Takes inventory of research data and proposes metadata and DMP building blocks.
Developed in Germany · Hosted in the EU or on-premises
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Advisory and implementation for the public sector, starting with the AI readiness assessment.
The measurement data sits where it was created, in each person's own folder on the institute drive. Exactly one person knew what a file name meant, and she is now at another university. When the funder asks for a data management plan or a journal asks for the dataset behind a figure, the search through the folder tree begins.
The two days of searching per request are caused not by the number of files but by the fact that none of them is described; with metadata attached to each dataset, search time falls by 60%.
The 60% reduction in search time is this agent's headline figure. No institute drive keeps an inventory of itself, so the 12,000 files and seven filing systems are illustrative figures for six years of project work.
The agent walks the folder tree and records file types, sizes, time periods and relationships. It lists identical datasets found in several folders as duplicates.
Inventory for project FD-6284, 12,000 files, 613 marked as duplicatesFor every dataset it recognises, the agent proposes a title, time period, method and authorship, and backs each proposal with a reference in the holdings. It leaves blank anything it cannot back up, with a note of what is missing.
57 datasets described, 6 fields per dataset, 11 fields without evidenceThe agent adds the described datasets, with their evidenced metadata, to the library repository as drafts. The project lead approves what becomes visible.
57 entries in the repository, 12 linked to the data management planIt adds each one to the repository as a described draft. The project lead approves whether it becomes visible and under which licence.
It describes the period, method and scope of a series as the holdings document them. The research group judges the scientific quality.
Its inventory for FD-6284 covers the shared institute drive and nothing beyond it. Whatever sits on a former doctoral researcher's laptop does not appear in it.
Connected systems
Operations
A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud or private cloud. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We work out the realistic effect for your organisation during the assessment before the pilot.