Archival research in the digital age is frequently characterized by "tool fatigue", where scholars must navigate a disconnected archipelago of software solutions. A historian might store scans in a commercial cloud, manage citations in a desktop manager, perform OCR in a proprietary "black box", and attempt visualizations in yet another isolated platform. This disjointed approach leads to data silos, loss of context, and significant friction when moving between individual stages of research. Furthermore, the reliance on proprietary ecosystems often compromises the long-term sustainability and reproducibility of research data, which represent the core values of the FAIR principles and DH communities.

The proposed poster addresses these systemic issues by demonstrating a unified technical pipeline that is modular, open-source, and accessible. Utilizing OwnCloud, Zotero, Arkindex, Nodegoat, and Logseq it moves beyond the demonstration of single tools to focus on the connectivity between them. The core idea of the proposed pipeline is interoperability: ensuring that data flows seamlessly from on-site scanning to final visualization via standard protocols (WebDAV, APIs) and open formats (Markdown, JSON, XML). The pipeline advocates for a shift from ad-hoc tool adoption to a structured, engineered approach to humanities data.