Digital | Curation | Centre Adding value to open access research data: reflections on the process of data curation Dr Liz Lyon, DCC Associate Director.

Digital | Curation | Centre

Adding value to open access research data: reflections on the process of data curation

Dr Liz Lyon,

DCC Associate Director Outreach Director, UKOLN, University of Bath, UK

Funded by:

This work is licensed under a Creative Commons LicenseAttribution-ShareAlike 2.0

3rd European Conference on Research Infrastructures

2


For later use? In use now (and the future)?

What is digital curation?

Data preservation Data curation

Static Dynamic

“maintaining and adding value to a trusted body of digital information for current and future use”

3


(Very simple) e-Research Cycle and Data Curation

Formulate hypothesis / ideas, test, experiment, observe: data creation,

collection & capture

Adding value: Data linking, annotation,

visualisation, simulation

(New) knowledge extraction: data mining, modelling, analysis, synthesis

e-Infrastructure

Open access

Collaboration

Scholarly communications: data disclosure, publication, citation, discovery, re-use

Data management storage & validation: description, deposit,

self-archiving, preservation,

certification

Data processing

Data processingData processing

Data processing

Data processing


4








e-Infrastructure

Open access

Collaboration




certification

Data processing


Data processing

Data processing

5


Curation issues 1: Data capture & integration

into research workflows

• R4L Repository for the Laboratory Project (JISC-funded) automated data capture from instrumentation, deposit of results (chemistry)

• SMART TEA electronic Laboratory notebook + annotations

6


– Access Grid – Collaborative telematic art– Modify spaces for performers – Interplay: Hallucinations

7


Human discourse : supporting “persistent conversations”?

• MEMETIC Project

• JISC-funded

• Virtual Research Environments Programme

• Compendium software + Access Grid

8








e-Infrastructure

Open access

Collaboration




certification

Data processing


Data processing

Data processing

9


Learning & Teaching workflows

Research & e-Science workflows

Aggregator services: national, commercial

Repositories : institutional, e-prints, subject, data, learning objects

Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules

Harvestingmetadata

Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media

Resource discovery, linking, embedding

Deposit / self-archiving

Peer-reviewed publications: journals, conference proceedings

Publication

Validation

Data analysis, transformation, mining, modelling


Deposit / self-archiving

Learning object creation, re-use

Searching , harvesting, embedding

Quality assurance bodies

Validation

Presentation services: subject, media-specific, data, commercial portals


The scholarly knowledge cycle.

Liz Lyon, Ariadne, July 2003.


© Liz Lyon (UKOLN, University of Bath), 2005

10


Federated repository architectures & repository services

fusion layer ‘repository federator’

repository repository repository repository repository

portal portal portal portal portal

heterogeneous - metadataformats, content formats,identifiers, packagingstandards

homogeneous - metadataformats, content formats,identifiers, packagingstandards

From Andy Powell: http://www.ukoln.ac.uk/distributed-systems/jisc-ie/arch/presentations/jiie-jcs-2005/

• Global

• Inter-disciplinary

• Cross-sectoral

• Multiple format types

• Data, eprints, images…….

• e-Framework: JISC & DEST

• Defining common services + domain-specific services

11


eBank UK Project• Two key themes:

– Open access to datasets– Linking research data to publications and to learning

• UKOLN, University of Southampton, University of Manchester• e-Science application ‘Combechem’ : Grid-enabled combinatorial

chemistry + National Crystallography Service• Resource Discovery Network / PSIgate physical sciences portal

http://www.ukoln.ac.uk/projects/ebank-uk/

12


A data repository entry

13


Access to the underlying data: complex objects

ecrystals.chem.soton.ac.uk

14


Curation issues 2: describing data

• Validation, publication & discovery of data models & schema

• Managing complex objects • Metadata packaging standards

– METS– MPEG 21 DIDL

• Semantic descriptions– Formal controlled vocabularies– High-level and domain ontologies– Inter-disciplinary discovery

• Informal approaches Web 2.0 “folksonomies”

15


JISC PALS

Dictate project

Research data?

Blogs & informal communications?

16








e-Infrastructure

Open access

Collaboration




certification

Data processing


Data processing

Data processing

17


Curation issues 3: Persistent identifiers for data citation

• Identify use cases: depositor, author, service provider, reader, publisher, ?

• Schemes: DOI, Handle, ARK, PURL• Global identification: express as http URIs• Added value services: CrossRef, resolution service,

integration (Globus), look-up service• Domain identifiers: e.g. International Chemical Identifier

(INChI) codes• Google molecules using InChIs demo: Peter Murray-Rust,

Uni Cambridge

18


One approach to data citation using DOIs

• Publication & citation of scientific primary data project National Library for Science & Technology (TIB), University of Hanover, Germany STD-DOI Project http://www.std-doi.de

• DOI registry for datasets• Data publication agents: World Data Center Climate,

GeoForschungsZentrum Potsdam • Data requirements: quality control, long-term curation,

use DOI resolver• Exemplar data citation:

– Kamm, H; Machon, L; Donner, S (2004): Gas chromatography (KTB Field Lab), GFZ Potsdam. doi:10.1594/GFZ/ICDP/KTB/ktb-geoch-gaschr-p

19








e-Infrastructure

Open access

Collaboration




certification

Data processing


Data processing

Data processing

20


Adding value: eBank linking data to publications

21


Linking research to learning - embedding eBank aggregator service in a science portal for student learners

22


UK Digital Curation Centre

• Delivering services

• Development activities

• Research agenda

• Outreach Programme

• http://www.dcc.ac.uk/

23


Adding value through annotation

DCC Research Agenda at the University of Edinburgh

• Databases: Annotation scoping report

• AstroDAS distributed annotation servers

• New annotation model + prototype: top-ranked demonstration at recent DB conference

24








e-Infrastructure

Open access

Collaboration




certification

Data processing


Data processing

Data processing

25


26


Curation issues 5: workforce development, capacity building & achieving cultural change

• DCC Outreach & Services:– [email protected]

(legal - technical guidance) – Curation Manual– Workshops, Information Days– 2nd International Conference

November 2006

• NSF Report : “Data scientist”• Develop hybrid skills• Embed in u/g, p/g curriculum• Facilitate collaboration:

researchers, data centres, digital libraries & archives communities


Thank you.

[email protected]

Join the DCC Associates Network at www.dcc.ac.uk

Digital | Curation | Centre Adding value to open access research data: reflections on the process of data curation Dr Liz Lyon, DCC Associate Director.

Documents

data mining

data disclosure

digital curation centre

open access research

data capture integration

automated data capture

metadata data creation

curation issues