Work

FAIR Jupyter

Year: 2024

Type: article

Abstract: This repository hosts the slides for a talk given on 17 September 2024 at 5. SaxFDM 2024 in TU Bergakademie Freiberg on the topic "FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset" as part of the SaxFDM Open Data Award 2024. More information on FAIR Jupyter is available here: https://w3id.org/fairjupyter The publication on FAIR Jupyter: Sheeba Samuel, Daniel Mietchen, FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset, arXiv preprint arXiv:2404.12935, https://doi.org/10.48550/arXiv.2404.12935

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13766012

Authors: Sheeba Samuel, Daniel Mietchen

Institutions: Chemnitz University of Technology, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6911700354

FWCI:

Cites:

Cited by:

Related to: