1. The RPID Testbed Rob Quick Manager – High Throughput Computing
Research Technologies
Indiana University
Some slides provided by Beth Plale
RDA Plenary Montreal, Canada Sept 2017

2. Our vision
Starts with data network based on Digital Object Architecture (DOA), a distributed architecture of services spread worldwide that together identify and resolve digital objects
DOA first espoused by Internet founder Robert Khan in the mid’80’s.
DOA is a network of Handle servers at its core
Indiana University

3. The Digital Object Architecture serves as base infrastructure only
The Digital Object Architecture serves as base infrastructure only. DOA is silent on issues of modeling data objects themselves: their content, their relationship to their own metadata, and relationship between data objects For object modeling we turn to FAIR principles and PID Kernel Information

4. (e.g., PID to Profile, URL to target)
Handle resolution in a Digital Object Architecture
Client
Handle System
Q: prefix authority
PIT API SDK
Scale: [80…100] GHS
Global Handle Servers
Local Handle Service IP
Q: local handle
Scale: [1000…5000] LHS
Local Handle
Service
Handle information
Stores PID kernel information
(e.g., PID to Profile, URL to target)
Q: DTR with Profile PID
Data Type
Registry Service
Scale: [1..10]
Filter-ed PIDS
DTR Profile Definition
Stores type definitions for kernel information
Trusted PIDs

5. What should go into the PID Kernel Information
What should go into the PID Kernel Information? PID  Kernel Information is a small amount of information stored at resolver (Local Handle Server) in PID record of a PID Inspiration: take FAIR principles as guide: how far can PID Kernel Information aid in implementing FAIR?

6. Further imagine an Internet-scale data client that is handed a list of a 100,000,000 PIDs. How does client quickly sift through list to find research data objects? Further suppose client is able to winnow list down to just research data objects, how does it then quickly discard fakes?

7. Global Handle Registry
PID Kernel Information Use case: Client filters list of millions of PIDs to identify research data and makes simple determination of trust
Client
Handle System
Q: prefix authority
Global Handle Registry
Local Handle Service IP
Q: local handle
Stores PID kernel information
Local Handle
Service
[1000…5000]
Handle information
Q: DTR with Profile PID
Data Type
Registry Service
Filter-ed PIDS
DTR Profile Definition
Stores type definitions for kernel information
Trusted research PIDs

8. Client working with PID Kernel Information looks at each PID in list, accepts those that have: -- Kernel Information profile stored in Data Type Registry (DTR), -- That profile is associated with RDA (in some unspecified manner) -- PID Kernel Information holds tiny amount of data provenance from which basic sense of trust is derived

9. PID Kernel Information Summary
Exploration driven by identifying and evaluating minimal information that can go into Kernel Information that can help make Data Objects FAIR and less dependent on the repository system to enforce FAIRness?
Long term goal: Smart data objects
Kernel information has potential to spawn new ecosystem of data services for smart data objects

10. RPID testbed Suite of software services for use by community
Data type registry (RDA)
PIT API (RDA)
Handle service
Exploratory services
PID Kernel Information
Mapping CTS URNs to handles
Packaging for use by others
Help and advice
User advisory group
Indiana University

11. The RPID testbed is open for research, education, non-profit, or pre-competitive use. Ideas are being put into action through a US NSF funded project called Robust PID (RPID) Testbed Project partners include Beth Plale, Rob Quick, Robert McDonald, Yu Lao Indiana University Bridget Almas, Tufts University Larry Lannom, CNRI
The opinions expressed here are those of author alone and do not represent the views of the US National Science Foundation