Computational Literary Studies Infrastructure (CLSINFRA): a H2020 Research Infrastructure Project that aids to connect researchers, data, and methods
Creators: name: Birkholz, Julie M.
name: Börner, Ingo
name: Chambers, Sally
name: Cinková, Silvie
name: van Dalen-Oskam, Karina
name: Dejaeghere, Tess
name: Dudar, Julia
name: Eder, Maciej
name: Edmond, Jennifer
name: Garnett, Vicky
name: Kren, Michal
name: Mrugalski, Michal
name: Murphy, Ciara L.
name: Odebrecht, Carolin
name: Papaki, Eliza
name: Raciti, Marco
name: van Rossum, Lisanne
name: Schöch, Christof
name: Šela, Artjoms
name: Sharma, Srishti
name: Tonra, Justin
name: Tóth-Czifra, Erzsébet
name: Trilcke, Peer
Publisher: name: Zenodo
Year: 2022
Subjects: Digital Humanities
Computational Literary Studies
EU funded

description: The aim of this poster is to provide an overview of the principal objectives of the newly started H2020<br> Computational Literary Studies (CLS) project- https://www.clsinfra.io. CLS is a infrastructure project<br> works to develop and bring together resources of high-quality data, tools and knowledge to aid new<br> approaches to studying literature in the digital age. Conducting computational literary studies has a<br> number of challenges and opportunities from multilingual and bringing together distributing<br> information. At present, the landscape of literary data is diverse and fragmented. Even though many<br> resources are currently available in digital libraries, archives, repositories, websites or catalogues, a lack<br> of standardisation hinders how they are constructed, accessed and the extent to which they are reusable<br> (Ciotti 2014). CLS project aims to federate these resources, with the tools needed to interrogate them,<br> and with a widened base of users, in the spirit of the FAIR and CARE principles (Wilkinson et al. 2016).<br> The resulting improvements will benefit researchers by bridging gaps between greater- and lesser-<br> resourced communities in computational literary studies and beyond, ultimately offering opportunities<br> to create new research and insight into our shared and varied European cultural heritage.<br> Rather than building entirely new resources for literary studies, the project is committed to exploiting<br> and connecting the already-existing efforts and initiatives, in order to acknowledge and utilize the<br> immense human labour that has already been undertaken. Therefore, the project builds on recently-<br> compiled high-quality literary corpora, such as DraCor and ELTeC (Fischer et al. 2019, Burnard et al. 2021,<br> Schöch et al. in press), integrates existing tools for text analysis, e.g. TXM, stylo, multilingual NLP<br> pipelines (Heiden 2010, Eder et al. 2016), and takes advantage of deep integration with two other<br> infrastructural projects, namely the CLARIN and DARIAH ERICs. Consequently, the project aims at<br> building a coherent ecosystem to foster the technical and intellectual findability and accessibility of<br> relevant data. The ecosystem consists of (1) resources, i.e. text collections for drama, poetry and prose in<br> several languages, (2) tools, (3) methodological and theoretical considerations, (4) a network of CLS<br> scholars based at different European institutions, (5) a system of short-term research stays for both early<br> career researchers and seasoned scholars, (6) a repository for training materials, as well as (7) an<br> efficient dissemination strategy. This is achieved through a collaboration between participating<br> institutions: Institute of Polish Language at the Polish Academy of Sciences, Poland; University of<br> Potsdam, Germany; Austrian Academy of Sciences, Austria; National University of Distance Education,<br> Spain; École Normale Supérieure de Lyon, France; Humboldt University of Berlin, German; Charles<br> University, Czech Republic; Digital Research Infrastructure for the Arts and Humanities, France; Ghent<br> Centre for Digital Humanities, Ghent University, Belgium; Belgrade Centre for Digital Humanities, Serbia;<br> Huygens Institute for the History of the Netherlands (Royal Netherlands Academy of Arts and Sciences),<br> Netherlands; Trier Center for Digital Humanities, Trier University, Germany; Moore Institute, National<br> University of Ireland Galway, Ireland; This project has received funding from the European Union’s Horizon 2020 research and innovation<br> programme under grant agreement No 101004984.<br> <br> References<br> Ciotti, Fabio. 2014. „Digital literary and cultural studies: the state of the art and<br> perspectives“.Between4/8, 1-17.https://doi.org/10.13125/2039-6597/1392.<br> Borgman, Christine. 2010. Scholarship in the Digital Age : Information, Infrastructure, andthe Internet.<br> Cambridge, Mass &amp; London: MIT Press. See https://www.dariah.euandhttps://www.clarin.eu.<br> Burnard, Lou, Christof Schöch, and Carolin Odebrecht. 2021. „In search of comity: TEI fordistant<br> reading“.Journal of the Text Encoding Initiative. https://doi.org/10.4000/jtei.3500.<br> Eder, M., Rybicki, J. and Kestemont, M. 2016. Stylometry with R: a package forcomputational text<br> analysis.R Journal, 8(1): 107-21.https://journal.r-project.org/archive/2016/RJ-2016-007/index.html<br> Fischer, Frank, Ingo Börner, Matthias Göbel, Andrea Hechtl, Christopher Kittel, P. Miling, andPeer Trilcke.<br> 2019. „Programmable Corpora: Introducing DraCor, an Infrastructure for theResearch on European<br> Drama“. InBook of Abstractsof the Digital Humanities Conference2019. Utrecht: ADHO.<br> Heiden, Serge. 2010. The TXM Platform: Building Open-Source Textual Analysis SoftwareCompatible with<br> the TEI Encoding Scheme. In24th PacificAsia Conference on Language,Information and Computation(pp.<br> 10 p.). Sendai, Japon.Retrieved<br> fromhttp://halshs.archivesouvertes.fr/docs/00/54/97/64/PDF/paclic24_sheiden.pdf<br> Schöch, Christof, Tomaz Erjavec, Roxana Patras, and Diana Santos (in press). „Creatingthe European<br> Literary Text Collection (ELTeC): Challenges and Perspectives”.ModernLanguages Open.<br> Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, MylesAxton, Arie<br> Baak, Niklas Blomberg. 2016. „The FAIR Guiding Principles for Scientific DataManagement and<br> Stewardship“.Scientific Data 3(1).https://doi.org/10.1038/sdata.2016.18.