RDM Repository Evaluation

Owned by Katrine Hofmann Gasser
Last updated: Apr 11, 2016 by Paula Martinez Lavanchy

Repository

From the large repository list at re3data.org we have examined the following repositories

Category

We have established the following criteria that we will use to evaluate each repository

  • Price
    • Initial subscription price
    • Free storage size limit 
    • Either total price or price per year
  • Size limit
    • Default uploaded file size
    • Uploaded file size on request
    • Number of files that can be stored
    • Total allowed storage capacity
  • Allowed data types
    • Data types
    • What is the plan for ensuring that the data type can be read in the future?
  • Research restrictions
    • Material not allowed
  • Research phase
  • Research topic requirement (Like astronomy, biology, archeology and so on )
  • Access to data
    • Conditions that the files have to fulfill
    • Tracking users and statistics
    • Restricted Access
  • Data security
    • How many copies of the data are present?
    • How protected are the data?
  • Location
  • Accept material from
  • Ownership
  • Ability to have versions
  • Safety
  • Sustainability
    • What is the plan in case the service gets terminated?
    • What funding is there?
    • How much do the users of the service contribute with
    • How high is the risk of the service getting terminated
  • Withdrawal of data
  • Revocation of DOIs
  • Data privacy
    • Virus check
    • Encryption
  • Form restrictions (like corpus, survey etc)
  • Policy/Law
  • Preservation of data
    • Retention period
    • Functional preservation
    • File preservation
    • Fixity and authenticity
  • Metadata 
    • Access and reuse
    • License
  • Requirement/wishes (Ingest, Data Management, Preservation, Administration, Archival Storage and General)
    • Ingest
      • Submission Information Package (SIP)
      • Record decision relating to SIP
      • Identify data objects
      • Validate files
      • Automated extraction of metadata
      • Virus check files on ingest.
      • Record related physical material 
      • Select and configure automation
      • Process large numbers of large files
    • Data Management
      • Persistent unique internal identifiers
      • PDI associated with content information
      • PREMIS metadata schema
      • Describe data at different levels of granularity
      • Maintain relationship between different file representations
      • Store technical metadata extracted from files
      • Fulfill Dublin Core metadata
      • Guarantee long-term preservation and integrity of the data
      •  Certified to the Trusted Repositories Audit and Certification standard
      • Restrict access to sensitive data if this is necessary
    • Preservation
      • Preservation plans for individual or groups of files
      • Automatic checking performed post-migration
      • Record actions, migrations and administrative processes
    • Administration
      • Disposal of data where appropriate
      • Record of what, when and why material got disposed
      • Reporting capabilities so statistics can be collated
    • Archival Storage
      • Monitor the integrity using checksums
      • Error report when data are lost or corrupted
      • Compliant with OAIS
    • General
      • Integrate with a range of repository or content management systems
      • The digital archive will integrate with our archival management systems.
      • APIs for integrating with other systems
      • Incorporate new digital preservation tools as they become available
      • Extracting and exporting data and metadata
      • Support and technical help is available
      • Under active development
      • Community of users exists

Links

The data archive in UK's FAQ, which asks and answers some interesting questions.

Similar question and recommendation: Where to archive and Choose Data Archive

A large register of different repository possibilities: Registry of Research Data Repositories

FigShare Presentation at DTU

As a part of the data management work of our AIS-BDM office at DTU, we are looking into different solutions for storage, sharing and archiving of research data.

One of them is FigShare, which is offered for researchers and also as an institutional solution for the data repository.

Here is the material presented on March 14th 2016 at DTU.


https://dx.doi.org/10.6084/m9.figshare.839648.v1

https://dx.doi.org/10.6084/m9.figshare.2072839.v4

https://dx.doi.org/10.6084/m9.figshare.1565669.v1

https://dx.doi.org/10.6084/m9.figshare.2831236.v1

https://dx.doi.org/10.6084/m9.figshare.1368643.v1