PSAM 16 - Paper Overview

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Lead Author: Anthony Diventi Co-author(s): Matt Forsbacka, Matthew.j.Forsbacka@nasa.gov Nancy Lindsey, Nancy.j.Lindsey@nasa.gov Steven Cornford, Steven.l.Cornford@jpl.nasa.gov Martin Feather, Martin.s.Feather@jpl.nasa.gov

Transformative benefits emerging from NASA OSMA's evolving Data-Centric and Model-Based Policy framework
The evolution from “document-centric” to “data-centric” information leveraging structured data and model-based approaches is at the heart of digital engineering transformational efforts underway across industry and government. It is these approaches that pave the way for data lakes, Authoritative Sources of Truth (ASOTs), and systems-of-systems interoperability and the corresponding transformation benefits thereof. Such benefits include increased data availability, data access equity, data traceability, real-time analytics, batch analytics, and (most importantly) acceleration of the time-to-value and time-to-insights associated with engineering products and analyses. For Safety, Mission Assurance (SMA), and Mission Success (SMS) activities, realization of such benefits is essential for engineers and analysts alike to provide vital information when needed to support critical decision making across the entire life cycle. Far too often, such information lags these decision points and/or is absent of the robust, integrated, knowledge needed given inherent barriers associated with traditional document-centric means to data, analysis, and reporting. An overview is given in this paper of how NASA’s Office of Safety and Mission Assurance (OSMA) is evolving its policies, standards, guidance, and training to eliminate such barriers and realize the benefits emerging in this new digital era. Use and implementation of concepts such as Objective-Driven Requirements, Accepted Standards, Safety and Assurance Cases, data digitization (i.e., ontologies, structured data, and model-centric data), FAIR (Findable, Accessible, Interoperable, & Reusable), and/or FAIRUST (Findable, Accessible, Interoperable, Reusable, Understandable, Secure, and Trusted) that are driving this transformation are described in detail herein. Keywords: Accepted Standards (STDs), Assurance Implementation Matrix (AIM), Automated Program Plan Generator (APPG), Safety and Assurance Cases, Objectives-Driven Requirements, Safety & Mission Assurance (SMA), SMA Plan (SMAP), Safety & Mission Success (SMS) Framework References Feather M., Cornford S., Evans J., DiVenti A., Kotsifakis D., and Bendig J., (2022, January). “Developing an Assurance Case for an Optical Communication Mission in a Model Based Setting,” 68th Annual Reliability and Maintainability Symposium (RAMS): NASA Paper and Presentation. Feather M., Cornford S., DiVenti A., Evans J., (2022, January). “Automated Support for the Project-Specific Instantiation of Standards,” 68th Annual Reliability and Maintainability Symposium (RAMS): NASA Paper and Presentation. Geller, Anna (March 18, 2021). 7 Reasons Why You Should Consider a Data Lake. News Article, Dashbird (https://dashbird.io/blog/7-reasons-why-you-should-consider-a-data-lake McComb, Dave (March 1, 2016). The Data-Centric Revolution: The Evolution of the Data-Centric Revolution Part One. News Article. The Data Administration Newsletter (The Data-Centric Revolution: The Evolution of the Data-Centric Revolution Part One – TDAN.com)

Transformative benefits emerging from NASA OSMA's evolving Data-Centric and Model-Based Policy framework

The evolution from “document-centric” to “data-centric” information leveraging structured data and model-based approaches is at the heart of digital engineering transformational efforts underway across industry and government. It is these approaches that pave the way for data lakes, Authoritative Sources of Truth (ASOTs), and systems-of-systems interoperability and the corresponding transformation benefits thereof. Such benefits include increased data availability, data access equity, data traceability, real-time analytics, batch analytics, and (most importantly) acceleration of the time-to-value and time-to-insights associated with engineering products and analyses. For Safety, Mission Assurance (SMA), and Mission Success (SMS) activities, realization of such benefits is essential for engineers and analysts alike to provide vital information when needed to support critical decision making across the entire life cycle. Far too often, such information lags these decision points and/or is absent of the robust, integrated, knowledge needed given inherent barriers associated with traditional document-centric means to data, analysis, and reporting. An overview is given in this paper of how NASA’s Office of Safety and Mission Assurance (OSMA) is evolving its policies, standards, guidance, and training to eliminate such barriers and realize the benefits emerging in this new digital era. Use and implementation of concepts such as Objective-Driven Requirements, Accepted Standards, Safety and Assurance Cases, data digitization (i.e., ontologies, structured data, and model-centric data), FAIR (Findable, Accessible, Interoperable, & Reusable), and/or FAIRUST (Findable, Accessible, Interoperable, Reusable, Understandable, Secure, and Trusted) that are driving this transformation are described in detail herein. Keywords: Accepted Standards (STDs), Assurance Implementation Matrix (AIM), Automated Program Plan Generator (APPG), Safety and Assurance Cases, Objectives-Driven Requirements, Safety & Mission Assurance (SMA), SMA Plan (SMAP), Safety & Mission Success (SMS) Framework References Feather M., Cornford S., Evans J., DiVenti A., Kotsifakis D., and Bendig J., (2022, January). “Developing an Assurance Case for an Optical Communication Mission in a Model Based Setting,” 68th Annual Reliability and Maintainability Symposium (RAMS): NASA Paper and Presentation. Feather M., Cornford S., DiVenti A., Evans J., (2022, January). “Automated Support for the Project-Specific Instantiation of Standards,” 68th Annual Reliability and Maintainability Symposium (RAMS): NASA Paper and Presentation. Geller, Anna (March 18, 2021). 7 Reasons Why You Should Consider a Data Lake. News Article, Dashbird (https://dashbird.io/blog/7-reasons-why-you-should-consider-a-data-lake McComb, Dave (March 1, 2016). The Data-Centric Revolution: The Evolution of the Data-Centric Revolution Part One. News Article. The Data Administration Newsletter (The Data-Centric Revolution: The Evolution of the Data-Centric Revolution Part One – TDAN.com)

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Lead Author Name: Anthony DiVenti (anthony.j.diventi@nasa.gov)

Bio: Anthony (Tony) DiVenti has over 35 years of experience spanning Reliability and Maintainability (R&M), Systems Safety, Quality Engineering, Six Sigma, Risk Management, etc., and currently serves NASA as the R&M Tech Fellow and one of the Digital Transformation Leads for the Agency. Mr. DiVenti is exploring opportunities to leverage Digital Technologies and advancements taking place across NASA and industry to help transform the way in which Safety, Reliability, Maintainability, etc., are executed to enable more complex missions and better serve our practitioners and community at large.

Country: United States of America
Company: NASA
Job Title: R&M Technical Fellow

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

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