U.S. Army Research, Development and Engineering Command UNCLASSIFIED MSAT/MAPTIS Data Archiving...

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U.S. Army Research, Development and Engineering Command UNCLASSIFIED UNCLASSIFIED MSAT/MAPTIS Data MSAT/MAPTIS Data Archiving Process & Archiving Process & Material Data Templates Material Data Templates & Schema & Schema Wayne Ziegler Materials Engineer U.S. Army Research Laboratory June 2014

Transcript of U.S. Army Research, Development and Engineering Command UNCLASSIFIED MSAT/MAPTIS Data Archiving...

Page 1: U.S. Army Research, Development and Engineering Command UNCLASSIFIED MSAT/MAPTIS Data Archiving Process & Material Data Templates & Schema Wayne Ziegler.

U.S. Army Research, Development and Engineering Command

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MSAT/MAPTIS Data Archiving MSAT/MAPTIS Data Archiving Process & Material Data Process & Material Data

Templates & SchemaTemplates & Schema

Wayne ZieglerMaterials EngineerU.S. Army Research LaboratoryJune 2014

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Why have a Material Why have a Material Information SystemInformation System

• To work smarter and faster• Reduces duplication of testing• Electronic notebook• Faster dissemination and

retrieval of data• Stop data loss - Ensures data is available

to next generation• Improved data consistency and quality• Improved work processes and throughput• Accelerates implementation

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Data management plans are vital Data management plans are vital to remain relevantto remain relevant

Programmatic Challenges?•Lack of unified directive•Requires investment of resources•Culture•Misinformation

Current Strategy:•Don’t reinvent the wheel-build on existing system to maximize impact. •Build a DoD resource: Material Selection and Analysis Tool (MSAT)

Successful plans use systems engineering approach.

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Current Efforts – Additive Current Efforts – Additive ManufacturingManufacturing

DARPA Open Manufacturing Program

Source: Richard Martukanitz, Director CIMP-3D

Material Informatics Vision

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Modified Workflow DiagramModified Workflow Diagram

Transfer

Data

Transfer

Data

Execute Test/

Process

Execute Test/

Process

Extract DataExtract Data

Execute

Test/

Process

Execute

Test/

Process

Lab

/Process

Notebook

Lab

/Process

Notebook

Analyze

Data

Analyze

Data

Import into

Database

Import into

DatabaseExtract DataExtract Data Analyze DataAnalyze Data

MSAT/MAPTIS Workflow

Traditional Workflow

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MSAT

Data Schema – defines

organization of data

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MSAT

Data Schema – defines organization of

data

1. Define

data sets

2. Define Data

Arrangement

3. Develop Import

Templates (SQL)

5. Mange Data – Access

Control, Verification &

Validation

6. Define Data Use Cases,

Data Analytics, Informatics,

Model Inputs

4. Use Templates to

Import Data7. Develop Export

Templates

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Technical Considerations

Definition of the main function of the system

How the system will fit in with existing systems and workplace practices

Who will use the system, and how

How data flows through the system

What type of information will be handled

How the system will be setup, deployed and maintained

Who is responsible for, and owns, the various system components

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Practical ChallengesPractical Challenges

Not every user is an expert

Materials and process data is never complete

Data has value – access control is critical (and potentially contentious)

It takes time to rationalize and consolidate data

Diverse end-users need data in diverse places and formats

Materials information systems need end-users

Designing a system from scratch is impractical

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Additive Manufacture Additive Manufacture Data Schema MapData Schema Map

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Materials Selection & Analysis Tool (MSAT)

•Wayne Ziegler, ARL

[email protected]

Materials and Processes Technical Information System (MAPTIS)• Dennis Griffin, NASA MSFC• [email protected]

ContactsContacts

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MSAT DemoMSAT DemoTemplateTemplate

AM DatabaseAM Database

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Back Up SlidesBack Up Slides

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Material Informatics Vision

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Schema Map Represents High Level Schema Map Represents High Level Relationships Between Data SetsRelationships Between Data Sets

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Unclassified

Source Data Questions

• Generic Data Type

• Data Source

• Property Variables

• Format of Data

• Volume

• Frequency

Defining the Structure/System

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Defining the Structure/System Defining the Structure/System Defining the Structure/System

Data Analysis Questions

• Analysis Model

• Transfer Method

• Format of Data to Analyze

• Type of Data

• Analysis Output

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Data Output Questions

Format

Data Usage

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Workflow Questions

Data Flow Through Database

Responsibility for Each Stage

Data Approval

Who Maintains Workflow

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Data Security Questions

Restrictions Required

Nationality

Site

Project

Data Quality

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Structure Definition Worksheets

Data Output Details

Data Source & Import Details

Data Analysis Details

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Workflow Details

Data Security Details

Transfer of Current &

Legacy Data