ArticleScientific data2026
An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Scientific communities have recognized the importance of well-documented metadata generated during research. However, ensuring that metadata is findable, accessible, interoperable, and reusable (FAIR) remains a significant challenge. To address this, scientific communities are working towards making metadata available in semantically annotated knowledge graphs using semantic web technologies. In our proposed solution, the creation of a schema is initiated at the very beginning of the scientific process. This is transformed into a data collection platform using the electronic laboratory notebook framework, Herbie, which facilitates the automatic validation and semantic annotation of metadata. Using the example of synchrotron-radiation-based nano-computed-tomography measurements at a beamline, we demonstrate this approach. It effectively captures the complex metadata of such research instruments along with their various configurations, providing a user-friendly experience. We illustrate how Herbie converts all semantic documents into a user interface, ensuring that the entered data automatically meets all FAIR requirements. Additionally, we show how data can be extracted from the knowledge graph using SPARQL queries.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.