Linked Data vs Curation Island

You can now use nodegoat to query SPARQL endpoints like Wikidata, DBpedia, the Getty Vocabularies (AAT, ULAN, TGN), and the British Museum. Through the nodegoat graphic interface you query linked data resources and store their URIs within your dataset. This means that you can search all people in Wikidata using the string 'Rembrandt' and select the URI of your choice (e.g. 'https://www.wikidata.org/wiki/Q5598'). By doing so, you add external identifiers to your dataset and introduce a form of authority control in your data. This will help to disambiguate objects (like persons/artworks with similar names) and also enhances the interoperability of your dataset. Both these aspects make it easier to share and reuse datasets.

These two advantages (data disambiguation and data interoperability) are useful for researchers who work on small(-ish) but complex datasets. Researchers who feel that 'automated' research processes are unattainable for them as their data may be dispersed, heterogeneous, incomplete, or only available in an analogue format, are more likely to rely on something like the old fashioned card catalogue system in which all relevant objects and their varying attributes and relations are described. Luckily, we can also use digital tools to create and maintain card catalogues (databases). For a historian who is mapping the art market of a seventeenth century Dutch town, a database is a very powerful tool to store and analyse all objects (persons, artworks etc.) and the relations between these objects. Still, if no external identifiers are used, this dataset is nothing but a curated island (even if the data is published!).

Curation Island

Curation & Linked Data

The process we describe here aims to connect the craftsmanship of research in the humanities to the interconnected world of massive repositories, graph databases and authority files. Other useful purposes of linked data resources for the humanities have already been described extensively, like using aggregation queries to analyse large collections, thesaurus comparison/matching, or performing automated metadata reconciliation as described by the Free Your Metadata initiative.[....]

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nodegoat as an Interactive Museum Installation: 20.000 letters visualised through time and space

The installation is located in the first section of the permanent exhibition. The wooden table has a cut-out (elevated) map of Europe as its surface. The visualisation is projected by a Barco F35 projector (WQXGA resolution). Visitors can interact with the installation by means of capacitive sensors.

We have developed an interactive installation for the new GRIMMWELT museum in Kassel, Germany. The installation visualises and lets visitors freely interact with the full correspondence network of Jacob and Wilhelm Grimm, involving a total of 20.000 letters and 1400 correspondence partners in a timespan of 80 years. The dataset of letters has been created by the Arbeitsstelle Grimm-Briefwechsel at the Institut für deutsche Literatur of the  Humboldt-Universität zu Berlin. We have developed the visualisation in cooperation with SPIN: Study Platform on Interlocking Nationalisms at the University of Amsterdam.

The installation implements a new geographical visualisation mode 'Movement' in nodegoat, in addition to the already available line-based 'Connection' mode. The Movement mode uses WebGL rendering (GPU) to animate large collections of objects smoothly. This mode also allows for a wide range of configuration parameters to finetune the visualisation to various scenarios. Due to the open and generic nature of nodegoat, we can now make use of the Movement mode for any other relevant dataset.

This short clip shows the new visualisation mode from within nodegoat:

A high resolution 1440p version of this clip is available here.[....]

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nodegoat Workshop at the Text Encoding Initiative Conference in Lyon 26-10-2015

Cheveux © Marie-Jeanne Gauthé, via http://tei2015.huma-num.fr/en/.

During this year's Text Encoding Initiative Conference in Lyon, from 26 to 31 October 2015, we will host a nodegoat workshop. The workshop will last a full day and will take place on 26 October. Register here.

In this workshop we will support participants to employ explorative visualisations based on their own TEI data by means of nodegoat. A good example of how nodegoat can be used to create, manage, visualise, analyse and present structured data is the project on romantic nationalism by Joep Leerssen of the University of Amsterdam. The public interface of this collaborative research project can be consulted via http://romanticnationalism.net, or read more about it in the brochure (PDF).[....]

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nodegoat Workshop at the Historical Network Conference in Lisbon on 16-9-2015

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.[....]

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