This document provides a gentle introduction to research data management and the research data lifecycle. It defines key terms like research, research data, and research data lifecycles. It discusses the benefits of data sharing, including enabling new research and testing new hypotheses. Research data can be complex with data, metadata, transformations, and combinations. The document outlines the research data lifecycle from collection to archiving and roles in data management.

1. Research Data Management and the Research Data Lifecycle: a
Gentle Introduction∗
Glen Newton
glen.newton@gmail.com
http://zzzoot.blogspot.com/
CNC/CODATA
November 26 2009
(Updated: April 2010)
∗
Invited speaker to the University of Ottawa School of Information Studies ISI5141 Information
Behaviours and Retrieval, Instructor: Andre Vellino
1 / 66

2. Outline
Some definitions
Some definitions
Data Sharing
Research & Research Data Sharing
Data Lifecycle
Research Data Research & Research Data Lifecycle
Complexity
Data Archiving
Research Data Complexity
Data Management
Roles
Data Archiving
Conclusion Data Management Roles
Conclusion
2 / 66

3. Some definitions
Some definitions
What is:
Data Sharing
Research & Research s Research?
Data Lifecycle
s Research Data?
Research Data
Complexity s Research & Research Data Life Cycles?
Data Archiving
Data Management
Roles
Conclusion
3 / 66

4. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles Data Sharing
Conclusion
4 / 66

5. Data is becoming more important
Some definitions
In the past, more emphasis was given to publications.
Data Sharing
This is changing.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
5 / 66

6. Diepenbroek, M., Schindler, U., Grobe, H. 2008.
PANGAEA - An ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data
http://hdl.handle.net/10013/epic.28613

7. Research Data Disappears
Some definitions
s The status quo is for most research data to (eventually)
Data Sharing
disappear: except for large well organized projects, historically
Research & Research
Data Lifecycle most research data collected has already disappeared.
Research Data s Not through malice, just through mismanagement or more
Complexity
Data Archiving
accurately a lack of management
Data Management
Roles
Conclusion
7 / 66

8. Degradation in information content associated with data and metadata over time
Status quo
Time of publication
Information Content of Data and Metadata
Specific details about problems with individual items or specific
dates of collection are lost relatively rapidly
General details about the data collection are lost
through time
Retirement or career change makes access by
scientists to “mental storage” difficult or unlikely
Accident may destroy Death of investigator and subse-
data and documentation quent loss of remaining records
Time
Newton, 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

9. Why Share data?
Some definitions
s encourages scientific enquiry and debate
Data Sharing
s enables scrutiny of research outcomes
Research & Research
Data Lifecycle s facilitates research beyond the scope of the original research
Research Data s leads to new collaborations between data users and data
Complexity
Data Archiving
creators
Data Management s reduces the cost of duplicating data collection
Roles
s provides important resources for education and training
Conclusion
s encourages the improvement and validation of research
methods
s promotes the research that created the data and its outcomes
s can provide a direct credit to the researcher as a research output
in its own right
9 / 66

10. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research.
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
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. 10 / 66

11. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry,
Complexity
Data Archiving
Data Management
Roles
Conclusion
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. 10 / 66

12. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion,
Data Management
Roles
Conclusion
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. 10 / 66

13. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research,
Data Management
Roles
Conclusion
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. 10 / 66

14. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research, makes
Data Management possible the testing of new or alternative hypotheses and methods of
Roles
analysis,
Conclusion
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. 10 / 66

15. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research, makes
Data Management possible the testing of new or alternative hypotheses and methods of
Roles
analysis, supports studies on data collection methods and
Conclusion
measurement,
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. 10 / 66

16. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research, makes
Data Management possible the testing of new or alternative hypotheses and methods of
Roles
analysis, supports studies on data collection methods and
Conclusion
measurement, 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. 10 / 66

17. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research, makes
Data Management possible the testing of new or alternative hypotheses and methods of
Roles
analysis, supports studies on data collection methods and
Conclusion
measurement, 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. 10 / 66

18. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research, makes
Data Management possible the testing of new or alternative hypotheses and methods of
Roles
analysis, supports studies on data collection methods and
Conclusion
measurement, 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. 10 / 66

19. Benefits of Data Sharing
Some definitions
“Within this new technological context, more widespread and
Data Sharing
efficient access to and sharing of research data will have
Research & Research
Data Lifecycle substantial benefits for public scientific research. Open access to,
Research Data and sharing of, data reinforces open scientific inquiry, encourages
Complexity
Data Archiving
diversity of analysis and opinion, promotes new research, makes
Data Management possible the testing of new or alternative hypotheses and methods of
Roles
analysis, supports studies on data collection methods and
Conclusion
measurement, 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 only
helps to maximize the research potential of new digital technologies
and networks, but provides greater returns from the public
investment 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. 10 / 66

20. Unpredicted re–use
Some definitions
s Data often has value beyond that planned or even imagined by
Data Sharing
the collector of the data
Research & Research
Data Lifecycle s And combining it with other data can often support the
Research Data discovery of emergent processes
Complexity
Data Archiving
Data Management
Roles
Conclusion
11 / 66

