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Forschungsdaten-Repositorien
Stand und Perspektive



Heinz Pampel, Deutsches GeoForschungsZentrum GFZ

5. Kongress Bibliothek & Information Deutschland, Leipzig, 11.03.2013   	
  
Agenda


•    Hintergrund
•    Forschungsdaten-Repositorien
•    „Intelligent Openness“
•    Herausforderungen
Agenda


•    Hintergrund
•    Forschungsdaten-Repositorien
•    „Intelligent Openness“
•    Herausforderungen
Zugangsbarrieren
•       „The overwhelming majority of respondents
        (87 %) either disagree or disagree strongly with
        the statement that ‘there is NO access problem
        to research data’. Just 6 % of respondents have
        no opinion, another 6 % agree with the state-
        ment and only 1 % agree strongly.“
 European Commission. (2012). Online survey on scientific information in the digital age. Luxembourg: Publications Office of the European Union.
 Retrieved from http://ec.europa.eu/research/science-society/document_library/pdf_06/survey-on-scientific-information-digital-age_en.pdf
Zugangsbarrieren




Payne, D. (2012). Tamiflu: the battle for secret drug data. BMJ, 345(oct29 2), e7303–e7303. doi:10.1136/bmj.e7303
The Royal Society

                    „Where data justify it,
                    scientists should make
                    them available in an
                    appropriate data
                    repository. “


                The Royal Society. (2012). Science as an open enterprise. The Royal Society Science
                Policy Centre report 02/12. Retrieved from http://royalsociety.org/uploadedFiles/
                Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE.pdf
US-Directive
                                                                      „digitally formatted
                                                                      scientific data resulting
                                                                      from unclassified
                                                                      research supported
                                                                      wholly or in part by
                                                                      Federal funding should
                                                                      be stored and publicly
                                                                      accessible to search,
                                                                      retrieve, and analyze. “
Office of Science and Technology Policy. (2013). Increasing Access to the Results of Federally Funded Scientific Research. Retrieved from http://
www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
EC-Empfehlung
                                                                         „Ensure that, as a result
                                                                         of these policies:
                                                                         research data that result
                                                                         from publicly funded
                                                                         research become
                                                                         publicly accessible,
                                                                         usable and re-usable
                                                                         through digital e-
                                                                         infrastructures “
European Commission. (2012). Commission Recommendation on access to and preservation of scientific information. C(2012) 4890 final. Retrieved from http://
ec.europa.eu/research/science-society/document_library/pdf_06/recommendation-access-and-preservation-scientific-information_en.pdf
Data Policies: Förderorganisationen
•         NIH, 2003
     •     „The NIH endorses the sharing of final research data to serve these and other important scientific
           goals. The NIH expects and supports the timely release and sharing of final research data from NIH-
           supported studies for use by other researchers. Starting with the October 1, 2003 receipt date,
           investigators submitting an NIH application seeking $500,000 or more in direct costs in any single
           year are expected to include a plan for data sharing or state why data sharing is not possible. “

•         DFG, 2012
     •     „Wenn aus Projektmitteln systematisch (Mess-)Daten erhoben werden, die für die Nachnutzung
           geeignet sind, legen Sie bitte dar, welche Maßnahmen ergriffen wurden bzw. während der Laufzeit
           des Projektes getroffen werden, um die Daten nachhaltig zu sichern und ggf. für eine erneute
           Nutzung bereit zu stellen. Bitte berücksichtigen Sie dabei auch - sofern vorhanden - die in Ihrer
           Fachdisziplin existierenden Standards und die Angebote bestehender Datenrepositorien. “
Data Policies: Journals
•         Nature, 2011
     •     „Data sets must be made freely available to readers from the date of publication, and must be
           provided to editors and peer-reviewers at submission, for the purposes of evaluating the manuscript.
           For the following types of data set, submission to a community-endorsed, public repository is
           mandatory. Accession numbers must be provided in the paper. Examples of appropriate public
           repositories are listed below.“

