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News

ACDH-CH - Join the ResearchSpace Community

The Austrian Centre for Digital Humanities and Cultural Heritage the 29th institute of the Austrian Academy of Sciences started the year by becoming a member of the ResearchSpace community.

The center has a considerable reputation in the Digital Humanities and will be using ResearchSpace to support some of their work.


New Release of ResearchSpace

Due First Quarter of 2024, date to be announced in the new year

Early release notes will be available to subscribers



Stephen Willats - New Exhibition, Time Tumbler


When Stephen Willats met ResearchSpace - systems theory with historical contingency reprtesented in art.

Previous News

Who are Kartography?

Kartography are an interdisciplinary team drawing upon extensive experience of working in knowledge organisations including the Royal College of Arts, the British Museum and the National Gallery. Kartography are the designers and developers of ResearchSpace, a knowledge base platform that supports evolving knowledge processes using meaningful context.

We provide expert consultancy in:

  • Expert CIDOC CRM modelling,
  • Legacy Data Mapping,
  • Data Diversity and Contextualisation,
  • Semantic Web Application Design,
  • User oriented software design and development, and,
  • Transdisciplinary research services.
Contact us on info@kartography.org

What is ResearchSpace?

ResearchSpace is an open source system with over 10 years of research and development funded by the Mellon Foundation (New York). ResearchSpace has been designed to address many of the problems associated with representing complex data that databases or database appraches are not designed to address. For more information about how ResearchSpace works click here

How does ResearchSpace work?

In order for different system to effectively communicate they need a common understanding. When we communicate we use different words and phrases to describe similar things. When information is processed through computers this can cause serious problems. Every organisation is individual and has different perspectives and traditions.

The ResearchSpace Knowledge base provides an overarching framework based on real world empirical concepts providing a solid semantic referent for data. In this way both human and computer have common framework under which heterogenious information can be represented and interconnected, and provide a better basis for AI. The flexibility needed for human knowledge processes is supported but with all the advantages of computer processesing to cope with large amounts of data but essentially based on meaningful qualitative information. Instead of a database that only stores a field label and a value with a data type, ResearchSpace stores an effective semantic network of processes typed to the real world. This creates a highly effective knowledge base of information which can be dynamically extended and exchanged.

What does kartography do?

Kartography helps you move from the constraints of instrumental, abstract, one dimensional thinking, to a new digital environment in which a wider range of knowledge can be authored with greater context and diversity. It helps design systems that include parallel perspectives, argument and uncertainty, and multi-layered causation (influence). It provides transdisciplinary capability and the ability to include social and historical context. This often goes hand in hand with reviewing and changing internal processes to represent greater collaboration within and across departments and with external partners and audiences.

Kartography are experienced at creating flexible knowledge systems that grow and evolve as human working evolves without the overhead of a traditional bespoke system. All the meaning and logic is in the data making it easier to change the way ResearchSpace interacts and augments knowledge processes and decision making.

Kartography provides courses in how to change the way people work to make better use of the knowledge they produce. To radical change the relationship with information systems and to create data systems that eliminate bias and represent context that improves inclusivity. It also provides connected courses in the technicalities of the Semantic Web and Linked data without separating the technical processes from social context.