The first two sessions will give a general introduction to the usage of nodegoat:
DS29 - Nodegoat: Data Modelling, Monday 30 May, 14:00-17:00, online
After a brief introduction to nodegoat, we will implement a data model in your own nodegoat environment. Once the data model is up and running, we will manually enter a small amount of data to evaluate your data model. If you do not have a nodegoat account yet, please request an account via https://nodegoat.net/requestaccount.
DS30 - Nodegoat: Importing Data, Monday, 13 June, 14:00-17:00, online
In this session, we will import CSV files with spatial data, biographical data, and correspondence data. After the import, we will explore spatial and temporal filters and visualisations. These two first sessions will set you up with a nodegoat environment that contains a data model and a relational dataset. These elements are required in order to follow along in sessions 3 and session 4.
The final two sessions cover more advanced features of nodegoat:
Participants who do not have a configured nodegoat research environment are required to join sessions 1 and 2 in order to participate in sessions 3 and 4.
Participants who are already using a nodegoat environment for their research project may join sessions 3 and 4, without attending sessions 1 and 2.
DS31 - Nodegoat: Advanced Dating features, Monday, 20 June, 14:00-17:00, online
In this session, we will explore the various options offered by the Chronology Statements feature of nodegoat. You will learn how to store, filter, and visualise complex and vague dates. Exemplary use cases involve: a letter was sent in the summer of 1671, a person was employed two years after their graduation, or visualise books published in the 'romantic era'.
DS32 - Nodegoat: Data Reconciliation, Monday, 27 June, 14:00-17:00, online
This session will cover the usage of Reconciliation Processes. You will learn how to reconcile heterogeneous datasets in order to establish references between Objects. As an example, we will reconcile a list of spatial statements with full-text transcriptions of letters. This process will give a spatial overview of the geographical scope covered by the letters.
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LAB1100 is a research and development firm established in 2011 by Pim van Bree and Geert Kessels. LAB1100 brings together skills in new media, history, and software development. Working together with universities, research institutes, and museums, LAB1100 has built the digital research platform nodegoat and produces interactive data visualisations.
PhD students of the Graduate Institute will be informed of each workshop by email. For any questions regarding registration to the workshop, please contact: emma.cranfield@graduateinstitute.ch
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This workshop series will focus on the usage of nodegoat, which is specifically developed as a data management, network analysis, and visualisation environment for research projects in the humanities.