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 introduction

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    Research Data Management and the Research Data Lifecycle: a Gentle Introduction Research Data Management and the Research Data Lifecycle: a Gentle Introduction Presentation Transcript

    • 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
    • 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
    • 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
    • Some definitions Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Data Sharing Conclusion 4 / 66
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • Some definitions Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Research & Research Data Lifecycle Conclusion 19 / 66
    • 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
    • Humphreys, C. 2006. e-Science and the Life Cycle of Research http://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
    • Some definitions Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Research Data Complexity Conclusion 24 / 66
    • 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
    • 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
    • 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
    • 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
    • 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 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
    • 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 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
    • 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 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
    • 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
    • Some definitions Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Data Archiving Conclusion 39 / 66
    • 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
    • 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
    • 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 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
    • 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
    • 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
    • Some definitions Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Data Management Roles Conclusion 46 / 66
    • 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
    • Data Management Roles Some definitions One view: Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Conclusion 48 / 66
    • 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 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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 ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data http://hdl.handle.net/10013/epic.28613
    • Some definitions Data Sharing Research & Research Data Lifecycle Research Data Complexity Data Archiving Data Management Roles Conclusion Conclusion 63 / 66
    • 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
    • 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
    • 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