Collaboration on Large Datasets using Globus Rachana Ananthakrishnan University of Chicago

Data sharing in collaborations Registry Staging Store Ingest Store Analysis Store Community Store ArchiveMirror Ingest Store Analysis Store Community Store ArchiveMirror Registry

Data Management User Stories “I need a good place to store / backup / archive my (big) research data” “I need to easily, quickly, and reliably move or mirror portions of my data to other places.” “I need a way to easily and securely share my data with my colleagues at other institutions.” “I want to publish my data.” “I want to discover published data.” …

Exemplar: ISI-MIP Inter-Sectoral Impact Model Intercomparison Project Framework to collate climate impact data across scales and sectors World-wide collaboration with data assets managed by the collaboration Inputs from various climate models & output forms basis for model evaluation and improvement Credits: Dr. Joshua Elliot, University of Chicago

ISI-MIP Use Cases Share data with researchers across institutions world-wide –Restricted sharing –Multiple institutions Accept data submissions –Restricted writing to archive Publish results –Move selected results to other locations –Track metadata –Discover data

What is Globus? Big data publish*, transfer and sharing… …with Dropbox-like simplicity… …directly from your own storage systems * In pilot phase

Collaboration Archive Univ. of Chicago Argonne IIT UIUC Publish walk-through 3. Assemble Dataset (Transfer Data) Curator 2. Describe Submission Scientist 4. Curate Dataset 1. Publish Data

Login with Campus Identity 8

New submission 9

Assemble the Dataset 10

Move data to publish archive 11

Grant Submission License 12

Submission Complete 13

Curator Logs in 14

Curation Workflow Options 15

Verify Metadata & Files 16

Approve the Submission 17

Submission is now Published with DOI 18

Collaboration Archive Univ. of Chicago Argonne IIT UIUC Discover walk-through 3. Assemble Dataset (Transfer Data) Curator 2. Describe Submission Scientist 4. Curate Dataset 1. Publish Data 6. Download 5. Search

Search Published Datasets 20

Discovering a Published Dataset 21

Download the Published Dataset 22

Select Download Destination 23

Globus Under the Covers Identity, Group, Profile Management Services … … Sharing Service Transfer Service Globus Toolkit Globus APIs Globus Connect

Reliable, secure, high-performance file transfer and synchronization “Fire-and-forget” transfers Automatic fault recovery Seamless security integration Powerful GUI and APIs Data Source Data Source Data Destination Data Destination User initiates transfer request 1 1 Globus moves and syncs files 2 2 Globus notifies user 3 3

Simple, secure sharing off existing storage systems Data Source Data Source User A selects file(s) to share, selects user or group, and sets permissions 1 1 Globus tracks shared files; no need to move files to cloud storage! 2 2 User B logs in to Globus and accesses shared file 3 3 Easily share large data with any user or group No cloud storage required

Thank you Signup and use Globus to transfer and share globus.org/signup Signup as early adopters of publish globus.org/data-publication Support

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