•         AGU, 1996
     •     „Data sets cited in AGU publications must meet the same type of standards for public access and
           long-term availability as are applied to citations to the scientific literature. Thus data cited in AGU
           publications must be permanently archived in a data center or centers that meet the following
           conditions: a) are open to scientists throughout the world. b) are committed to archiving data sets
           indefinitely. c) provide services at reasonable costs.“
Zurückhaltung in der Wissenschaft
•    Campbell, E. G., Clarridge, B. R., Gokhale, M., Birenbaum, L., Hilgartner, S., Holtzman, N. A., & Blumenthal,
     D. (2002). Data Withholding in Academic Genetics. Evidence From a National Survey. JAMA: The Journal
     of the American Medical Association, 287(4), 473–480. doi:10.1001/jama.287.4.473

•    Kuipers, T., & Van der Hoeven, J. (2009). Insight into digital preservation of research output in Europe.
     Survey Report. Retrieved from http://www.parse-insight.eu/downloads/PARSE-
     Insight_D3-4_SurveyReport_final_hq.pdf

•    Schäfer, A., Pampel, H., Pfeiffenberger, H., Dallmeier-Tiessen, S., Tissari, S., Darby, R., Giaretta, K., et al.
     (2011). Baseline Report on Drivers and Barriers in Data Sharing. Retrieved from http://
     www.alliancepermanentaccess.org/wp-content/uploads/downloads/2011/11/ODE-WP3-
     DEL-0002-1_0_public_final.pdf
•    Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., Manoff, M., et al. (2011). Data Sharing
     by Scientists: Practices and Perceptions. PLoS ONE, 6(6), e21101. doi:10.1371/journal.pone.0021101
•    Wicherts, J. M., Borsboom, D., Kats, J., & Molenaar, D. (2006). The poor availability of psychological
     research data for reanalysis. American Psychologist, 61(7), 726–728. doi:10.1037/0003-066X.61.7.726
Potenzial für die Wissenschaft




                        Ramsden, C. E., Zamora, D., Leelarthaepin, B.,
                        Majchrzak-Hong, S. F., Faurot, K. R., Suchindran, C. M.,
                        Ringel, A., et al. (2013). Use of dietary linoleic acid for
                        secondary prevention of coronary heart disease and
                        death: evaluation of recovered data from the Sydney
                        Diet Heart Study and updated meta-analysis. BMJ,
                        346(feb04 3), e8707–e8707. doi:10.1136/bmj.e8707
Barrieren überwinden




Dallmeier-Tiessen, S., Darby, R., Gitmans, K., Herterich, P., Lambert, S., Mele, S., Nordling, J., et al. (2012). Summary of the studies,
thematic publications and recommendations. Retrieved from http://www.alliancepermanentaccess.org/wp-content/plugins/download-
monitor/download.php?id=Summary+of+the+studies%2C+thematic+publications+and+recommendations
Agenda


•    Hintergrund
•    Forschungsdaten-Repositorien
•    „Intelligent Openness“
•    Herausforderungen
Definition
•    Die Landschaft der Forschungsdaten-Repositorien ist äußerst
     heterogen.
•    Es gibt deutliche Unterschiede zur Landschaft der Text-Repositorien,
     die durch die Open Archives Initiative (OAI) geprägt ist.
•    Forschungsdaten-Repositorien sind häufig durch Fach-Communities
     und deren Infrastrukturanbieter geprägt.
•    Ein Forschungsdaten-Repositorium ist eine Infrastruktur, die das Ziel
     verfolgt, Forschungsdaten möglichst dauerhaft zugänglich zu machen.
•    Ausrichtung und Services variieren stark.
Disziplinäre Daten-Repositorien




