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#OAER12
   22/10/2012
Afternoon session
Opening up Science
Open, if it’s possible
                    and
           closed, if it has to be
Archiving research data and making it available @DANS

                   Henk Harmsen

        Open Access to Excellence in Research
          October 22, 2012 - 9.15 – 17.00 u
                   KVAB, Brussels
Contents
•   Data is hot!
•   About DANS
•   Storing & Sharing
•   Linked resources
•   Modes of access
Niederlande
Renommierter Psychologe gesteht
Fälschungen
Data is hot!
• Article on “trends for 2012”:
  “Keeping your research data
  secret until they are finally
  printed in a scientific
  journal is so 2011”
• Neelie Kroes (Vice-President
  of the European
  Commission responsible for
  the Digital Agenda): “Data is
  the new gold”
What is DANS?

• Institute of Dutch Academy and Research
  Funding Organisation (KNAW & NWO) since 2005
• First predecessor dates back to 1964 (Steinmetz
  Foundation), Historical Data Archive 1989
• Mission: promote and provide permanent access
  to digital research information (started with data
  archives in the humanities and social sciences)
Our main activities and services
• Encourage researchers to self-archive and reuse data by means of our
  Electronic Archiving SYstem EASY
• Our largest digital collections are in archaeology, social sciences and
  history (moving into other domains as well)
• Provide access, through Narcis.nl, to thousands of scientific datasets, e-
  publications and other research information in the Netherlands
• Data projects in collaboration with research communities and partner
  organisations

• Advice, training and support (Data Seal of Approval,
  Persistent Identifier Infrastructure)
• R&D into archiving of and access to digital information
Collaboration DANS – University
                   Libraries
• Starting with Delft, Leiden, Wageningen…
• UL: front offices - DANS: back office
• Roles:
   – DANS: long-term archiving of research data (like KB e-depot
     for publications), providing expertise, training, standards
   – UL: data lab services (VRE, repository) for local researchers
• Possibility to archive data from University repositories:
   –   Challenges explored in Podium Plus project (SURF Share)
   –   Auto-ingest from Dataverses
   –   Stumbling blocks not technical, but copyright
   –   IPR issues can be solved if university, researchers and funders
       agree
Data @ DANS is not “up for grabs”!
Modes of access
• Open (after registration)
• Restricted (depositor is the access authority)
• Other (DANS as security backup)

Archiving system EASY facilitates
- Access management easy and fast
- Embargo for limited time period
- Data reviews
- See who used “your” data
Why is digital preservation of data
               important?
• Storage of data makes research more
  transparent
• Checks on claims made in publications
• Replication research is possible
• However, data re-use for comparative studies
  is much more important
How does it work?
• NWO investments.
  Before grant is awarded
  there is a agreements on
  access
  – At DANS
  – Or other repository with
    Data Seal of Approval
• Archeological research
  deposit obligation
Cultures of data sharing differ over
disciplines, but also change over time
Six reasons not to share your data
1. No one else can understand the complexity of
   my data.
2. If someone analyzes my data he/she might come
   to other conclusions.
3. Someone else might even discover new findings.
4. I am not yet ready with the analysis of my data.
5. I’ve worked hard to collect the data. They’re
   mine!
6. I cannot trust data that has been produced
   somewhere else.
Connecting content & community
NARCIS.nl: Access to Research Information,
e-Publications, Data Sets and more




                                             New!!
Example of
     an
 “enhanced
publication”
Data reviews
• Pilot
• 92% recommends re-used dataset
• Average rating is about 4 (scale 1-5)
• 70% states that specific dataset helps to answer
  questions
Data Seal of Approval
       5 Criteria
     16 Guidelines
The research data:
• can be found on the
  Internet
• are accessible (clear
  rights and licenses)
• are in a usable format
• are reliable
• can be referred to
  (persistent identifier)
www.datasealofapproval.org
                             26-10-2012
www.dans.knaw.nl
Thank youwww.narcis.nl
          for your attention
      and visit us at:
  henk.harmsen@dans.knaw.nl
Open Data: how we cope with them…

