The Data in Context Interest Group at the 3rd RDA Plenary in Dublin discussed developing a common understanding of data context and lifecycles. They reviewed several existing data lifecycle models and standards that address contextual metadata. Their goals are to provide an overview of relevant standardization work, prioritize requirements, and establish a working group to further develop standardized profiles and facilitate transformation between standards to represent data context. The group plans initial deliverables reviewing contextual standards work and prioritizing requirements, to inform establishing a working group.

1. Data in Context
Co-chairs: Brigitte Jörg, Keith Jeffery
RDA 3rd Plenary,
March, 26th - 28th, 2014 Dublin

2. Brief History
• 1st Plenary Gothenburg Preparing a WG Proposal/Case
Statement „Contextual Metadata“
• A lot of interest
• Revision of Initial Use Cases
• Use Cases as specific as possible
• Alignment with other WGs / Activities
• Four revised use cases:
– Researcher: Find data ..
– Manager: Indicate to funder
– Provenance: Allow to take segments from streamed data
workflows
– Interoperability: Exchange of contextual metadata
• Rename Group to „Data in Context“

3. Data in Context IG Approach
• Lifecycle Approach
– Linear Sequence of Elements
– Cyclic Repetition of Elements
• Investigate Lifecycle Models
– DCC: Conceptualize; Create;
Access; Use; Appraise; Select;
Dispose; etc
– DDI: Discovery & Planning;
Initial Data Collection; etc.
– Research Lifecycle (Jisc):
Research Process: Simulate
Experiment; Manage Data;
Analyse; etc.
– etc. ??
• Investigate contextually or
subcontextually-aware
standardization work
– OAIS; CASRAI; CERIF; VIVO;
PROV; PREMIS; MARC; CKAN;
DCAT; ISO; W3C; OMG; Research
Objects, etc.
• Investigate / Prioritize
Reusable Requirements
• Deliverables:
– M6: Overview of contextually-
aware standardization work
– M12: Priority List of
Requirements
• Goal:
– Set up of a Working Group
– Implementation of Standardized
Profiles
• Long-term Goal:
– Automated Transformation
Between Standards

4. Collaboration / Exchange
• RDA Foundation and Terminology
• RDA Metadata Standards Directory WG
• RDA PID Information Types WG
• ICSU Open Metadata Catalogue and Knowledge
Networks WG
• RDA/WDS Workflows for Publishing Data IG
• RDA Data Description Registry Interoperability
• RDA Semantic Interoperability Activity
• RDA Metadata Interest Group
• Various W3C groups (LOD, SW....)

5. Requirements / Needs
• Stakeholders
• Data Producers
• Data Consumers
• Standardized Open Vocabularies
• Standardized Formal Data Profiles
• Standardized Formal Semantics
Template
First Steps taken with
developing a Template
Apply

6. DCC – The Curation Lifecycle
Stakeholders
Data Producer
Data Consumer
Standardized Open Vocabularies
Standardized Formal Data Profiles
Standardized Formal Semantics
http://www.dcc.ac.uk/digital-curation/what-digital-curation

7. DDI Lifecycle
http://www.ddialliance.org/Specification/DDI-CV/
DDI Controlled Vocabularies
Analysis Unit; Character Set; Commonality Type;
Lifecycle Event Type; Response Unit;
Software Package; Summary Statistic Type
Time Method
Stakeholders
Data Producer
Data Consumer
Standardized Open Vocabularies
Standardized Formal Data Profiles
Standardized Formal Semantics

8. Data Assets Framework
Stakeholders
Data Producer
Data Consumer
Standardized Open Vocabularies
Standardized Formal Data Profiles
Standardized Formal Semanticshttp://www.data-audit.eu/

9. Research Lifecycle
DDI Controlled Vocabularies
Analysis Unit; Character Set; Commonality Type;
Lifecycle Event Type; Response Unit;
Software Package; Summary Statistic Type
Time Method
Stakeholders
Data Producer
Data Consumer
Standardized Open Vocabularies
Standardized Formal Data Profiles
Standardized Formal Semantics
http://www.jisc.ac.uk/whatwedo/campaigns/res3/jischelp.aspx

