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Architecting the Next Generation ATN Architecting the Next Generation ATN

Architecting the Next Generation ATN - PowerPoint Presentation

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Uploaded On 2020-06-23

Architecting the Next Generation ATN - PPT Presentation

Data Assembly Center Rob Bochenek Axiom Data Science Define cyberinfrastructure Talk about data lifecycle Animal t elemetry c ase s tudies Summary The National Science Foundation defines cyberinfrastructure as ID: 784700

amp data cyberinfrastructure science data amp science cyberinfrastructure lifecycle archive storage metadata standards software creation quality control lab teams

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Presentation Transcript

Slide1

Architecting the Next Generation ATN Data Assembly Center

Rob Bochenek - Axiom Data Science

Slide2

Define cyberinfrastructure

Talk about data lifecycle

Animal telemetry

case

studies

Summary

Slide3

The National Science Foundation defines cyberinfrastructure as:

In scientific usage, cyberinfrastructure is a technological and sociological solution to the problem of efficiently connecting laboratories, data, computers, and people with the goal of enabling derivation of novel scientific theories and knowledge.

Understanding of the existing community developed data standards, protocols and software

Scalable compute and storage infrastructure (HPC)

Human capacity - data scientists, data librarians, data coordinators, software engineers…

Science community that can benefit from support

Supporting ATN through Cyberinfrastructure

Slide4

Data Lifecycle

DATA CREATION & QUALITY CONTROL

Science/Lab Teams

DATA STORAGE

CENTRALIZATION

& ORGANIZATION

DATA DESCRIPTION

Metadata

PUBLICATION &

ARCHIVE

DOI Generation &

Repository submission

DATA ACCESS & DISCOVERY

Data portals & search catalogs

REUSE & TRANSFORMATION

Synthesis

Slide5

Data Lifecycle

DATA CREATION & QUALITY CONTROL

Science teams

DATA STORAGE

Upload to Workspace or Tag Manufacturer Integration

DATA DESCRIPTION

Metadata Editor

ARCHIVE & PRESERVATION

Repository submission pathway

DATA ACCESS & DISCOVERY

Data portals & search catalogs

REUSE & TRANSFORMATION

Jupyter Notebook & data analyses

Slide6

Organize into projects, research campaigns and organizations

Coordinate data exchange across networks, groups, programsISO 19110/19115-2 standards metadata editor

Execute server side R and Python numeric workflows (Jupyter) on uploaded data AND any data in IOOS stack (State Space Models and other Analysis)

Archive pathway to DataONE, NCEI & DOI minting (Emerging)

Slide7

Examples and Case Studies

Marine Arctic Ecosystem Study (MARES)

AFSC Marine Mammal Lab

Florida Atlantic Coast Telemetry Project

Slide8

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Slide13

Demos

https://docs.google.com/document/d/1UWZaTcIYXjsJahFkPE-vd3RIINZZBcQ-T8b01bBRcx4/edit?usp=sharing