21. Unpredicted re–use
Some definitions
What is the following?
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
12 / 66

23. Page from ship’s log
Some definitions
New Zealand, October 1769
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
14 / 66

26. Captain Cook’s logs
Some definitions
His Majestys Bark [a type of ship] Endeavour on Her Passage On
Data Sharing
the Coast of New Zealand from Poverty Bay to Southw
Research & Research
Data Lifecycle October 15th 1769; Course: S 20 ◦ E; Winds: Vary; Location:
Research Data 39◦ 50′ 180◦ 51′ ; Moderate and fair weather...thunder and spitting
Complexity
Data Archiving
rain... — Log 39, page 79. UK National Archives
Data Management
Roles
s Record of date, time, location (lat/long), the sea conditions and
Conclusion
local weather conditions
s Now being mined by JISC, the University of Sunderland, the
Met Office Hadley Centre and the British Atmospheric Data
Centre for climate change research
—http://www.nationalarchives.gov.uk/news/stories/371.htm
17 / 66

28. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles Research & Research Data Lifecycle
Conclusion
19 / 66

29. Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf

30. Humphreys, C. 2006. e-Science and the Life Cycle of Research
http://datalib.library.ualberta.ca/∼humphrey/lifecycle-science060308.doc

31. 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

32. 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

33. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles Research Data Complexity
Conclusion
24 / 66

34. Research Data Complexity
Some definitions
s Data
Data Sharing
s Metadata
Research & Research
Data Lifecycle s Transformations (derived data/metadata), combinations
Research Data s More Metadata
Complexity
Data Archiving
Data Management
Roles
Conclusion
25 / 66

35. Research Data Complexity
Some definitions
Real research projects can have extemely complex data collection
Data Sharing
and management.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
26 / 66

36. Wallis, J. 2008. Moving Archival Practices Upstream: An Exploration of the Life Cycle
of 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

37. Research Data Complexity
Some definitions
Real research projects often have data that is described by many
Data Sharing
metadata standards
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
28 / 66

38. 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

39. Research Data Complexity
Some definitions
As data is transformed, translated, filtered, combined with other
Data Sharing
data in a research data workflow, lineage or provenance metadata
Research & Research
Data Lifecycle can capture the nature of these changes.
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
30 / 66

40. 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

41. Research Data Complexity
Some definitions
Some of these work flows can be very complex.
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
32 / 66

42. 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

43. 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

44. 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

45. 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

46. Research Data Complexity
Some definitions
Some transformations can cause metadata to become data!
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
37 / 66

47. 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

48. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles Data Archiving
Conclusion
39 / 66

49. Data Archiving
Some definitions
s Medium
Data Sharing
s Migration
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
40 / 66

50. Medium
Some definitions
s The physical storage medium – both for analog and digital
Data Sharing
storage of information – has an expected lifespan.
Research & Research
Data Lifecycle s Digital media can deteriorate and alter the underlying data (bits)
Research Data of files well before their expected end of life
Complexity
Data Archiving
Data Management
Roles
Conclusion
41 / 66

51. 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

52. Medium
Some definitions
Any single project can have a number of initial physical media.
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
43 / 66

53. Diepenbroek, M., Schindler, U., Grobe, H. 2008.
PANGAEA - An ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data
http://hdl.handle.net/10013/epic.28613

54. Migration
Some definitions
s Before the end–of–life of a medium, its contents need to be
Data Sharing
copied reliably (bits verified) to a new medium (the same kind
Research & Research
Data Lifecycle or different)
Research Data s The provenance metadata needs to be updated when this occurs
Complexity
Data Archiving
s Sometimes the ability to read the old medium is difficult or not
Data Management possible, as the technology has progressed and due to the lack
Roles
of availability of the appropriate working readers (i.e. 9–track
Conclusion
tape readers)
45 / 66

55. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles Data Management Roles
Conclusion
46 / 66

56. Data Management Roles
Some definitions
Understanding roles in the research data workflow is helpful in
Data Sharing
succcessfully managing data.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
47 / 66

57. Data Management Roles
Some definitions
One view:
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
48 / 66

58. 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

59. Roles & Responsibilities: Another view
Some definitions
s Scientist: creation and use of data
Data Sharing
s Institution: curation of and access to data
Research & Research
Data Lifecycle s Data centre: curation of and access to data
Research Data s User: use of 3rd party data
Complexity
Data Archiving
s Funder: set/react to public policy drivers
Data Management s Publisher: maintain integrity of the scientific record
Roles
Conclusion Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
50 / 66

60. Roles & Responsibilities: Scientist
Some definitions s Rights:
Data Sharing
Research & Research
x Of first use.
Data Lifecycle x To be acknowledged.
Research Data x To expect IPR to be honoured.
Complexity
x To receive data training and advice.
Data Archiving
Data Management s Responsibilities:
Roles
Conclusion
x Manage data for life of project.
x Meet standards for good practice.
x Comply with funder / institutional data policies and respect IPR
of others.
x Work up data for use by others.
s Relationships:
x With institution as employee.
x With subject community
x With data centre.
x With funder of work.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
51 / 66
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf

61. Roles & Responsibilities: Institution
Some definitions s Rights:
Data Sharing
Research & Research
x To be offered a copy of data.
Data Lifecycle
s Responsibilities:
Research Data
Complexity
x Set internal data management policy.
Data Archiving
x Manage data in the short term.
Data Management
Roles
x Meet standards for good practice.
Conclusion
x Provide training and advice to support scientists.
x Promote the repository service.
s Relationships:
x With scientist as employer.
x With data centre through expert staff.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
52 / 66

62. Roles & Responsibilities: Data Centre
Some definitions s Rights:
Data Sharing
Research & Research
x To be offered a copy of data.
Data Lifecycle x To select data of long-term value.
Research Data
Complexity s Responsibilities:
Data Archiving
x Manage data for the long-term.
Data Management
Roles
x Meet standards for good practice.
Conclusion
x Provide training for deposit.
x Promote the repository service.
x Protect rights of data contributors.
x Provide tools for re-use of data.
s Relationships:
x With scientist as client
x With user communities.
x With institution through expert staff.
x With funder of service.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf 53 / 66

63. Roles & Responsibilities: User
Some definitions s Rights:
Data Sharing
Research & Research
x To re-use data (non-exclusive licence).
Data Lifecycle x To access quality metadata to inform usability.
Research Data
Complexity s Responsibilities:
Data Archiving
x Abide by licence conditions.
Data Management
Roles
x Acknowledge data creators / curators.
Conclusion
x Manage derived data effectively.
s Relationships:
x With data centre as supplier.
x With institution as supplier.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
54 / 66

64. Roles & Responsibilities: Funder (1/2)
Some definitions s Rights:
Data Sharing
Research & Research
x To implement data policies.
Data Lifecycle x To require those they fund to meet policy obligations.
Research Data
Complexity s Responsibilities:
Data Archiving
x Consider wider public-policy perspective & stakeholder needs.
Data Management
Roles
x Participate in strategy co-ordination.
Conclusion
x Develop policies with stakeholders.
x Participate in policy co-ordination, joint planning & fund service
delivery.
x Monitor and enforce data policies.
x Resource post-project long-term data management.
x Act as advocate for data curation & fund expert advisory
service(s).
x Support workforce capacity development of data curators.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
55 / 66

65. Roles & Responsibilities: Funder (2/2)
Some definitions s Relationships:
Data Sharing
Research & Research
x With scientist as funder.
Data Lifecycle x With institution.
Research Data x With data centre as funder.
Complexity
x With other funders.
Data Archiving
x With other stakeholders as policy-maker and funder of services.
Data Management
Roles
Conclusion
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
56 / 66

66. Roles & Responsibilities: Publisher
Some definitions s Rights:
Data Sharing
Research & Research
x To expect data are available to support publication.
Data Lifecycle x To request pre-publication data deposit in long-term repository.
Research Data
Complexity s Responsibilities:
Data Archiving
x Engage stakeholders in development of publication standards.
Data Management
Roles
x Link to data to support publication standards.
Conclusion
x Monitor & enforce public. standards.
s Relationships:
x With scientist as creator, author and reader.
x With data centres and institutions as suppliers.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
57 / 66

67. Research Lifecycle
Some definitions
The Research Lifecycle needs to evolve to support Data
Data Sharing
Management...
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
58 / 66

68. 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

69. 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

70. 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

71. Diepenbroek, M., Schindler, U., Grobe, H. 2008.
PANGAEA - An ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data
http://hdl.handle.net/10013/epic.28613

72. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management
Roles Conclusion
Conclusion
63 / 66

73. Conclusion
Some definitions
Not covered (brief introduction to...):
Data Sharing
Research & Research s Research Data Plan
Data Lifecycle
s Barriers to sharing
Research Data
Complexity s Data formats
Data Archiving s In–depth data and metadata examples
Data Management
Roles
s National Consultation Access to Scientific Research Data
Conclusion
(2004)
s Research Data Canada
64 / 66

74. Acknowledgments
Some definitions
s This presentation is derived from an yet–uncompleted
Data Sharing
CNC/CODATA course: “Data Management for Scientists”
Research & Research
Data Lifecycle s Paul Budkewitsch, Larry Speers co–authors on this course
Research Data
Complexity
Data Archiving
Data Management
Roles
Conclusion
65 / 66

75. Contact and license
Some definitions
s Contact: Glen Newton glen.newton@gmail.com
Data Sharing
s License: Creative Commons
Research & Research
Data Lifecycle Attribution-Noncommercial-Share Alike 2.5 Canada License;
Research Data Paternit-Pas d’Utilisation Commerciale-Partage des
Complexity
Data Archiving
Conditions Initiales l’Identique 2.5 Canada
Data Management s Copyright: c 2009 National Research Council;
Roles
c 2010 Glen Newton and National Research Council
Conclusion
s Note: Various components copyright their respective owners
66 / 66