    “OPEN ACCESS TO EXCELLENCE IN RESEARCH”

                 October 22, 2012
                     Brussel


                 Jan Haspeslagh
                       Librarian
                     Heike Lust
                  Information manager
Overview

The process

   •   Archiving
   •   Documenting
   •   QC & Integration
   •   Publishing
   •   Redistribition

The data policy
The process

 Archiving
                            Publishing
               QC


Documenting
              Integration
Archiving
            http://mda.vliz.be
Metadata discovery:
 Archiving    • Responsibles
              • Access rights
              • Parameters
              • Coverage: time, geography,
                taxonomy, …
              • Relations to other datasets
              • Publications
Documenting   Goal:
              Maximum searchability
              and retrieval
Technical:
 Archiving    • Storage software
              • Checksum & size
              • „Material & methods‟
              • Hierarchy
              • Units
              • Formula‟s, calculations
              •…
Documenting   Goal:
              Correct interpretation &
              future usability
Archiving




Documenting
QC: all elements available for correct reading, use and
analysis of data?
      Archiving
Integration: Combining data from different sources and
providing users with a unified view of these data

                            QC

   Documenting                      Integration
IMIS     Integrated Marine Information System




                                                       Publishing


→ Module Datasets: ISO 19115 discovery metadata
→ Module Literature: ISBD & ASFIS metadata standards
Open Marine Archive
                                &
                          Open Data


  Redistribution                            Publishing


→ Module Datasets
                         Crossreferenced!
→ Module Literature
Archived original dataset




Integrated datasets
publication
Integration of datasets
into biodiversity database
(Elements of) published
dataset linked to other
end-user products
Data policy at VLIZ




www.icsu-wds.org

www.iode.org/
WDS Data Policy

There will be full and open exchange of data, metadata and
products shared within WDS, … All shared data, metadata and
products being free of charge or no more than cost of
reproduction will be encouraged for research and education.

IOC Oceanographic Data Exchange Policy

Member States shall provide timely, free and unrestricted
access to all data, associated metadata and products generated
under the auspices of IOC programmes.
Member States are encouraged to provide timely, free and
unrestricted access to relevant data and associated metadata
from non-IOC programmes …. for non-commercial use by the
research and education communities, provided that any
products or results of such use shall be published in the open
literature without delay or restriction.
Data policy at VLIZ
(under development)

VLIZ advocates free data exchange and supports the IOC
Oceanographic Data Exchange Policy. Wherever possible
and relevant, the data from the databases will be made
available online through the Internet. Naturally, restrictions
may apply, as a result of which we cannot offer unlimited
access. This is for example the case for data of which VLIZ
is not the primary source: in this case the data exchange
policy of the originator of the data will apply.
Data policy at VLIZ – practical

MDA & OMA
  • Permanent archive for data and publications
  • Fully documented
  • Easy online archival & information tool

Main challenges:
 Convincing scientists to openly share their data
 no mandates, all is voluntary!
 Effort involved in properly describing data so it
  can be re-used by others → need for dedicated
  data centers!
jan.haspeslagh@vliz.be
heike.lust@vliz.be

