Terrell Russell, Ph.D.
@terrellrussell
Executive Director, iRODS Consortium
June 1, 2022
ISC 2022
Hamburg, Germany
Challenges and perspectives using iRODS for data management
Challenges and perspectives using iRODS for data management
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Definitions
Data Management
"The development, execution and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the value of data and information assets."
Policy
A set of ideas or a plan of what to do in particular situations that has been agreed to officially by a group of people.
The Goal: Boring Data Management
Data Management must be holistic, top down, driven by policy.
Good Data Management is automated, enforced, auditable, open source.
| Challenges | Reasons |
|---|---|
| Leadership | requires vision, ambition, time, money |
| Humans | buy-in, follow through, consistency |
| Communication | words, consistency, meaning, interoperability |
| Process | code, software tools, longevity |
People should make the policy. Computers should execute the policy.
Data management
should be
data-centric and metadata driven.
Future-proof automated data management
requires
open formats and open source.
iRODS Policies
The reflection of real world data management decisions in computer actionable code.
(a plan of what to do in particular situations)
ISC 2022 - Challenges and perspectives using iRODS for data management
By iRODS Consortium
