Single autodidacts, local labs, university centres, national, and transnational structures – there are many ways in which scholars pursue DLS projects. The global, diverse, and dynamic developments of the past few years alone have demonstrated that “DH infrastructures for Digital Literary Stylistics” is a timely topic.
Taking seriously this factor, the SIG DLS pre-conference workshop at the international conference DH2022 in Tokyo will ask about the current forms and functions of digital infrastructures for DLS, at a diverse global level.
- What types of infrastructure are used by whom to what ends? What particular functions are used?
- Where and why are scholars missing infrastructure?
- And also: can there be too much emphasis on infrastructure in certain contexts?
In particular, we will try to apply the notion of FAIR (findable, accessible, interoperable, reusable) and more broadly of Open Data best practices, including data citation to the DLS domain, with a critical perspective.
Research infrastructures, in particular in Europe, have provided tools and methods for the application of FAIR principles. ERICs such as CLARIN and DARIAH have been offering in particular data deposit (with persistent identifiers to cite collections), guidance for licences, standardised metadata, support for open standards, interoperable tools and platforms, access via single sign on, and also training to develop new competences for scholars. More recently the Computational Literary Studies (CLS) infrastructural project has been launched, as well as the German National research infrastructure text+, both of which aim to build a shared resource of high-quality data, tools and knowledge to aid new approaches to studying literature in the digital age.
At the same time, several problems still prevent data sharing, citation, reuse in DLS. These are of legal, technical, but also disciplinary nature. While European (or national) infrastructures may offer a partial solution to these problems, can we say that this is enough? And is it an exportable model?
In this workshop on 25 July 2022 we want to tackle the issues of making DLS research data FAIR, taking into account what RIs can offer but also the intrinsic limitations. We do so by inviting three short inputs, representing the perspectives of infrastructures and of researchers, followed by a discussion. Here, prompts from a forth speaker on the Japanese and East Asian research context will be given, addressing FAIR DLS from a diverse and global perspective.
We will also collect feedback from researchers prior to and during the meeting, and we envisage the possibility of a position paper on the issue after the conferece.
10:30 – 11:15 UTC Discussion with attendees (confirmed short provoker keynote by Chifumi Nishioka: Asian Diversity in DH)
11:15 – 11:30 UTC Wrap up
11:30 – 12:00 UTC SIG’s members’ meeting
Info and registration: https://dh2022.adho.org/workshops-and-tutorials
Organizers: Berenike Herrmann, Simone Rebora, Francesca Frontini, Anne-Sophie Bories