Published on

At OAER12, Jan Haspeslagh from VLIZ and Henk Harmsen from DANS talk about their experiences with opening up data

  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide
  • 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]
  • Opendatasessions

    1. 1. #OAER12 22/10/2012Afternoon sessionOpening up Science
    2. 2. Open, if it’s possible and closed, if it has to beArchiving 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. 3. Contents• Data is hot!• About DANS• Storing & Sharing• Linked resources• Modes of access
    4. 4. NiederlandeRenommierter Psychologe gestehtFälschungen
    5. 5. 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”
    6. 6. 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)
    7. 7. 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, 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
    8. 8. 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
    9. 9. 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
    10. 10. 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
    11. 11. 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
    12. 12. Cultures of data sharing differ overdisciplines, but also change over time
    13. 13. Six reasons not to share your data1. 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.
    14. 14. Connecting content & community
    15. 15. Access to Research Information,e-Publications, Data Sets and more New!!
    16. 16. Example of an “enhancedpublication”
    17. 17. 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
    18. 18. Data Seal of Approval 5 Criteria 16 GuidelinesThe 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) 26-10-2012
    19. 19. www.dans.knaw.nlThank for your attention and visit us at:
    20. 20. Open Data: how we cope with them… “OPEN ACCESS TO EXCELLENCE IN RESEARCH” October 22, 2012 Brussel Jan Haspeslagh Librarian Heike Lust Information manager
    21. 21. OverviewThe process • Archiving • Documenting • QC & Integration • Publishing • RedistribitionThe data policy
    22. 22. The process Archiving Publishing QCDocumenting Integration
    23. 23. Archiving
    24. 24. Metadata discovery: Archiving • Responsibles • Access rights • Parameters • Coverage: time, geography, taxonomy, … • Relations to other datasets • PublicationsDocumenting Goal: Maximum searchability and retrieval
    25. 25. Technical: Archiving • Storage software • Checksum & size • „Material & methods‟ • Hierarchy • Units • Formula‟s, calculations •…Documenting Goal: Correct interpretation & future usability
    26. 26. ArchivingDocumenting
    27. 27. QC: all elements available for correct reading, use andanalysis of data? ArchivingIntegration: Combining data from different sources andproviding users with a unified view of these data QC Documenting Integration
    28. 28. IMIS Integrated Marine Information System Publishing→ Module Datasets: ISO 19115 discovery metadata→ Module Literature: ISBD & ASFIS metadata standards
    29. 29. Open Marine Archive & Open Data Redistribution Publishing→ Module Datasets Crossreferenced!→ Module Literature
    30. 30. Archived original datasetIntegrated datasetspublication
    31. 31. Integration of datasetsinto biodiversity database
    32. 32. (Elements of) publisheddataset linked to otherend-user products
    33. 33. Data policy at
    34. 34. WDS Data PolicyThere will be full and open exchange of data, metadata andproducts shared within WDS, … All shared data, metadata andproducts being free of charge or no more than cost ofreproduction will be encouraged for research and education.IOC Oceanographic Data Exchange PolicyMember States shall provide timely, free and unrestrictedaccess to all data, associated metadata and products generatedunder the auspices of IOC programmes.Member States are encouraged to provide timely, free andunrestricted access to relevant data and associated metadatafrom non-IOC programmes …. for non-commercial use by theresearch and education communities, provided that anyproducts or results of such use shall be published in the openliterature without delay or restriction.
    35. 35. Data policy at VLIZ(under development)VLIZ advocates free data exchange and supports the IOCOceanographic Data Exchange Policy. Wherever possibleand relevant, the data from the databases will be madeavailable online through the Internet. Naturally, restrictionsmay apply, as a result of which we cannot offer unlimitedaccess. This is for example the case for data of which VLIZis not the primary source: in this case the data exchangepolicy of the originator of the data will apply.
    36. 36. Data policy at VLIZ – practicalMDA & OMA • Permanent archive for data and publications • Fully documented • Easy online archival & information toolMain 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!
    37. 37.