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Opendatasessions

  • 1. #OAER12 22/10/2012 Afternoon session Opening up Science
  • 2. Open, if it’s possible and closed, if it has to be Archiving research data and making it available @DANS Henk Harmsen Open Access to Excellence in Research October 22, 2012 - 9.15 – 17.00 u KVAB, Brussels
  • 3. Contents • Data is hot! • About DANS • Storing & Sharing • Linked resources • Modes of access
  • 4.
  • 6. Data is hot! • Article on “trends for 2012”: “Keeping your research data secret until they are finally printed in a scientific journal is so 2011” • Neelie Kroes (Vice-President of the European Commission responsible for the Digital Agenda): “Data is the new gold”
  • 7. What is DANS? • Institute of Dutch Academy and Research Funding Organisation (KNAW & NWO) since 2005 • First predecessor dates back to 1964 (Steinmetz Foundation), Historical Data Archive 1989 • Mission: promote and provide permanent access to digital research information (started with data archives in the humanities and social sciences)
  • 8. Our main activities and services • Encourage researchers to self-archive and reuse data by means of our Electronic Archiving SYstem EASY • Our largest digital collections are in archaeology, social sciences and history (moving into other domains as well) • Provide access, through Narcis.nl, to thousands of scientific datasets, e- publications and other research information in the Netherlands • Data projects in collaboration with research communities and partner organisations • Advice, training and support (Data Seal of Approval, Persistent Identifier Infrastructure) • R&D into archiving of and access to digital information
  • 9. Collaboration DANS – University Libraries • Starting with Delft, Leiden, Wageningen… • UL: front offices - DANS: back office • Roles: – DANS: long-term archiving of research data (like KB e-depot for publications), providing expertise, training, standards – UL: data lab services (VRE, repository) for local researchers • Possibility to archive data from University repositories: – Challenges explored in Podium Plus project (SURF Share) – Auto-ingest from Dataverses – Stumbling blocks not technical, but copyright – IPR issues can be solved if university, researchers and funders agree
  • 10. Data @ DANS is not “up for grabs”! Modes of access • Open (after registration) • Restricted (depositor is the access authority) • Other (DANS as security backup) Archiving system EASY facilitates - Access management easy and fast - Embargo for limited time period - Data reviews - See who used “your” data
  • 11. Why is digital preservation of data important? • Storage of data makes research more transparent • Checks on claims made in publications • Replication research is possible • However, data re-use for comparative studies is much more important
  • 12. How does it work? • NWO investments. Before grant is awarded there is a agreements on access – At DANS – Or other repository with Data Seal of Approval • Archeological research deposit obligation
  • 13. Cultures of data sharing differ over disciplines, but also change over time
  • 14. Six reasons not to share your data 1. No one else can understand the complexity of my data. 2. If someone analyzes my data he/she might come to other conclusions. 3. Someone else might even discover new findings. 4. I am not yet ready with the analysis of my data. 5. I’ve worked hard to collect the data. They’re mine! 6. I cannot trust data that has been produced somewhere else.
  • 15. Connecting content & community
  • 16. NARCIS.nl: Access to Research Information, e-Publications, Data Sets and more New!!
  • 17. Example of an “enhanced publication”
  • 18.
  • 19. Data reviews • Pilot • 92% recommends re-used dataset • Average rating is about 4 (scale 1-5) • 70% states that specific dataset helps to answer questions
  • 20. Data Seal of Approval 5 Criteria 16 Guidelines The research data: • can be found on the Internet • are accessible (clear rights and licenses) • are in a usable format • are reliable • can be referred to (persistent identifier) www.datasealofapproval.org 26-10-2012
  • 21. www.dans.knaw.nl Thank youwww.narcis.nl for your attention and visit us at: henk.harmsen@dans.knaw.nl
  • 22. Open Data: how we cope with them… “OPEN ACCESS TO EXCELLENCE IN RESEARCH” October 22, 2012 Brussel Jan Haspeslagh Librarian Heike Lust Information manager
  • 23. Overview The process • Archiving • Documenting • QC & Integration • Publishing • Redistribition The data policy
  • 24. The process Archiving Publishing QC Documenting Integration
  • 25. Archiving http://mda.vliz.be
  • 26. Metadata discovery: Archiving • Responsibles • Access rights • Parameters • Coverage: time, geography, taxonomy, … • Relations to other datasets • Publications Documenting Goal: Maximum searchability and retrieval
  • 27. Technical: Archiving • Storage software • Checksum & size • „Material & methods‟ • Hierarchy • Units • Formula‟s, calculations •… Documenting Goal: Correct interpretation & future usability
  • 29. QC: all elements available for correct reading, use and analysis of data? Archiving Integration: Combining data from different sources and providing users with a unified view of these data QC Documenting Integration
  • 30. IMIS Integrated Marine Information System Publishing → Module Datasets: ISO 19115 discovery metadata → Module Literature: ISBD & ASFIS metadata standards
  • 31. Open Marine Archive & Open Data Redistribution Publishing → Module Datasets Crossreferenced! → Module Literature
  • 32.
  • 33.
  • 34. Archived original dataset Integrated datasets publication
  • 35. Integration of datasets into biodiversity database
  • 36.
  • 37. (Elements of) published dataset linked to other end-user products
  • 38. Data policy at VLIZ www.icsu-wds.org www.iode.org/
  • 39. WDS Data Policy There will be full and open exchange of data, metadata and products shared within WDS, … All shared data, metadata and products being free of charge or no more than cost of reproduction will be encouraged for research and education. IOC Oceanographic Data Exchange Policy Member States shall provide timely, free and unrestricted access to all data, associated metadata and products generated under the auspices of IOC programmes. Member States are encouraged to provide timely, free and unrestricted access to relevant data and associated metadata from non-IOC programmes …. for non-commercial use by the research and education communities, provided that any products or results of such use shall be published in the open literature without delay or restriction.
  • 40. Data policy at VLIZ (under development) VLIZ advocates free data exchange and supports the IOC Oceanographic Data Exchange Policy. Wherever possible and relevant, the data from the databases will be made available online through the Internet. Naturally, restrictions may apply, as a result of which we cannot offer unlimited access. This is for example the case for data of which VLIZ is not the primary source: in this case the data exchange policy of the originator of the data will apply.
  • 41. Data policy at VLIZ – practical MDA & OMA • Permanent archive for data and publications • Fully documented • Easy online archival & information tool Main challenges:  Convincing scientists to openly share their data  no mandates, all is voluntary!  Effort involved in properly describing data so it can be re-used by others → need for dedicated data centers!

