ARL CNI Forum October 2008 - PowerPoint PPT Presentation

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ARL CNI Forum October 2008

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Title: ARL CNI Forum October 2008


1
Transition or Transform? Repositioning the
Library for the Petabyte Era Dr Liz Lyon,
Director, UKOLN, University of Bath, UK Associate
Director, UK Digital Curation Centre ARL / CNI
Forum, Washington DC, October 2008
UKOLN is supported by
This work is licensed under a Creative Commons
LicenceAttribution-ShareAlike 2.0
2
Perspectives
  1. Disciplines and Practice a diverse landscape
  2. Institutions and Assets emerging initiatives
  3. People and Skills building capacity

Robot librarian _at_ CERN tends 5PB data (Nature
July 2008)
3
Disciplines and Practice
4
  • Immersive case studies
    www.dcc.ac.uk/scarp/
  • Disciplinary factors in curating Architectural
    Research (Colin Neilson)
  • Curating Brain Images in a Psychiatric Research
    Group (Angus Whyte)
  • Curating MST radar data at STFC (Esther Conway)
  • Roles and reusability of video data in social
    research (Angus Whyte)

5
Division of Psychiatry, Univ. of Edinburgh 9Tb
MRI images demographic data shared in
Neurogrid/NeuroPsygrid and multi-centre
studies 10 year longitudinal studies data is
continually re-analysed new analytic techniques
add value to older data Data integration
multiple scanner image normalisation, shared
terminology needed
http//www.flickr.com/photos/30435752_at_N08/28921121
12/
Neuro-imaging Case Study Report due October 2008
http//www.flickr.com/photos/macronin47/85006920/
6
Interdisciplinary team roles clinicians, imaging
researchers, psychologists, scanner engineers,
sys-admin Heedful interaction team weekly
meetings provide a human infrastructure for
curation, based on trust Data-sharing as a form
of trade or gift exchange give to get rather
than give away implications for research
funder data access policies research funders
should think global act local
Ethics, confidentiality, privacy issues
skull-stripping software anonymisation,
potential for prediction of psychiatric
disorders DRAMBORA Risk assessment, mitigation
steps identified data policy core metadata
set, data documentation, phased development
7
http//wiki.ecrystals.chem.soton.ac.uk/index.php/M
ain_Page
8
eCrystals Curation Preservation Study
  • Working with the Digital Curation Centre
  • Examined four main areas
  • Audit and certification (TRAC, DRAMBORA, NESTOR,
    ISO International repository audit and
    certification BOF Group)
  • The Open Archival Information System (OAIS) and
    Representation Information (RI)
  • eBank-UK application profile and preservation
    metadata
  • ePrints.org repository platform

http//www.ukoln.ac.uk/projects/ebank-uk/curation/
eBank3-WP4-Report20(Revised).pdf
Recommendations
9
eCrystals Federation Preservation
sustainability Recommendations
  • Data repositories
  • Use DRAMBORA Interactive Vs 1.0 for
    self-assessment
  • Add PREMIS preservation metadata
  • Collect eCrystals representation information
  • Examine repository platform conformance to OAIS
    Reference Model
  • Survey partner preservation policies

Digital Curation Centre partnership
10
Scaling Up Report
Interviews analysis of a discipline
crystallography Findings Diverse lab
practice Laboratory Information Management
Systems (LIMS) proprietary formats Data policy
should reflect lab practice institutional
model Data quality criteria/validation Prior
publication problem We need scalable assignment
of terms for data discovery No discipline
preservation model Recommendations (7), commentary
May 2008 UKOLN and University of Southampton
11
Practice challenges?
  1. Understanding the risks, awareness
  2. Community consensus, advocacy
  3. Data management plans
  4. Appraisal selection criteria
  5. Data documentation metadata, schema, RepInfo,
    semantics
  6. Data formats applying standards
  7. Instrumentation proprietary formats
  8. Data provenance authenticity
  9. Data citation versions persistent IDs
  10. Data validation and reproducibility
  11. Data access embargo policy
  12. Data linking text, images, software

