nodegoat is conceptualised and developed by LAB1100
Taken from the project website (Accessed 01-09-2020):
nodegoat is a web-based research and data-visualisations environment. It allows scholars to build datasets based on their own data model and offers relational modes of analysis with spatial and chronological forms of contextualisation. By combining these elements within one environment, scholars are able to instantly process, analyse and visualise complex datasets relationally, diachronically and spatially; trailblazing. nodegoat follows an object-oriented approach throughout its core functionalities. Borrowing from actor-network theory this means that people, events, artefacts, and sources are treated as equal: objects, and hierarchy depends solely on the composition of the network: relations. This object-oriented approach advocates the self-identification of individual objects and maps the correlation of objects within the collective. You are free to implement a data model of your own design, or create a data model in alignment with existing vocabularies (e.g. Dublin Core, or the CIDOC Conceptual Reference Model).
Nodegoat offers free individual accounts to researchers, and makes available a good number of user cases and tutorials via their website.