Dryad, http://datadryad.org

                              PANGAEA, http://www.pangaea.de
Projektbezogene Daten-Repositorien




SDDB, http://www.scientificdrilling.org

                                          BDPP, http://www.digitalpantheon.ch
Institutionelle Daten-Repositorien




PURR, http://research.hub.purdue.edu

                                       Open Data LMU, http://data.ub.uni-muenchen.de
Generische Daten-Repositorien




       Figshare, http://figshare.com
Blick in die Biomedizin




Fernández-Suárez, X. M., & Galperin, M.Y. (2013). The 2013 Nucleic Acids Research Database Issue and the online molecular biology database collection. Nucleic Acids Research,
41(Database issue), D1–7. doi:10.1093/nar/gks1297
Agenda


•    Hintergrund
•    Forschungsdaten-Repositorien
•    „Intelligent Openness“
•    Herausforderungen
„Intelligent Openness“
 Terms          Definition

 accessible     Data must be located in such a manner that it can readily be found and in a
                form that can be used.

 assessable     In a state in which judgments can be made as to the data or information’s
                reliability. Data must provide an account of the results of scientific work that is
                intelligible to those wishing to under- stand or scrutinise them. Data must
                therefore be differentiated for different audiences.
 intelligible   Comprehensive for those who wish to scrutinise something. Audiences need
                to be able to make some judgment or assessment of what is communicated.
                They will need to judge the nature of the claims made. They should be able to
                judge the competence and reliability of those making the claims. Assessability
                also includes the disclosure of attendant factors that might influence public
                trust.
 useable        In a format where others can use the data or information. Data should be able
                to be reused, often for different purposes, and therefore will require proper
                background information and meta- data. The usability of data will also depend
                on those who wish to use them.
„Intelligent Openness“
 Terms          Definition

 accessible     Data must be located in such a manner that it can readily be found and in a
                form that can be used.

 assessable     In a state in which judgments can be made as to the data or information’s
                reliability. Data must provide an account of the results of scientific work that is
                intelligible to those wishing to under- stand or scrutinise them. Data must
                therefore be differentiated for different audiences.
 intelligible   Comprehensive for those who wish to scrutinise something. Audiences need
                to be able to make some judgment or assessment of what is communicated.
                They will need to judge the nature of the claims made. They should be able to
                judge the competence and reliability of those making the claims. Assessability
                also includes the disclosure of attendant factors that might influence public
                trust.
 useable        In a format where others can use the data or information. Data should be able
                to be reused, often for different purposes, and therefore will require proper
                background information and meta- data. The usability of data will also depend
                on those who wish to use them.
„Intelligent Openness“
•    Wann soll ich meine Daten zugänglich machen?
•    Wie soll ich meine Daten zugänglich machen?
•    Wo soll ich meine Daten zugänglich machen?




                                                    RRZE Icon Set (CC: BY-SA)
„Intelligent Openness“
•        Wann soll ich meine Daten zugänglich machen?
•        Wie soll ich meine Daten zugänglich machen?
•        Wo soll ich meine Daten zugänglich machen?




     http://dx.doi.org/10.3334/CDIAC/GCP_V2012
                                                        RRZE Icon Set (CC: BY-SA)
„Intelligent Openness“
•         Wann soll ich meine Daten zugänglich machen?
•         Wie soll ich meine Daten zugänglich machen?
•         Wo soll ich meine Daten zugänglich machen?




     http://dx.doi.org/10.3334/CDIAC/GCP_V2012
                                        http://dx.doi.org/10.5194/essdd-5-1107-2012   RRZE Icon Set (CC: BY-SA)
„Intelligent Openness“
•         Wann soll ich meine Daten zugänglich machen?
•         Wie soll ich meine Daten zugänglich machen?
•         Wo soll ich meine Daten zugänglich machen?




     http://dx.doi.org/10.3334/CDIAC/GCP_V2012                                    http://dx.doi.org/10.1038/nclimate1783
                                        http://dx.doi.org/10.5194/essdd-5-1107-2012                                        RRZE Icon Set (CC: BY-SA)
„Intelligent Openness“
•         Wann soll ich meine Daten zugänglich machen?
•         Wie soll ich meine Daten zugänglich machen?
•         Wo soll ich meine Daten zugänglich machen?




     http://dx.doi.org/10.3334/CDIAC/GCP_V2012                                    http://dx.doi.org/10.1038/nclimate1783
                                        http://dx.doi.org/10.5194/essdd-5-1107-2012                                        RRZE Icon Set (CC: BY-SA)
Agenda


•    Hintergrund
•    Forschungsdaten-Repositorien
•    „Intelligent Openness“
•    Herausforderungen
re3data.org: Aspekte
Anerkennung des „Data Sharings“
•            Wissenschaftsrat (WR):




•            National Science Foundation (NSF):




     National Science Foundation. (2013). GPG Summary of Changes. Retrieved from http://nsf.gov/pubs/policydocs/pappguide/nsf13001/gpg_sigchanges.jsp
     Wissenschaftsrat. (2012). Empfehlungen zur Weiterentwickung der wissenschaftlichen Informationsinfrastrukturen in Deutschland bis 2020 (Drs. 2359-12).
     Retrieved from http://www.wissenschaftsrat.de/download/archiv/2359-12.pdf
Finanzierung der Repositorien
•    Geschäftsmodelle




                           Baker, M. (2012). Databases fight funding
                           cuts. Nature, 489(7414), 19–19. doi:
                           10.1038/489019a
Finanzierung der Repositorien
•    Geschäftsmodelle




                           Markley, J. L., Akutsu, H., Asakura, T.,
                           Baldus, M., Boelens, R., Bonvin, A.,
                           Kaptein, R., et al. (2012). In support of
                           the BMRB. Nature structural &
                           molecular biology, 19(9), 854–60. doi:
                           10.1038/nsmb.2371
Finanzierung der Repositorien
•    Geschäftsmodelle




                           Beagrie, C. (2011). Keeping Research
                           Data Safe Factsheet. Cost issues in digital
                           preservation of research data. Retrieved
                           from http://www.beagrie.com/
                           KRDS_Factsheet_0711.pdf
Finanzierung der Repositorien
•    Geschäftsmodelle




                           Kommission Zukunft der
                           Informationsinfrastruktur. (2011).
                           Gesamtkonzept für die
                           Informationsinfrastruktur in
                           Deutschland. Retrieved from http://
                           www.allianz-initiative.de/fileadmin/
                           user_upload/KII_Gesamtkonzept.pdf
Vertrauenswürdige Repositorien
•         Auditierung und Zertifizierung
     •     Braun, K., et al. (2010). DINI-Zertifikat Dokumenten- und Publikationsservice 2010 (3.0 ed.). Göttingen.
           Retrieved from http://nbn-resolving.de/urn:nbn:de:kobv:11-100109986
     •     Consultative Committee for Space Data Systems (CCSDS). Audit and Certification of Trustworthy Digital
           Repositories. Recommended Practice. CCSDS 652.0-M-1. Magenta Book. Practice. Retrieved from http://
           public.ccsds.org/publications/archive/652x0m1.pdf >> ISO-Norm 16363
     •     Data Seal of Approval. (2010). Data Seal of Approval. Guidelines version 1. Retrieved from http://
           assessment.datasealofapproval.org/documentation/
     •     ESF & EUROHORCs. (2011). Basic Requirements for Research Infrastructures in Europe. Retrieved from
           http://www.dfg.de/download/pdf/foerderung/programme/wgi/basic_requirements_research_infrastructures.pdf
     •     NESTOR. (2008). Kriterienkatalog vertrauenswürdige digitale Langzeitarchive.Version 2. Retrieved from http://nbn-
           resolving.de/urn:nbn:de:0008-2008021802 >> DIN-Norm 31645
     •     ICSU World Data System (WDS). (2011). Certification of World Data System Members. Retrieved from
           http://icsu-wds.org/images/files/WDS_Certification_Summary_11_June_2012.pdf
ODE: Briefing Sheets on Data Sharing




 http://www.ode-project.eu/ode-outputs
Danke für Ihre Aufmerksamkeit!
info@re3data.org
http://re3data.org
         With the exception of all photos and graphics, this slides are licensed under the
         “Creative Commons Attribution 3.0 Germany (CC BY 3.0)“ Licence.

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Forschungdaten-Repositorien - Stand und Perspektive

  • 1. Forschungsdaten-Repositorien Stand und Perspektive Heinz Pampel, Deutsches GeoForschungsZentrum GFZ 5. Kongress Bibliothek & Information Deutschland, Leipzig, 11.03.2013  
  • 2. Agenda •  Hintergrund •  Forschungsdaten-Repositorien •  „Intelligent Openness“ •  Herausforderungen
  • 3. Agenda •  Hintergrund •  Forschungsdaten-Repositorien •  „Intelligent Openness“ •  Herausforderungen
  • 4. Zugangsbarrieren •  „The overwhelming majority of respondents (87 %) either disagree or disagree strongly with the statement that ‘there is NO access problem to research data’. Just 6 % of respondents have no opinion, another 6 % agree with the state- ment and only 1 % agree strongly.“ European Commission. (2012). Online survey on scientific information in the digital age. Luxembourg: Publications Office of the European Union. Retrieved from http://ec.europa.eu/research/science-society/document_library/pdf_06/survey-on-scientific-information-digital-age_en.pdf
  • 5. Zugangsbarrieren Payne, D. (2012). Tamiflu: the battle for secret drug data. BMJ, 345(oct29 2), e7303–e7303. doi:10.1136/bmj.e7303
  • 6. The Royal Society „Where data justify it, scientists should make them available in an appropriate data repository. “ The Royal Society. (2012). Science as an open enterprise. The Royal Society Science Policy Centre report 02/12. Retrieved from http://royalsociety.org/uploadedFiles/ Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE.pdf
  • 7. US-Directive „digitally formatted scientific data resulting from unclassified research supported wholly or in part by Federal funding should be stored and publicly accessible to search, retrieve, and analyze. “ Office of Science and Technology Policy. (2013). Increasing Access to the Results of Federally Funded Scientific Research. Retrieved from http:// www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
  • 8. EC-Empfehlung „Ensure that, as a result of these policies: research data that result from publicly funded research become publicly accessible, usable and re-usable through digital e- infrastructures “ European Commission. (2012). Commission Recommendation on access to and preservation of scientific information. C(2012) 4890 final. Retrieved from http:// ec.europa.eu/research/science-society/document_library/pdf_06/recommendation-access-and-preservation-scientific-information_en.pdf
  • 9. Data Policies: Förderorganisationen •  NIH, 2003 •  „The NIH endorses the sharing of final research data to serve these and other important scientific goals. The NIH expects and supports the timely release and sharing of final research data from NIH- supported studies for use by other researchers. Starting with the October 1, 2003 receipt date, investigators submitting an NIH application seeking $500,000 or more in direct costs in any single year are expected to include a plan for data sharing or state why data sharing is not possible. “ •  DFG, 2012 •  „Wenn aus Projektmitteln systematisch (Mess-)Daten erhoben werden, die für die Nachnutzung geeignet sind, legen Sie bitte dar, welche Maßnahmen ergriffen wurden bzw. während der Laufzeit des Projektes getroffen werden, um die Daten nachhaltig zu sichern und ggf. für eine erneute Nutzung bereit zu stellen. Bitte berücksichtigen Sie dabei auch - sofern vorhanden - die in Ihrer Fachdisziplin existierenden Standards und die Angebote bestehender Datenrepositorien. “
  • 10. Data Policies: Journals •  Nature, 2011 •  „Data sets must be made freely available to readers from the date of publication, and must be provided to editors and peer-reviewers at submission, for the purposes of evaluating the manuscript. For the following types of data set, submission to a community-endorsed, public repository is mandatory. Accession numbers must be provided in the paper. Examples of appropriate public repositories are listed below.“ •  AGU, 1996 •  „Data sets cited in AGU publications must meet the same type of standards for public access and long-term availability as are applied to citations to the scientific literature. Thus data cited in AGU publications must be permanently archived in a data center or centers that meet the following conditions: a) are open to scientists throughout the world. b) are committed to archiving data sets indefinitely. c) provide services at reasonable costs.“
  • 11. Zurückhaltung in der Wissenschaft •  Campbell, E. G., Clarridge, B. R., Gokhale, M., Birenbaum, L., Hilgartner, S., Holtzman, N. A., & Blumenthal, D. (2002). Data Withholding in Academic Genetics. Evidence From a National Survey. JAMA: The Journal of the American Medical Association, 287(4), 473–480. doi:10.1001/jama.287.4.473 •  Kuipers, T., & Van der Hoeven, J. (2009). Insight into digital preservation of research output in Europe. Survey Report. Retrieved from http://www.parse-insight.eu/downloads/PARSE- Insight_D3-4_SurveyReport_final_hq.pdf •  Schäfer, A., Pampel, H., Pfeiffenberger, H., Dallmeier-Tiessen, S., Tissari, S., Darby, R., Giaretta, K., et al. (2011). Baseline Report on Drivers and Barriers in Data Sharing. Retrieved from http:// www.alliancepermanentaccess.org/wp-content/uploads/downloads/2011/11/ODE-WP3- DEL-0002-1_0_public_final.pdf •  Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., Manoff, M., et al. (2011). Data Sharing by Scientists: Practices and Perceptions. PLoS ONE, 6(6), e21101. doi:10.1371/journal.pone.0021101 •  Wicherts, J. M., Borsboom, D., Kats, J., & Molenaar, D. (2006). The poor availability of psychological research data for reanalysis. American Psychologist, 61(7), 726–728. doi:10.1037/0003-066X.61.7.726
  • 12. Potenzial für die Wissenschaft Ramsden, C. E., Zamora, D., Leelarthaepin, B., Majchrzak-Hong, S. F., Faurot, K. R., Suchindran, C. M., Ringel, A., et al. (2013). Use of dietary linoleic acid for secondary prevention of coronary heart disease and death: evaluation of recovered data from the Sydney Diet Heart Study and updated meta-analysis. BMJ, 346(feb04 3), e8707–e8707. doi:10.1136/bmj.e8707
  • 13. Barrieren überwinden Dallmeier-Tiessen, S., Darby, R., Gitmans, K., Herterich, P., Lambert, S., Mele, S., Nordling, J., et al. (2012). Summary of the studies, thematic publications and recommendations. Retrieved from http://www.alliancepermanentaccess.org/wp-content/plugins/download- monitor/download.php?id=Summary+of+the+studies%2C+thematic+publications+and+recommendations
  • 14. Agenda •  Hintergrund •  Forschungsdaten-Repositorien •  „Intelligent Openness“ •  Herausforderungen
  • 15. Definition •  Die Landschaft der Forschungsdaten-Repositorien ist äußerst heterogen. •  Es gibt deutliche Unterschiede zur Landschaft der Text-Repositorien, die durch die Open Archives Initiative (OAI) geprägt ist. •  Forschungsdaten-Repositorien sind häufig durch Fach-Communities und deren Infrastrukturanbieter geprägt. •  Ein Forschungsdaten-Repositorium ist eine Infrastruktur, die das Ziel verfolgt, Forschungsdaten möglichst dauerhaft zugänglich zu machen. •  Ausrichtung und Services variieren stark.
  • 18. Institutionelle Daten-Repositorien PURR, http://research.hub.purdue.edu Open Data LMU, http://data.ub.uni-muenchen.de
  • 19. Generische Daten-Repositorien Figshare, http://figshare.com
  • 20. Blick in die Biomedizin Fernández-Suárez, X. M., & Galperin, M.Y. (2013). The 2013 Nucleic Acids Research Database Issue and the online molecular biology database collection. Nucleic Acids Research, 41(Database issue), D1–7. doi:10.1093/nar/gks1297
  • 21. Agenda •  Hintergrund •  Forschungsdaten-Repositorien •  „Intelligent Openness“ •  Herausforderungen
  • 22. „Intelligent Openness“ Terms Definition accessible Data must be located in such a manner that it can readily be found and in a form that can be used. assessable In a state in which judgments can be made as to the data or information’s reliability. Data must provide an account of the results of scientific work that is intelligible to those wishing to under- stand or scrutinise them. Data must therefore be differentiated for different audiences. intelligible Comprehensive for those who wish to scrutinise something. Audiences need to be able to make some judgment or assessment of what is communicated. They will need to judge the nature of the claims made. They should be able to judge the competence and reliability of those making the claims. Assessability also includes the disclosure of attendant factors that might influence public trust. useable In a format where others can use the data or information. Data should be able to be reused, often for different purposes, and therefore will require proper background information and meta- data. The usability of data will also depend on those who wish to use them.
  • 23. „Intelligent Openness“ Terms Definition accessible Data must be located in such a manner that it can readily be found and in a form that can be used. assessable In a state in which judgments can be made as to the data or information’s reliability. Data must provide an account of the results of scientific work that is intelligible to those wishing to under- stand or scrutinise them. Data must therefore be differentiated for different audiences. intelligible Comprehensive for those who wish to scrutinise something. Audiences need to be able to make some judgment or assessment of what is communicated. They will need to judge the nature of the claims made. They should be able to judge the competence and reliability of those making the claims. Assessability also includes the disclosure of attendant factors that might influence public trust. useable In a format where others can use the data or information. Data should be able to be reused, often for different purposes, and therefore will require proper background information and meta- data. The usability of data will also depend on those who wish to use them.
  • 24. „Intelligent Openness“ •  Wann soll ich meine Daten zugänglich machen? •  Wie soll ich meine Daten zugänglich machen? •  Wo soll ich meine Daten zugänglich machen? RRZE Icon Set (CC: BY-SA)
  • 25. „Intelligent Openness“ •  Wann soll ich meine Daten zugänglich machen? •  Wie soll ich meine Daten zugänglich machen? •  Wo soll ich meine Daten zugänglich machen? http://dx.doi.org/10.3334/CDIAC/GCP_V2012 RRZE Icon Set (CC: BY-SA)
  • 26. „Intelligent Openness“ •  Wann soll ich meine Daten zugänglich machen? •  Wie soll ich meine Daten zugänglich machen? •  Wo soll ich meine Daten zugänglich machen? http://dx.doi.org/10.3334/CDIAC/GCP_V2012 http://dx.doi.org/10.5194/essdd-5-1107-2012 RRZE Icon Set (CC: BY-SA)
  • 27. „Intelligent Openness“ •  Wann soll ich meine Daten zugänglich machen? •  Wie soll ich meine Daten zugänglich machen? •  Wo soll ich meine Daten zugänglich machen? http://dx.doi.org/10.3334/CDIAC/GCP_V2012 http://dx.doi.org/10.1038/nclimate1783 http://dx.doi.org/10.5194/essdd-5-1107-2012 RRZE Icon Set (CC: BY-SA)
  • 28. „Intelligent Openness“ •  Wann soll ich meine Daten zugänglich machen? •  Wie soll ich meine Daten zugänglich machen? •  Wo soll ich meine Daten zugänglich machen? http://dx.doi.org/10.3334/CDIAC/GCP_V2012 http://dx.doi.org/10.1038/nclimate1783 http://dx.doi.org/10.5194/essdd-5-1107-2012 RRZE Icon Set (CC: BY-SA)
  • 29. Agenda •  Hintergrund •  Forschungsdaten-Repositorien •  „Intelligent Openness“ •  Herausforderungen
  • 31. Anerkennung des „Data Sharings“ •  Wissenschaftsrat (WR): •  National Science Foundation (NSF): National Science Foundation. (2013). GPG Summary of Changes. Retrieved from http://nsf.gov/pubs/policydocs/pappguide/nsf13001/gpg_sigchanges.jsp Wissenschaftsrat. (2012). Empfehlungen zur Weiterentwickung der wissenschaftlichen Informationsinfrastrukturen in Deutschland bis 2020 (Drs. 2359-12). Retrieved from http://www.wissenschaftsrat.de/download/archiv/2359-12.pdf
  • 32. Finanzierung der Repositorien •  Geschäftsmodelle Baker, M. (2012). Databases fight funding cuts. Nature, 489(7414), 19–19. doi: 10.1038/489019a
  • 33. Finanzierung der Repositorien •  Geschäftsmodelle Markley, J. L., Akutsu, H., Asakura, T., Baldus, M., Boelens, R., Bonvin, A., Kaptein, R., et al. (2012). In support of the BMRB. Nature structural & molecular biology, 19(9), 854–60. doi: 10.1038/nsmb.2371
  • 34. Finanzierung der Repositorien •  Geschäftsmodelle Beagrie, C. (2011). Keeping Research Data Safe Factsheet. Cost issues in digital preservation of research data. Retrieved from http://www.beagrie.com/ KRDS_Factsheet_0711.pdf
  • 35. Finanzierung der Repositorien •  Geschäftsmodelle Kommission Zukunft der Informationsinfrastruktur. (2011). Gesamtkonzept für die Informationsinfrastruktur in Deutschland. Retrieved from http:// www.allianz-initiative.de/fileadmin/ user_upload/KII_Gesamtkonzept.pdf
  • 36. Vertrauenswürdige Repositorien •  Auditierung und Zertifizierung •  Braun, K., et al. (2010). DINI-Zertifikat Dokumenten- und Publikationsservice 2010 (3.0 ed.). Göttingen. Retrieved from http://nbn-resolving.de/urn:nbn:de:kobv:11-100109986 •  Consultative Committee for Space Data Systems (CCSDS). Audit and Certification of Trustworthy Digital Repositories. Recommended Practice. CCSDS 652.0-M-1. Magenta Book. Practice. Retrieved from http:// public.ccsds.org/publications/archive/652x0m1.pdf >> ISO-Norm 16363 •  Data Seal of Approval. (2010). Data Seal of Approval. Guidelines version 1. Retrieved from http:// assessment.datasealofapproval.org/documentation/ •  ESF & EUROHORCs. (2011). Basic Requirements for Research Infrastructures in Europe. Retrieved from http://www.dfg.de/download/pdf/foerderung/programme/wgi/basic_requirements_research_infrastructures.pdf •  NESTOR. (2008). Kriterienkatalog vertrauenswürdige digitale Langzeitarchive.Version 2. Retrieved from http://nbn- resolving.de/urn:nbn:de:0008-2008021802 >> DIN-Norm 31645 •  ICSU World Data System (WDS). (2011). Certification of World Data System Members. Retrieved from http://icsu-wds.org/images/files/WDS_Certification_Summary_11_June_2012.pdf
  • 37. ODE: Briefing Sheets on Data Sharing http://www.ode-project.eu/ode-outputs
  • 38. Danke für Ihre Aufmerksamkeit!
  • 39. info@re3data.org http://re3data.org With the exception of all photos and graphics, this slides are licensed under the “Creative Commons Attribution 3.0 Germany (CC BY 3.0)“ Licence.