Because good research needs good data

Call for Papers


Reuse drives preservation and curation efforts. Time and other resources go into digital curation because we anticipate reuse, now or in the future, and because we expect reuse has value for some community (of which we may or may not be a member). If we have the opportunity, we consider how best to balance curatorial efforts with the needs of potential reusers. FAIR data principles say: "The ultimate goal of FAIR is to optimise the reuse of data", but we are usually not willing to invest unlimited present-day resources to achieve perfect optimisation for what are sometimes uncertain and unknowable future reusers.

The theme of this year's IDCC is reusability from every perspective. How do we ensure reusability by the widest possible audience? When does that goal conflict with optimising reusability for a single specialist audience? What technologies, tools and workflows aid us in curating digital information for reuse, or in reusing digital collections that are not optimally suited for it? How can users and contributors from communities distant from that of the curators contribute to effective reuse? How can curation help limit energy use to ensure that there will be a future in which reuse can take place? When government agencies meet commitments to make their data publicly available, what does this mean in terms of enabling reuse in the broadest contexts?

Papers are invited, but not limited to, address one or multiple themes in the broad scope of reusability:

  • Balancing reusability between wide and narrow audiences - techniques, costs, workflows
  • Evolution in tools and workflows for enabling reuse
    • AI and Machine Learning techniques - how far is promise from reality?
    • transparency of tools and workflows
    • balancing scale, accuracy and predictability
  • What does curating for reuse mean when considering collections of software, workflows, virtual worlds and other types of content?
  • How might we realise the visions espoused by researchers such as Barend Mons about network-enabled machine learning distributed software interacting with data repositories?
  • Relationships between Open Data, Citizen Science, Scholarship and Digital Curation as enabler of societal engagement in science, arts and humanities.
    • how does citizen engagement in science, arts, or humanities shape data reusability?
    • how are GLAM institutions employing the notion of collections as data to reinvent engagement with people as users and reusers?
  • Reuse strategies for environmental sustainability in digital curation, including the effects on:
    • appraisal and selection criteria
    • curation activities during ingest
    • approaches to long-term preservation
    • mechanisms for re-use