Project cooperationUpdated on 28 May 2025

Data management

Go Sugimoto

Guest researcher at Vrije Universiteit Amsterdam

The Hague, Netherlands

About

Data are in many forms. Different file formats, different data structures, different scopes, and different sizes. They may use different units and standards within. There are also difference stages of data management: ranging from data acquisition, data cleaning, data modelling, data processing, to data enrichment, data publication, and data reuse. There is a complicated data lifecycle.
Data access is another issue. Data can be private or public and strictly confidencial or sensitive. Data may need to be published with a license or in the public domain. Data can be FAIR (Findable, Accessible, Interoperable, and Reusable).

If you find it hard to use data from different sources, we can provide excellent data management expertise

Stage

  • Ideation - identifying the project idea

Topic

  • HEU Partnership: Resilient Cultural Heritage
  • Cultural Heritage in the Digital Europe Program

Call

  • HERITAGE-03: A European Collaborative Cloud for Cultural Heritage – Innovative use cases
  • HERITAGE-04: Leveraging artificial intelligence for creativitydriven innovation
  • HERITAGE-05: Evolution of culture in a virtualising world
  • HERITAGE-06: Europe as a global powerhouse of design for sustainable competitiveness
  • HERITAGE-07: Cultural Strategies for Peace: culture and creativity as catalysts for conflict prevention and post-conflict reconciliation
  • HERITAGE-08: Bridging historical past and future potential through conservation, preservation, and adaptive use of Europe’s contentious and dissonant heritage
  • HERITAGE-09: Impacts of culture and the arts on health and well-being
  • HERITAGE-02- two-stage: Innovative approaches to intangible cultural heritage for societal resilience
  • HERITAGE-01: Co-funded European partnership for Resilient Cultural Heritage

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