12
Open Science Experiment
Blogging results data
With thanks to Simon Coles, Univ Southampton
13
1. Transition or Transform? the Library
  • Remote research support or integrated team
    science?
  • Passive observation or proactive participation?
  • Is your library fully embedded in research
    practice?
  • How do you acquire a deeper understanding of
    disciplinary data curation approaches?
  • Models of engagement?
  • Immersive case studies
  • Joint RD projects
  • New service offerings
  • Role extension (Faculty / subject / liaison
    librarians)
  • Secondments
  • Library supports human infrastructure for curation

14
Institutions and Assets
http//www.flickr.com/photos/mintchocicecream/7491
707/
15
Shared Research Data Service Feasibility Study
  • HEFCE award 255K to SERCO
  • Objectives
  • Develop understanding of UKs current and future
    research data service needs
  • Work with other UK stakeholders to identify
    priorities for action
  • Develop a number of scenarios/options for the
    shared service from do nothing to a managed
    national service
  • Develop a detailed business plan for the
    preferred option(s)
  • Include assessment of costs and benefits in
    options appraisal
  • Indicate both scale of investment required an
    estimate of likely ROI
  • Present outline governance and management
    proposals for the preferred option(s)
  • 4 case study volunteers Bristol, Leeds,
    Leicester, Oxford
  • Report January 2009, Interim Report published
    July 2008

16
State-of-the Nation Analysis Research funder
policies Data centres and facilities International
comparators Options analysis and
appraisal Baseline for Costs Stakeholder
analysis, Success criteria Emerging survey
themes Advocacy, Co-ordination and information,
Coherence, Data Depository, Skills and training,
Seeding the Data Commons
October 2008 Development of Models
17
http//www.flickr.com/photos/philipdunn/2424950499
/
University of Oxford case study 37 interviews
with researchers Workshop Report published July
2008
18
Background
  • A recommendation to JISC
  • JISC should develop a Data Audit Framework to
    enable all universities and colleges to carry out
    an audit of departmental data collections,
    awareness, policies and practice for data
    curation and preservation
  • Liz Lyon, Dealing with Data Roles, Rights,
  • Responsibilities and Relationships, (2007)?

19
Data Audit Framework Launch 1st October 2008
http//www.data-audit.eu/ Benefits Prioritisation
of resources Capacity development and
planning Efficiency savings move data to more
cost-effective storage Manage risks associated
with data loss Realise value through improved
access re-use Positioned as a self-audit
tool Scale departments, institutions
20
Methodology
http//www.data-audit.eu/DAF_Methodology.pdf
21
Workflow and tasks
22
Detailed assessment
  • Updating frequency
  • Type
  • Format
  • Rights and restrictions
  • Usage frequency
  • Relation
  • Back-up and archiving policy
  • Management to date
  • ID
  • Data creator(s)
  • Title
  • Description
  • Subject
  • Date
  • Purpose
  • Source


23
School of GeoSciences pilot audit
  • 80 academics, 70 research fellows, 130 PhD
    students
  • Annual research grant and contract income of
    4-6M
  • Staff contribute to gt1 of five Research Groups
  • Involvement in inter-University Research
    Consortia and Research Centres
  • 15Tb data on main server
  • Audit led by Information Services staff
  • Interviews with 35 Faculty staff
  • Create Inventory of 25 datasets and classify them
  • Assess most significant assets in detail, collect
    basic set of data elements based on Dublin Core
  • Draft Report and Recommendations to the School of
    GeoSciences and to Information Services

24
GeoSciences pilot lessons learned
  • Time needed is longer than initially anticipated
    (for interviews etc.) but still manageable - Plan
    well in advance
  • Inventory doesn't have to be comprehensive but
    could be a representative sample
  • Little documentation/knowledge of what existsa
    nightmare
  • There are no standards in creating managing
    data assets
  • Define the scope and granularity carefully
  • Ensure appropriate timing (avoid exams, field
    trips, Boards)
  • Get support from senior management (VP level)
  • Collect as much information as possible in
    interviews/surveys
  • Variable openness of staff and their data

25
GeoSciences pilot some outcomes
  • Preliminary but positive
  • Requirement for institution-wide data policy and
    guidelines
  • Requirement for researcher training
  • IPR issues associated with data ownership
    individual or institution?
  • Requirement for training for auditors
  • Scaling up audits 6 further data audits in
    process (including Physics, Biol Sci., Education,
    History, Classics Archaeology, Biomedical
    Sciences)

26
2. Transition or Transform? Librarians
  • There are lots of opportunities for action
  • Leadership by senior managers
  • Data policy development - with PVC / VP research
  • Storage infrastructure provision with IT
    Director
  • Faculty audit co-ordination (DAF tool)
  • Advocacy, awareness-raising workshops, training
  • Data literacy programmes
  • Curation Lifecycle management
  • Inform data management plans
  • Data documentation best practice
  • Repository assessment (DRAMBORA tool)
  • Deliver new integrated support services

27
People and Skills
28
Background
  • Recommendations to JISC
  • A study is needed to examine the role and career
    development of data scientists and the associated
    supply of specialist data curation skills to the
    research community.
  • JISC should fund a study to assess the value and
    potential of extending data handling curation and
    preservation skills within the undergraduate and
    postgraduate curriculum.
  • Liz Lyon, Dealing with Data Roles, Rights,
  • Responsibilities and Relationships, (2007)

29
The role of the Library in data-intensive
research is important and a strategic
repositioning of the Library with respect to
research support is now appropriate.
there arenot enough specialised data librarians
yet
Recommendation The research library community
in the UK should work with universities and
research institutes to define properly and to
formalise the role of data librarians, and to
develop a curriculum that ensures a suitable
supply of librarians skilled in data handling.
30
CILIP Update June 2008
Accidental data librarians
Only 5 in the UK???
31
Research Data Forum
  • Bringing diverse communities together
  • Data centre managers, IR managers, librarians,
    funders policy makers
  • Aims Objectives
  • Facilitate co-operation between organisations and
    individuals
  • Exchange experience and best practice
  • November 2008, Manchester UK http//www.dcc.ac.uk/
    data-forum/
  • 2nd joint DCC RIN event

32
Roles and responsibilities for effective data
management
Day 2 (Thursday 27th November) Day 2 (Thursday 27th November) Day 2 (Thursday 27th November)
09.00 Identifying roles JISC report Dr Alma Swan, Key Perspectives
09.30 Data creator Professor Stephen Lawrie, Dept of Psychiatry, University of Edinburgh
09.50 Data scientist Helen Parkinson, EBI
10.10 Data librarian Robin Rice, EDINA,
10.30 Data manager Sam Pepler, BADC
10.50 Coffee
11.15 Professional education and training perspectives Professor Sheila Corrall, Dept of Information Studies, University of Sheffield
11.45 Discussion Identifying core data skills Facilitator Liz Lyon
13.00 Lunch
13.45 Introduction to Breakout Groups 1) Do librarians have the right skills? 2) Ways to up-skill the research community? 3) Sharing skills from data scientists and data managers Graham Pryor, DCC (Chair) Facilitators tbc tbc Stuart Jeffrey, ADS
15.00 Feedback Session
15.30 Discussion
16.00 Way forward and next steps Graham Pryor, DCC
33
DCC Digital Curation 101
  • Curation summer school
  • 6-10 October 2008 _at_ NeSC
  • Lectures hands-on
  • Target participants bench scientists, LIS
    professionals
  • Focussed around the DCC Curation Lifecycle Model
  • Conceptualise, Create and/or Receive, Appraise
    select, Ingest Store, Preserve, Access, Use
    Re-Use, Data Management Plan

34
Open Science
35
http//jiscpowr.jiscinvolve.org/
36
3.Transition or Transform? the Role
  • Multidisciplinary teams, multidisciplinary people
  • Domain ICT library archiving knowledge
  • New roles data librarians, data scientists
  • Skills shortage capacity building needed
  • What core data skills are required?
  • Not in LIS school curriculum? Radical change!
  • Recruit different people to the LIS team
  • Re-brand the LIS career
  • From Librarianship to Informatics

37
Thank you.Slides will be available at
http//www.ukoln.ac.uk/ukoln/staff/e.j.lyon/pre
sentations.html
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