10. RDA Practical Policy WG
Policy Categories
Collec on-
based
Policies
Integrity
Data Lifecycle
Management
Data Staging
Federa on
Descrip on
Publica on
Compliance
Data
Management
Plans
Access
Control
Preserva onProvenance
Replica on
Regulatory
Management
Administrative
Assessment
Stakeholders
Data Producer
Data Consumer
Standardized Open Vocabularies
Standardized Formal Data Profiles
Standardized Formal Semantics
Src: Slide Extract Rainer Stotzka, Reagan Moore provided for „Data in Context“ session, RDA 3rd Plenary

11. Data Lifecycle
Stakeholders
Data Producer
Data Consumer
Standardized Open Vocabularies
Standardized Formal Data Profiles
Standardized Formal Semantics
DATA
Collaboration
&
Visualisation
Dissemination
&
Sharing
Archiving
&
Preserving
Analysis
&
Data Mining
Acquisition
&
Modeling
Src: Keynote Tony Hey at RDA 3rd Plenary

12. Experimental Context, Publishing and
Research Objects
Proposal
Approval
Scheduling
Experiment/
Investigation
Data storage
Record
Publication
Scientist submits
application for
beamtime
Facility committee
approves
application
Facility registers,
trains, and
schedules
scientist’s visit
Scientists visits
facility, run’s
experiment
Subsequent
publication
registered with
facility
Raw data filtered,
and stored
Data
analysis
Tools for
processing made
available
Investigation as a
first class object
Src: Slide extract Brian Matthews, STFC provided for „Data in Context“ session, RDA 3rd Plenary

13. Liberalised Meta-Data
Is a network
13
Citation
Coverage
(Temporal,
Spatial, Topic)
Use, Caveats,
Lineage,
Methods, and
Licenses
Publisher
People
Institutions
RDI Outputs/
Online
Resources
Projects
Initiatives
Networks
Funders
Relationships are contributed by (1) meta-data mining (2)
information from websites conforming to schema (3) social-
media-type sites and VREs (4) existing network contributions (5)
scraping existing websites (6) ontologies and vocabularies (…)
Src: Slide Extract Wim Hugo, ICSU WDS provided for „Data in Context“ session, RDA 3rd Plenary

14. Etc.
• Data Curation Profiles (Purdue University)
• ODP Model (ISO Reference Model for Open
Distributed Processing)

15. Standards
Jeffery et. al. 2013 http://resources.metapress.com/pdf-preview.axd?code=vl5422n2u7112669&size=largest
• e.g.
• OAIS
• CASRAI
• CERIF
• VIVO
• PROV
• PREMIS
• MARC
• CKAN
• DCAT
• ISO
• W3C
• OMG
• ODP
• etc.

16. Emerging e-Infrastructure
Discovery
Contextual
Discovery
Jeffery et. al. 2013 http://resources.metapress.com/pdf-preview.axd?code=vl5422n2u7112669&size=largest

17. Agenda
Session 1: Thursday, March 27 - 15:30 - 17:00
• Introduction and Overview from Co-Chairs
• Contributions from RDA Members
– Data Publishing Workflows, DCC Data Profiles (Angus Whyte)
– Data Description Registry Interoperability (Amir Aryani)
– Long-tail Data IG, Data Publishing IG (Jochen Schirrwagen)
– WDS Knowledge Network activity (Wim Hugo)
– Experimental Context, Publishing and Research Objects (Brian Matthews)
– Reference Model Proposal (Yin Chen)
• Discussion
Notes Taking:
Alessia Bardi, RDA Early Career Researchers Programme recipient.

18. Agenda
Session 2: Friday, March 28 - 11:00 – 12:30
• Recap and Overview from Co-Chairs
• Contributions from RDA Members
– Semantic Interoperability, (Gery Berg-Cross)
– Metadata WGs (Keith Jeffery, Rebecca Koskela)
– Practical Policy Sessions (Slides Reagan Moore)
• Discussion
Notes Taking:
Alessia Bardi, RDA Early Career Researchers Programme
recipient.

19. Rough Work Plan
• M6: Overview of contextually aware
standardization work
• M12: Priority List of Requirements
From there set up a RDA Working Group
Requirements-driven
Implementation of Standards WG Plan