Head Start is a web-based knowledge mapping software intended to give anyone a head start on their literature search (hence the name). It comes with a scalable backend that is capable of automatically producing knowledge maps from a variety of data sources.
To get started, clone this repository. Next, duplicate the file config.example.js in the root folder and rename it to config.js.
Make sure to have installed node version >= 18.20.0 and npm version >=10.7.0 (best way to install is with nvm, nvm install 18.20.0) and run the following command to install the Headstart dependencies:
npm install
We use webpack to build our client-side application. The development server is based on the webpack serve utility, which means that changes to files are tracked and the page is reloaded automatically. Run the local BASE example with the following command:
npm run example:base
The browser will automatically open a new window with the example.
You can run also run the PubMed example using npm run example:pubmed
If everything has worked out, you should see the example visualization.
Maintainer: Christopher Kittel ([email protected]), Maxi Schramm ([email protected]), and Peter Kraker ([email protected])
Authors: Thomas Arrow, Andrei Shket, Sergey Krutilin, Alexandra Shubenko, Jan Konstant, Asura Enkhbayar, Scott Chamberlain, Rainer Bachleitner, Yael Stein, Mike Skaug, Philipp Weissensteiner, and the Open Knowledge Maps team
- Open Knowledge Maps Search: Creates a visualisation on the fly based on a user's search in either BASE or PubMed.
- OKMaps Custom Services: Enable third parties to embed customisable search components and visualisations.
- VisConnect: Provides an interactive visual profile of a researcher’s work.
The frontend has been successfully tested with Chrome, Firefox, Safari and Microsoft Edge. Unfortunately, Internet Explorer is not supported due to the fact that it is not possible to insert HTML into a foreignObject.
More information can be found in the following papers:
Kraker, P., Beardmore, L., Hemila, M., Johann, D., Kaczmirek, L. & Schubert, C. (2024). Partizipative Modelle im Zusammenspiel von Bibliotheken und KI-Systemen: Drei Fallstudien zur Integration der visuellen Recherche-Plattform Open Knowledge Maps. B.I.T. Online, 27(4), 327-335.
Kraker, P., Goyal, G., Schramm, M., Akin, J., & Kittel, C. (2021). CoVis: A curated, collaborative & visual knowledge base for COVID-19 research. Zenodo. doi: 10.5281/zenodo.4586079
Kraker, P., Schramm, M., Kittel, C., Chamberlain, S., & Arrow, T. (2018). VIPER: The Visual Project Explorer. Zenodo. doi:10.5281/zenodo.2587129
Kraker, P., Kittel, C., & Enkhbayar, A. (2016). Open Knowledge Maps: Creating a Visual Interface to the World’s Scientific Knowledge Based on Natural Language Processing. 027.7 Journal for Library Culture, 4(2), 98–103. doi:10.12685/027.7-4-2-157
Kraker, P., Schlögl, C. , Jack, K. & Lindstaedt, S. (2015). Visualization of Co-Readership Patterns from an Online Reference Management System. Journal of Informetrics, 9(1), 169–182. doi:10.1016/j.joi.2014.12.003
Kraker, P., Körner, C., Jack, K., & Granitzer, M. (2012). Harnessing User Library Statistics for Research Evaluation and Knowledge Domain Visualization. Proceedings of the 21st International Conference Companion on World Wide Web (pp. 1017–1024). Lyon: ACM. doi:10.1145/2187980.2188236
Head Start is licensed under MIT.
This project has received funding from the European Union's Horizon 2020 and Horizon Europe research and innovation programmes, under grant agreement nos. 831644, 863420, and 101129751.