University Rennes 2 is the host institution of the ERC project "STAGE: From Stage to Data, the Digital Turn of Contemporary Performing Arts Historiography", winner of the ERC advanced 2022 call. STAGE proposes an innovative theoretical and methodological framework merging culture analytics, actor-network theory, data modeling, and computer vision to challenge conventional approaches to the paradigm shift of digital traces in performing arts studies. At the intersection of history, epistemology, and digital humanities, STAGE’s key goal is to move performing arts studies into a digital context to establish a new historiography of mise en scène and creative processes in Europe since WWII.

Reporting to the ERC STAGE project manager, Ms Clarisse Bardiot, professor in performing art studies, the data engineer will be responsible for implementing the project's Data Management Plan (DMP), collecting data and making it available (in line with FAIR (Findable, Accessible, Interoperable, Reusable) principles), as part of an interdisciplinary team of researchers, engineers and developers. He/she will work closely with libraries, archives and performing arts companies.

MAIN ACTIVITIES

1. data collection

• Identify and collect data relevant to the project
• Establish automated data collection processes from various sources
• Participate in archive digitization and OCR projects
• Contribute to establishing the performing arts ontology and defining the data model for the project.

2.data processing

• Enrich and encode data and metadata according to the established data model.
• Clean, pre-process and structure data to make it usable (corpus alignment, network visualization, metadata...)
• Ensure data interoperability with other systems
• Develop scripts and data transformation tools
• Propose IT solutions and ad hoc developments (in particular for the software for the study of creative processes also developed as part of the project”).

3. security and confidentiality

• Guarantee the security and confidentiality of the collected and processed data, in compliance with current ethical standards.
• Implement and manage the various procedures related to ethical data collection issues.

4.documentation

• Define and monitor the DMP in compliance with FAIR principles
• Document project data, tools and procedures, write data papers
• Technical watch on data processing technologies
• Documentary watch on performing arts and digital humanities

SECONDARY ACTIVITIES

5.communication

• Contribute to the project research blog
• Manage and update the project website

6 Collaboration

• Participate in team meetings and discussions to develop project solutions
• Support researchers (from PhD students to senior researchers) and students in the use of data
• Participate in the scientific life of the team: training courses, seminars and workshops.