Carrot and Stick The DANS way

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Carrot and Stick The DANSway

• Henk Harmsen
• Deputy Director
• Data Archiving and Networked Services
• Henk.Harmsen_at_dans.knaw.nl
• www.dans.knaw.nl

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Data Archiving Networked Serivces

• an institute of the Royal Netherlands Academy of
  Arts and Sciences (KNAW), and is also supported
  by the Netherlands Organization for Scientific
  Research (NWO).
• since its establishment in 2005, DANS has been
  taking care of storage and continuous
  accessibility of research data in the social
  sciences and humanities.

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Mission and methods

• Permanent access to scientific data in the
  Netherlands.
• Partner in infrastructural projects.
• Filling own archive using the carrot and the
  stick
• National data contracts (stick)
• Data Seal of Approval (carrot and stick)
• EASY (carrot)

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1. Projects

• European infrastructural projects CESSDA
  (UKDA), DARIAH (DANS) en CLARIN (MPI-Nijmegen) en
  IPYDLE en ANCHISAE
• Government MIXED, Witness stories, GEOdata
• NWO data projects Geleerdenbrieven
  (Huygensinstituut), Dendrochronology (RACM en
  UU), Gildendatabank (UU), HASH (Nijmegen), EDNA
  (Leiden)
• Tiny data projects Hebrew text database
• National infrastructural projects Persistent
  identifiers, DRIVER 2
• Internal projects EOF en Data Seal of Approval

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2. Data contracts

• Funders and bidders of research.
• ARVODI, NWO, CvZ
• Dataproducers
• Organisations
• Statistics, Offices of the land registry
• Research groups
• Veteran Tape, Witness stories
• Individual researcher

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3. Data Seal of Approval

• www.datasealofapproval.org
• 17 (easy) guidelines
• Data seal of approval assessment Board
  UKDA/Cessda, MPI/CLARIN, DANS/DARIAH, AWI/IPYDLE,
  NESTOR, ICPSR and CINES.
• January and April 2009 workshops in cooperation
  with EC

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Stakeholders

• funding agencies
• data producers
• data consumers
• data repositories

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Responsibilities

• The data producer is responsible for the quality
  of the digital research data.
• The data repository is responsible for the
  quality of the storage and the availability of
  the data data management.
• The data consumer is responsible for the quality
  of use of digital research data.

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Unique selling points van het Data Seal of
Approval (DSA)

• DSA is oriented toward scientific data, not
  primarily toward publications.
• DSA not only pays attention to the archiving
  institution, but also to the data producer and
  the data consumer (shared responsibility).
• DSA is not in conflict with for example TRAC, but
  is rather a step toward it.
• DSA does not chooses standardization but opts for
  trust (like custom of peer review in the
  scientific world).
• DSA also focuses on smaller organizations.
• DSA is relatively light and therefore easy to
  implement.
• Openness, dynamics and speed are possible in the
  actual implementation.
• DSA is formulated as points of attention, not as
  solutions.
• DSA offers possibilities for subcontracting
  archiving and still meet the requirements of the
  DSA.

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Indeed a repository, but not an archive, still in
for the data seal of approval? (carrot)

• Implement eleven guidelines 1, 2, 3, 5, 9, 10,
  11, 12, 15, 16 en 17.
• Let six guidelines (4, 6, 7, 8, 13 en 14) be
  executed by another DSA archive.

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Implement 1-3, 5, 9-12 and 15-17

• make use of a qualified data repository
• ingest research data formats as recommended by
  the data repository
• ingest metadata as recommended by the data
  repository
• ensure legal regulations and contracts
• ensure access and availability
• ensure the use of and references to data
• ensure the integrity of the digital objects and
  the metadata.
• ensure the authenticity of the digital objects
  and the metadata.
• respect national legislation
• respect codes of conduct in higher education and
  scientific research
• respect the applicable licenses of the data
  repository

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Subcontract 4, 6, 7, 8, 13 en 14

• explicit mission
• guarantee for quality management
• long-term plan for durable archiving.
• archiving according to predetermined criteria
• technical infrastructure OAIS compatible
• technical infrastructure supports these processes

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4. Electronic Archival System (EASY)

• Online deposit of research data
• Minimal set ofmetadata.
• Data deposit
• Access rights
• Open Access, Restricted Access, Other Access
• Control
• Minimal metadata
• Files
• Privacy information
• Access rights

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Carrots

• Preservation
• Bit stream preservation
• Migration of formats
• Administration
• Access to Data.
• Permission Requests.
• Version control.
• Download data.
• Refer to Data.
• Persistent Identifiers
• Bibliographical instructions

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More carrots!

• Findable
• Online catalogue
• Legal framework.
• Licenses for deposit and use
• Scientific credits.
• Data consumer must refer to data

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Automation of workflow

• Self Archiving data producer
• Metadata
• data files
• Control data manager
• Publish data manager

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Access

• DANS uses different ways of access
• Open Access
• Restricted Permission Request
• Restricted a Group
• Other Access
• Elsewhere (only a link to data elsewhere)

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Thank you!