nodegoat workshop at the eighth HNR workshop Vom Text zum Netzwerk und zurück. Über die Wechselwirkungen im historischen Forschungsprozess 5/6 April 2014.

During this year's Historical Network Research conference in Lisbon 15-18 September, we will host a nodegoat workshop. The title of this workshop is: Conceptualise and Set Up a Historical Network Research Workflow. We will focus on conceptualising a data model for your own research question and explore the possibilities of storing your data structurually and creating interactive space/time visualisations. The workshop will last a full day and will take place on 16 September.

As nodegoat is a web-based data modeling and management tool that is equiped with functionalities to produce time-aware network analytics and visualisations, it is well suited for historical network analysis.

nodegoat Workshop: Conceptualise and Set Up a Historical Network Research Workflow

Goals

• Learn how to conceptualise a data model suited for historical network research.
• Be able to build a custom data model in nodegoat.
• Be able to enter data into nodegoat.
• Be able to produce diachronic geographic and social network visualisations in nodegoat.

Requirements

• No prior knowledge is required to attend this workshop.
• Participants are required to bring their own laptop to the workshop.

Pre-workshop preparation

• Watch the nodegoat video tutorials:

• Read the blog post 'Enter, Curate & Explore Data'.
• [Optional, Read the nodegoat FAQ]

Workshop Programme

• Introduction of participants & discussion of research questions proposed by participants.
• Introduction to nodegoat.
• Discussion of two exemplary projects in nodegoat.
  • Epistolary Networks.
  • Networks of historical artifacts.
• Collectively: enter and visualise data in nodegoat.
• Discussion of first results.

Break

• Discussion and inventorisation of research projects.
• In groups: conceptualisation of a new data model for a specific research project.
• Collectively: add a new data model in nodegoat.
• In groups: add the conceptualised data model in nodegoat.
• Discussion of the results.
• Enter data in the new data model.
• Visualisation & discussion of the results.