of the Contractor. A common format and taxonomy would create an environment where common tools could be developed to access these data and facilitate data mining of seemingly disparate but possibly r
8、elated anomalies and trends across Agency programs and projects. Evidence of Recurrence Control Effectiveness: N/ADocuments Related to Lesson: N/AMission Directorate(s): a71 Exploration Systemsa71 Sciencea71 Space Operationsa71 Aeronautics ResearchAdditional Key Phrase(s): a71 Policy & Planninga71 P
9、rogram and Project Managementa71 Risk Management/Assessmenta71 Safety & Mission AssuranceAdditional Info: Provided by IHSNot for ResaleNo reproduction or networking permitted without license from IHSApproval Info: a71 Approval Date: 2004-05-20a71 Approval Name: Leslie Johnsona71 Approval Organization: LARCa71 Approval Phone Number: 757-864-9409Provided by IHSNot for ResaleNo reproduction or networking permitted without license from IHS
