Exploring Computational Reproducibility in Jupyter Notebooks: Insights and Challenges The Spring Symposium 2024 of the Fachgruppe Database Systems (FG DB), March 12, 2024 (Slides, Link)
Reproducible Research with Data Provenance Guest Lecture, University of Passau, 24th January 2024
RExploring Metadata for ML and DL pipelines for reproducibility InsectAI COST Action - image analysis metadata workshop, Virtual, 7 June 2024
Reproducible Research: Responding to 6W and 1H Questions of Data Provenance The HEIBRiDS Lecture Series at Einstein Center Digital Future, Berlin, Germany, 5th January 2022 (Slides, Link)
The Story of an Open Science Experiment Max Planck Digital Library (MPDL) Open Science Days 2021, October 20, 2021 (Slides, Link)
Provenance and Reproducibility: a look into Jupyter Notebooks Thuringian RDM Days “Data documentation: A love note to the future!”, June 22, 2021 (Slides, Video, Link)
Contributions to Open Science for Reproducible Research QPTData Open Science Workshop 2020, January 23, 2020 (Slides, Link)
Data Provenance for Reproducible Research Dagstuhl Seminar 23372 'Human-Centered Approaches for Provenance in Automated Data Science', September 13, 2023 (Link)
A virtual “Werkstatt” for digitization in the sciences AIX Sciences Jena, ELLIS Unit Jena in collaboration with the Carl-Zeiss Foundation, November 27, 2023 (Link)
Computational reproducibility of Jupyter notebooks from biomedical publications Daniel Mietchen, Sheeba Samuel, JupyterCon, 10th May 2023, Paris, France (Slides, Link)
MLProvLab: Provenance Management for Data Science Notebooks Workshop on Data Engineering for Data Science (DE4DS) co-located with BTW 2023, March 7, 2023
Towards an Ontology Network Framework for Fostering Scientific Study Reproducibility and Interoperability Sheeba Samuel, Microverse Symposium, 5th September 2023, Jena (Link)
How Reproducible are the Results Gained with the Help of Deep Learning Methods in Biodiversity Research? Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel, TDWG, 9-13th October 2023, Australia (Link)
Towards Tracking Provenance from Machine Learning Notebooks 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, October 27, 2021
Towards an Ontology Network for the reproducibility of scientific studies 8th International Workshop on Ontologies and Conceptual Modeling, co-located with FOIS, 2021, September 13, 2021 (Slides, Link)
ProvBook Award Nomination for RDM Solutions, NFDI4Ing Conference, September 27, 2021 (Link)
ReproduceMeGit Award Nomination for RDM Solutions, NFDI4Ing Conference, September 27, 2021 (Link)
MLProvLab Award Nomination for RDM Solutions, NFDI4Ing Conference, September 27, 2021 (Link)
ProvBook: Capturing and Visualizing Provenance in Jupyter Notebooks for Reproducibility JupyterCon 2020, October 13, 2020 (Video, Link)
Analyzing the use and reproducibility of Jupyter Notebooks using ReproduceMeGit JupyterCon 2020, October 13, 2020 (Video, Link)
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks Provenance Week 2020, June 22, 2020 (Slides, Video, Link)
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles Provenance Week 2020, June 22, 2020 (Slides, Video, Link)
Contributions to Open Science for Understandability, Reproducibility and Reuse of Scientific Experiments, Birgitta König-Ries, Sheeba Samuel, Microverse Symposium 2020
Towards Integrative Data Management for Research on the Dynamic Balance of Microbial Communities, Maria Sorokina, Martin Hohmuth, David Schöne, Sheeba Samuel, Roman Gerlach, Aurélie Jost, Christoph Steinbeck, Birgitta König-Ries, Microverse Symposium 2020
A Provenance-based Semantic Approach to Support Understandability, Reproducibility, and Reuse of Scientific Experiments PhD Dissertation Defense December 20, 2019 (Slides)
Provenance-based Semantic Approach for the Reproducibility of Scientific Experiments ICEI2018 - The 10th International Conference on Ecological Informatics, September 27, 2018 (Link)
The Story of an Experiment: A Provenance-based Semantic Approach towards Research Reproducibility 11th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2018) December 4, 2018 (Slides, Link)
Integrative Data Management for Reproducibility of Microscopy Experiments 14th Extended Semantic Web Conference (ESWC) 2017 PhD Symposium, May 29, 2017 (Slides, Link)
Towards Reproducibility of Microscopy Experiments First International Workshop on Reproducible Open Science (RepScience 2016) September 9, 2016 (Slides, Link)