Editor's Notes

  1. Niemand anders kan de complexiteit van mijn data begrijpen [de praktijk laat zien dat dat wel kan als de omstandigheden van het onderzoek en de data zelf goed worden gedocumenteerd en beschreven]Als iemand anders mijn data analyseert, vindt hij misschien een ander antwoord dat mijn bevindingen kan ondergraven [het kunnen falsifiëren van uitspraken vormt juist de grondslag van de wetenschappelijke methode. Onderzoekers die falsificatie onmogelijk maken hinderen de vooruitgang van wetenschappelijke kennis]Misschien vindt iemand anders iets in mijn data dat ik over het hoofd heb gezien [dat verhoogt juist het rendement van de investering in de dataverzameling en het onderzoek]Ik ben nog niet klaar met de analyse van mijn data [onderzoek is nooit af, met dit argument kan het beschikbaar stellen van data eeuwig tot mañana worden uitgesteld. Een publicatie over de data is het uiterste moment om ze beschikbaar te stellen voor contra-expertise]Het zijn mijn data, waarvoor ik hard heb gewerkt om ze te verzamelen, en niemand anders heeft er recht op [dataverzameling die met publieke middelen wordt gefinancierd, moet ook publiekelijk toegankelijk zijn. NWO kan zeker rechten claimen op data uit door NWO gefinancierd onderzoek. Bovendien: als de resultaten van onderzoek wel publiek worden gemaakt in boeken en tijdschriften, waarom dan de data die eraan ten grondslag liggen niet?]De data die elders zijn geproduceerd kan ik niet vertrouwen of begrijpen [als dat niet kan, zijn de onderzoeksresultaten in de literatuur dan wel te vertrouwen en begrijpen? Dit is trouwens het spiegelbeeld van 1]