Klein, Rana

Noordegraaf, Julia

Ordelman, Roeland

Sanders, Willemien

van Gorp, Jasmijn

Wigham, Mari

Windhouwer, Menzo

Zijdeman, Richard L.

English

University of Twente Research Information

Data Stories in CLARIAH – Developing a Research Infrastructurefor Storytelling with Heritage and Culture DataRoeland Ordelman Willemien Sanders Richard L. ZijdemanRana Klein Julia Noordegraaf Jasmijn Van GorpMari Wigham Menzo WindhouwerABSTRACTOnline stories, from blog posts to journalistic articles to scientificpublications, are commonly illustrated with media (e.g. images,audio clips) or statistical summaries (e.g. tables and graphs). Such“illustrations” are the result of a process of acquiring, parsing, fil-tering, mining, representing, refining and interacting with data [3].Unfortunately, such processes are typically taken for granted andseldom mentioned in the story itself. Although recently a wide vari-ety of interactive data visualisation techniques have been developed(see e.g., [6]), in many cases the illustrations in such publicationsare static; this prevents different audiences from engaging withthe data and analyses as they desire. In this paper, we share ourexperiences with the concept of “data stories” that tackles both is-sues, enhancing opportunities for outreach, reporting on scientificinquiry, and FAIR data representation [9].In journalism data stories are becoming widely accepted as theoutput of a process that is in many aspects similar to that of acomputational scholar: gaining insights by analyzing data sets us-ing (semi-)automatized methods and presenting these insights us-ing (interactive) visualizations and other textual outputs based ondata [4] [7] [5] [6].In the context of scientific output, data stories can be regardedas digital “publications enriched with or linking to related researchresults, such as research data, workflows, software, and possiblyconnections among them” [1]. However, as infrastructure for (peer-reviewed) enhanced publications is in an early stage of development(see e.g., [2]), scholarly data stories are currently often produced asblog posts, discussing a relevant topic. These may be accompaniedby illustrations not limited to a single graph or image but charac-terized by different forms of interactivity: readers can, for instance,change the perspective or zoom level of graphs, or cycle throughimages or audio clips.Having experimented successfully with various types and usesof data stories1 in the CLARIAH2 project, we are working towardsa more generic, stable and sustainable infrastructure to create, pub-lish, and archive data stories. This includes providing environmentsfor reproduction of data stories and verification of data via “closereading”. From an infrastructure perspective, this involves the pro-visioning of services for persistent storage of data (e.g. triple stores),data registration and search (registries), data publication (SPARQLend-points, search-APIs), data visualization, and (versioned) querycreation. These services can be used by environments to developdata stories, either or not facilitating additional data analysis steps.1see e.g., https://stories.datalegend.net/ and https://mediasuitedatastories.clariah.nl/2clariah.nlFor data stories that make use of data analysis, for example viaJupyter Notebooks [8], the infrastructure also needs to take com-putational requirements (load balancing) and restrictions (security)into account. Also, when data sets are restricted for copyright orprivacy reasons, authentication and authorization infrastructure(AAI) is required.The large and rich data sets in (European) heritage archivesthat are increasingly made interoperable using FAIR principles, areeminently qualified as fertile ground for data stories. We thereforehope to be able to present our experiences with data stories, shareour strategy for a more generic solution and receive feedback onshared challenges.Acknowledgement. Thisworkwasmade possible by the CLARIAH-PLUS project funded by NWO (Grant 184.034.023), and the PDI-SSHproject SANE (https://pdi-ssh.nl/en/2021/11/funded-projects-2021-call/)KEYWORDSdata stories, data sets, storytelling, digital journalism, digital hu-manities, enhanced publicationsREFERENCES[1] Alessia Bardi and Paolo Manghi. 2015. A framework supporting the shift fromtraditional digital publications to enhanced publications. D-Lib Magazine 21, 1(2015), 1–1. https://doi.org/10.1045/january2015-bardi[2] Andreas Fickers and Frédéric Clavert. 2021. On pyramids, prisms, and scalablereading. Journal of Digital History 1, 1 (2021).[3] Ben Fry. 2008. Visualizing data: Exploring and explaining data with the processingenvironment. " O’Reilly Media, Inc.".[4] Jonathan Gray and Liliana Bounegru. 2021. Introduction. Amsterdam UniversityPress, 11–24. https://doi.org/10.1017/9789048542079.001[5] Edward Segel and Jeffrey Heer. 2010. Narrative visualization: Telling storieswith data. IEEE transactions on visualization and computer graphics 16, 6 (2010),1139–1148.[6] Charles D. Stolper, Bongshin Lee, Nathalie Henry Riche, and John Stasko. [n. d.].Emerging and Recurring Data-Driven Storytelling Techniques: Analysis of aCurated Collection of Recent Stories. ([n. d.]). https://www.microsoft.com/en-us/research/publication/emerging-and-recurring-data-driven-storytelling-techniques-analysis-of-a-curated-collection-of-recent-stories/[7] Wibke Weber, Martin Engebretsen, and Helen Kennedy. 2018. Data stories: Re-thinking journalistic storytelling in the context of data journalism. Studies inCommunication Sciences 2018, 1 (2018), 191–206.[8] Mari Wigham, Liliana Melgar, and Roeland Ordelman. 2018. Jupyter Notebooksfor generous archive interfaces. In 2018 IEEE International Conference on Big Data(Big Data). IEEE, 2766–2774.[9] Mark D Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Apple-ton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Boninoda Silva Santos, Philip E Bourne, et al. 2016. The FAIR Guiding Principles forscientific data management and stewardship. Scientific data 3 (2016).

Data Stories in CLARIAH – Developing a Research Infrastructure for Storytelling with Heritage and Culture Data

https://ris.utwente.nl/ws/files/378704759/abstract_DARIAH_CLARIAH_Data_Stories-20220225.pdf

Data Stories in CLARIAH – Developing a Research Infrastructure for Storytelling with Heritage and Culture Data

Abstract

Similar works

Full text

Available Versions

University of Twente Research Information