research data management and the research data lifecycle: a gentle introduction
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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
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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
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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
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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
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What is the following?
Page from ships log
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
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New Zealand, October 1769
Captain Cooks logs
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
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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
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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
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Research Data Complexity
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
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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
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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
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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
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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
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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
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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
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Data Archiving
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
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n Mediumn Migration
Medium
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
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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
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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
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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
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Data Management Roles
Some definitions
Data Sharing
Research & ResearchData Lifecycle
Research DataComplexity
Data Archiving
Data ManagementRoles
Conclusion
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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
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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
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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
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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
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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
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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
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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
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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