1. Current and Upcoming RDA Recommendations Dr. ir. Herman Stehouwer
DFT, DTR, PIT, PP

2. Neutral Forum for discussing issues Generates global discussions
Intangible Outcomes
Neutral Forum for discussing issues
Generates global discussions
Very diverse
Roles
Disciplines
-> Increased insight (e.g. Jamie)
-> Increased needs alignment (e.g. Antonio)

3. First Four Outputs Presented at P4 in Amsterdam Recommendations DFT
DTR
PIT PP
Coming up this plenary:
Data Citation
Data Description Registry Interoperability
Metadata Standards Directory
Wheat Data Interoperability
Impact:
Small group of initial adopters
After evaluation moving to new, outside adopters. Which we will see today
Today: concrete impact of these results, lowered barriers to data sharing

4. common data model PIDs at the beginning of trust chain
taken from RDA WG Data Foundation & Terminology
PIDs at the beginning of trust chain
need a worldwide, independent and robust PID system worldwide
metadata are essential in anonymous data world

5. Data Type Registry result: a registry for data types
simple example: you get an unknown file,
pull it on DTR and content is being
visualized
DTR can also be used to describe
and re-use semantic content
no free lunch: someone needs to
register and define type
PIT Demo already working with
DTR

6. PID Information Types
result: a generic API and a set of basic attributes
a PID Record is like a Passport (Number, Photo, Exp-Date, etc.)
if all PID Service-Provider agree on one API and talk the same language (registered terms) SW development will become easy
Test-Installation
in operation
together with
DTR

7. Practical Policies due to unforeseen circumstances need until P5
Practical Policies = executable Workflow Statements
result at P5: a set of Best Practice PPs for a number of typical DM/DP tasks (Integrity Check, Replication, etc.)
currently a large collection of PPs, currently being evaluated
huge simplification for data stewards
finally feasible quality checks and certification
huge step in trust improvement

8. Second Group of Outcomes
Presented at the last Plenary in San Diego
Working on Adoption / Recommendations
Citation of Dynamic Data
DDRI
Metadata Standards Directory
Wheat Data Interoperability

9. Citation of Dynamic Data
We have: Data + Means-of-access
Dynamic Data Citation: Cite data dynamically via query!
Steps / Principles:
Data  versioned (history, with time-stamps)
Researcher creates working-set via some interface:
Access  assign PID to “QUERY”, enhanced with
Time-stamping for re-execution against versioned DB
Re-writing for normalization, unique-sort, mapping to history
Hashing result-set: verifying identity/correctness
leading to landing page
Many prototypes and pilot impletmentations

10. DDRI
Enabling cross-platform discovery between research data registries
Interoperability projects between ANDS, CERN, Dryad based on DataCite and ORCID services
Research Data Switchboard
Interoperability between da-ra and DataPASS based on Dataverse
De-duplication project; a collaboration between Data Curation Unit and DANS
This infrastructure enables anyone to query and find links between registries. It can be used by universities, repositories, registries and funders.

11. Metadata Standards Directory
Standards are a good thing
But, only works when people use the same standards
Too few standards -> People do their own thing
Too many standards -> Fragmentation
Goal: Develop a directory listing Metadata standards
Comprehensive
Easy to contribute to
Extend DCC Metadata Directory
Make it community-updatable

12. Wheat Wheat is a major food-staple
Need data interoperability to increase production
Encourage Interoperability by:
Creating an Interoperability framework
Providing guidelines on Wheat data (cookbook)
Repository of linked vocabularies
Adoption by WheatIS (Wheat Initiative), FAO, etc.
Extremely active

13. Third wave Presented in Paris DSA-WDS Audit and Certification
Publishing:
Bibliometrics
Workflows
Services
Additionally: Publishing cost models

14. DSA-WDS Audit and Certification
Collaboration WG between WDS and DSA certification
Result:
Common requirements
Common procedures
Example:
R4. The repository ensures, to the extent possible, that data are created, curated, accessed, and used in compliance with disciplinary and ethical norms.

15. RDA/WDS Data Publishing Workflows
Identified key components and how they work together.
Workflows differ based on context.

16. RDA/WDS Data Publishing Services
Goal: Linking data with its literature
Objective: move from a plethora of (mostly) bilateral arrangements to a one-for-all service model infrastructure for the research data publication landscape
Multi-hub model
Test it: