Research Data Management and the Research Data Lifecycle: a
Gentle Introduction
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Research Data Management and the Research Data Lifecycle:
aGentle Introduction
Glen [email protected]
http://zzzoot.blogspot.com/CNC/CODATA
November 26 2009(Updated: April 2010)
Invited speaker to the University of Ottawa School of
Information Studies ISI5141 InformationBehaviours and Retrieval,
Instructor: Andre Vellino
Outline
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
2 / 66
Some definitionsData SharingResearch & Research Data
LifecycleResearch Data ComplexityData ArchivingData Management
Roles
Conclusion
Some definitions
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
3 / 66
What is:n Research?n Research Data?n Research & Research
Data Life Cycles?
Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
4 / 66
Data is becoming more important
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
5 / 66
In the past, more emphasis was given to publications.This is
changing.
Diepenbroek, M., Schindler, U., Grobe, H. 2008.PANGAEA - An
ICSUWorld Data Center as a Networked Publication and Library System
for Geoscientific Data
http://hdl.handle.net/10013/epic.28613
Research Data Disappears
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
7 / 66
n The status quo is for most research data to
(eventually)disappear: except for large well organized projects,
historically
most research data collected has already disappeared.n Not
through malice, just through mismanagement or more
accurately a lack of management
Degradation in information content associated with data and
metadata over timeStatus quo
Time of publication
Specific details about problems with individual items or
specificdates of collection are lost relatively rapidly
General details about the data collection are lostthrough
time
Accident may destroydata and documentation
Retirement or career change makes access byscientists to mental
storage difficult or unlikely
Death of investigator and subse-quent loss of remaining
records
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TimeNewton, G. 2009. After Michener et al. 1997, Ecological
Applications 7:1:330-342
DOI 10.1890/1051-0761(1997)007[0330:NMFTES]2.0.CO;2
Why Share data?
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
9 / 66
n encourages scientific enquiry and debaten enables scrutiny of
research outcomesn facilitates research beyond the scope of the
original research
n leads to new collaborations between data users and
datacreators
n reduces the cost of duplicating data collectionn provides
important resources for education and trainingn encourages the
improvement and validation of research
methodsn promotes the research that created the data and its
outcomesn can provide a direct credit to the researcher as a
research output
in its own right
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research.
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific
inquiry,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new
research,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new research,
makespossible the testing of new or alternative hypotheses and
methods ofanalysis,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new research,
makespossible the testing of new or alternative hypotheses and
methods ofanalysis, supports studies on data collection methods
andmeasurement,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new research,
makespossible the testing of new or alternative hypotheses and
methods ofanalysis, supports studies on data collection methods
andmeasurement, facilitates the education of new researchers,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new research,
makespossible the testing of new or alternative hypotheses and
methods ofanalysis, supports studies on data collection methods
andmeasurement, facilitates the education of new researchers,
enables
the exploration of topics not envisioned by the initial
investigators,
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new research,
makespossible the testing of new or alternative hypotheses and
methods ofanalysis, supports studies on data collection methods
andmeasurement, facilitates the education of new researchers,
enables
the exploration of topics not envisioned by the initial
investigators,and permits the creation of new data sets when data
from multiple
sources are combined.
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Benefits of Data Sharing
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
10 / 66
Within this new technological context, more widespread
andefficient access to and sharing of research data will
havesubstantial benefits for public scientific research. Open
access to,and sharing of, data reinforces open scientific inquiry,
encouragesdiversity of analysis and opinion, promotes new research,
makespossible the testing of new or alternative hypotheses and
methods ofanalysis, supports studies on data collection methods
andmeasurement, facilitates the education of new researchers,
enables
the exploration of topics not envisioned by the initial
investigators,and permits the creation of new data sets when data
from multiple
sources are combined.Sharing and open access to publicly funded
research data not onlyhelps to maximize the research potential of
new digital technologiesand networks, but provides greater returns
from the publicinvestment in research.
OECD. 2003. Promoting Access to Public Research Data for
Scientific, Economic, and Social Development: OECD
Follow Up Group on Issues of Access to Publicly Funded Research
Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
Unpredicted reuse
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
11 / 66
n Data often has value beyond that planned or even imagined
bythe collector of the data
n And combining it with other data can often support
thediscovery of emergent processes
Unpredicted reuse
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
12 / 66
What is the following?
Page from ships log
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
14 / 66
New Zealand, October 1769
Captain Cooks logs
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
17 / 66
His Majestys Bark [a type of ship] Endeavour on Her Passage
Onthe Coast of New Zealand from Poverty Bay to SouthwOctober 15th
1769; Course: S 20 E; Winds: Vary; Location:
39
50
180
51; Moderate and fair weather...thunder and spitting
rain... Log 39, page 79. UK National Archives
n Record of date, time, location (lat/long), the sea conditions
andlocal weather conditions
n Now being mined by JISC, the University of Sunderland, theMet
Office Hadley Centre and the British Atmospheric DataCentre for
climate change
researchhttp://www.nationalarchives.gov.uk/news/stories/371.htm
Research & Research Data Lifecycle
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
19 / 66
Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Humphreys, C. 2006. e-Science and the Life Cycle of
Researchhttp://datalib.library.ualberta.ca/humphrey/lifecycle-science060308.doc
Lord, P., A. Macdonald, L. Lyon & D. Giarretta. 2004.From
Data Deluge to Data Curation. In Proceedings of the UK
e-science
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/150.pdf
Pepe,A. & Mayernik, M & Borgman, C. & Van de Sompel,
H.Technology to Represent Scientific Practice: Data, Life Cycles,
and Value Chains
http://arxiv.org/abs/0906.2549
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
24 / 66
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
25 / 66
n Datan Metadatan Transformations (derived data/metadata),
combinationsn More Metadata
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
26 / 66
Real research projects can have extemely complex data
collectionand management.
Wallis, J. 2008. Moving Archival Practices Upstream: An
Exploration of the Life Cycleof Ecological Sensing Data in
Collaborative Field Research Lineage
Retrieval for Scientific Data Processing: A Survey.The
International Journal of Digital Curation 1:3
http://www.ijdc.net/index.php/ijdc/article/view/67
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
28 / 66
Real research projects often have data that is described by
manymetadata standards
Brandt, D.S. 2007. Data, research, metadata,
metaresearch.ACRL/STS, ALA annual meeting
http://ala.org/ala/mgrps/divs/acrl/about/sections/sts/programs/annual2007programs/brandt.pdf
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
30 / 66
As data is transformed, translated, filtered, combined with
otherdata in a research data workflow, lineage or provenance
metadatacan capture the nature of these changes.
Bose, R. & Frew, J. 2005. Lineage Retrieval for Scientific
Data Processing: A Survey.ACM Computing Surveys 37:1
http://dx.doi.org/10.1145/1057977.1057978
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
32 / 66
Some of these work flows can be very complex.
Davidson, S. & Freire, J. 2008. Provenance and scientific
workflows: challenges and opportunities.SIGMOD 08: Proceedings of
the 2008 ACM SIGMOD International Conference on Management of
Data
http://dx.doi.org/10.1145/1376616.1376772
Freire,J. & Koop, D. & Santos, E. & Silva, C.T.
2008. Provenance for Computational Tasks: A Survey.Computing in
Science & Engineering
http://dx.doi.org/10.1109/MCSE.2008.79
Barga, R. & Digiampietri,L. 2008. Automatic capture and
efficient storage of e-Science experiment provenance.Concurrency
and Computation: Practice and Experience 20:5:419-429
http://dx.doi.org/10.1002/cpe.1235
Bowers, S. & McPhillips, T. & Ludscher, B. 2008.
Provenance in collection-oriented scientific workflows.Concurrency
and Computation: Practice and Experience 20:5:519-529
http://dx.doi.org/10.1002/cpe.1235
Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
37 / 66
Some transformations can cause metadata to become data!
Jones, M. and Schildhauer, P. and Reichman, O. and Bowers,
Shawn. 2006.The New Bioinformatics: Integrating Ecological Data
from the Gene to the Biosphere.
Annual Review of Ecology, Evolution, and Systematics
37:1:519-544.http://dx.doi.org/10.1146/annurev.ecolsys.37.091305.110031
Data Archiving
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
39 / 66
Data Archiving
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
40 / 66
n Mediumn Migration
Medium
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
41 / 66
n The physical storage medium both for analog and digitalstorage
of information has an expected lifespan.
n Digital media can deteriorate and alter the underlying data
(bits)of files well before their expected end of life
Miller, S. 2002. Bridging the Gap between Libraries and Data
Archives: Progress Report.Presentation at Joint Informations
Systems Committee (JISC, UK) and NSF Digital Libraries Initiative
All Projects Meeting, Edinburgh, Scotland.
http://gdc.ucsd.edu:8080/digarch/about-project/presentations/edinburgh2002/view
Medium
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
43 / 66
Any single project can have a number of initial physical
media.
Diepenbroek, M., Schindler, U., Grobe, H. 2008.PANGAEA - An
ICSUWorld Data Center as a Networked Publication and Library System
for Geoscientific Data
http://hdl.handle.net/10013/epic.28613
Migration
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
45 / 66
n Before the endoflife of a medium, its contents need to
becopied reliably (bits verified) to a new medium (the same kindor
different)
n The provenance metadata needs to be updated when this occursn
Sometimes the ability to read the old medium is difficult or
not
possible, as the technology has progressed and due to the lackof
availability of the appropriate working readers (i.e. 9track
tape readers)
Data Management Roles
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
46 / 66
Data Management Roles
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
47 / 66
Understanding roles in the research data workflow is helpful
insucccessfully managing data.
Data Management Roles
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
48 / 66
One view:
Pryor, G. & Donnelly, M. 2009. Skilling Up to Do Data: Whose
Role, Whose Responsibility, Whose Career?International Journal of
Digital Curation 4:2
http://www.ijdc.net/index.php/ijdc/article/view/126
Roles & Responsibilities: Another view
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
50 / 66
n Scientist: creation and use of datan Institution: curation of
and access to data
n Data centre: curation of and access to datan User: use of 3rd
party datan Funder: set/react to public policy drivers
n Publisher: maintain integrity of the scientific record
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: Scientist
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
51 / 66
n Rights:u Of first use.u To be acknowledged.u To expect IPR to
be honoured.u To receive data training and advice.
n Responsibilities:u Manage data for life of project.u Meet
standards for good practice.u Comply with funder / institutional
data policies and respect IPR
of others.u Work up data for use by others.
n Relationships:u With institution as employee.u With subject
communityu With data centre.u With funder of work.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: Institution
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
52 / 66
n Rights:u To be offered a copy of data.
n Responsibilities:u Set internal data management policy.u
Manage data in the short term.u Meet standards for good practice.u
Provide training and advice to support scientists.u Promote the
repository service.
n Relationships:u With scientist as employer.u With data centre
through expert staff.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: Data Centre
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
53 / 66
n Rights:u To be offered a copy of data.u To select data of
long-term value.
n Responsibilities:u Manage data for the long-term.u Meet
standards for good practice.u Provide training for deposit.u
Promote the repository service.u Protect rights of data
contributors.u Provide tools for re-use of data.
n Relationships:u With scientist as clientu With user
communities.u With institution through expert staff.u With funder
of service.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: User
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
54 / 66
n Rights:u To re-use data (non-exclusive licence).u To access
quality metadata to inform usability.
n Responsibilities:u Abide by licence conditions.u Acknowledge
data creators / curators.u Manage derived data effectively.
n Relationships:u With data centre as supplier.u With
institution as supplier.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: Funder (1/2)
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
55 / 66
n Rights:u To implement data policies.u To require those they
fund to meet policy obligations.
n Responsibilities:u Consider wider public-policy perspective
& stakeholder needs.
u Participate in strategy co-ordination.u Develop policies with
stakeholders.u Participate in policy co-ordination, joint planning
& fund service
delivery.u Monitor and enforce data policies.u Resource
post-project long-term data management.u Act as advocate for data
curation & fund expert advisory
service(s).u Support workforce capacity development of data
curators.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: Funder (2/2)
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
56 / 66
n Relationships:u With scientist as funder.u With institution.u
With data centre as funder.u With other funders.u With other
stakeholders as policy-maker and funder of services.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Roles & Responsibilities: Publisher
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
57 / 66
n Rights:u To expect data are available to support publication.u
To request pre-publication data deposit in long-term
repository.
n Responsibilities:u Engage stakeholders in development of
publication standards.
u Link to data to support publication standards.u Monitor &
enforce public. standards.
n Relationships:u With scientist as creator, author and reader.u
With data centres and institutions as suppliers.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights,
Responsibilities and
Relationshipshttp://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing
with data report-final.pdf
Research Lifecycle
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
58 / 66
The Research Lifecycle needs to evolve to support
DataManagement...
Lord, P., A. Macdonald, L. Lyon & D. Giarretta. 2004.From
Data Deluge to Data Curation. In Proceedings of the UK
e-science
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/150.pdf
Lord, P., A. Macdonald, L. Lyon & D. Giarretta. 2004.From
Data Deluge to Data Curation. In Proceedings of the UK
e-science
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/150.pdf
Lord, P., A. Macdonald, L. Lyon & D. Giarretta. 2004.From
Data Deluge to Data Curation. In Proceedings of the UK
e-science
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/150.pdf
Diepenbroek, M., Schindler, U., Grobe, H. 2008.PANGAEA - An
ICSUWorld Data Center as a Networked Publication and Library System
for Geoscientific Data
http://hdl.handle.net/10013/epic.28613
Conclusion
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
63 / 66
Conclusion
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
64 / 66
Not covered (brief introduction to...):n Research Data Plann
Barriers to sharingn Data formatsn Indepth data and metadata
examplesn National Consultation Access to Scientific Research
Data
(2004)n Research Data Canada
Acknowledgments
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
65 / 66
n This presentation is derived from an yetuncompletedCNC/CODATA
course: Data Management for Scientists
n Paul Budkewitsch, Larry Speers coauthors on this course
Contact and license
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
66 / 66
n Contact: Glen Newton [email protected] License: Creative
Commons
Attribution-Noncommercial-Share Alike 2.5 Canada
License;Paternit-Pas dUtilisation Commerciale-Partage des
Conditions Initiales lIdentique 2.5 Canadan Copyright: c2009
National Research Council;
c2010 Glen Newton and National Research Counciln Note: Various
components copyright their respective owners
OutlineSome definitionsSome definitions
Data SharingData is becoming more importantResearch Data
LifecycleResearch Data DisappearsfooWhy Share data?Benefits of Data
SharingUnpredicted re--useUnpredicted re--usefooPage from ship's
logfoofooCaptain Cook's logsfoo
Research & Research Data LifecycleResearch Data
LifecycleResearch Data LifecycleResearch LifecycleResearch
Lifecycle
Research Data ComplexityResearch Data ComplexityResearch Data
ComplexityDataResearch Data ComplexityMore MetadataResearch Data
ComplexityMore MetadataResearch Data ComplexityMore MetadataMore
MetadataMore MetadataMore MetadataResearch Data ComplexityMore
Metadata
Data ArchivingData ArchivingMediumResearch Data
LifecycleMediumResearch Data LifecycleMigration
Data Management RolesData Management RolesData Management
RolesRoles: One viewRoles & Responsibilities: Another viewRoles
& Responsibilities: ScientistRoles & Responsibilities:
InstitutionRoles & Responsibilities: Data CentreRoles &
Responsibilities: UserRoles & Responsibilities: Funder
(1/2)Roles & Responsibilities: Funder (2/2)Roles &
Responsibilities: PublisherResearch LifecycleResearch
LifecycleResearch LifecycleResearch LifecycleResearch Data
Lifecycle
ConclusionConclusionAcknowledgmentsContact and license