Annika Jacobsen

Orcid: 0000-0003-4818-2360

According to our database1, Annika Jacobsen authored at least 22 papers between 2015 and 2023.

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Bibliography

2023
The use of foundational ontologies in biomedical research.
J. Biomed. Semant., December, 2023

A Resource for Guiding Data Stewards to Make European Rare Disease Patient Registries FAIR.
Data Sci. J., January, 2023

Surveyed common data access policies preferences amongst European Reference Networks.
Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

A Method to Facilitate the Identification of FAIRification Objectives.
Proceedings of the International Conference on Biomedical Ontologies 2023 together with the Workshop on Ontologies for Infectious and Immune-Mediated Disease Data Science (OIIDDS 2023) and the FAIR Ontology Harmonization and TRUST Data Interoperability Workshop (FOHTI 2023), Brasília, Brazil, August 28, 2023

A goal-oriented method for FAIRification planning.
Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023

2022
Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic.
J. Biomed. Semant., 2022

Semantic modelling of common data elements for rare disease registries, and a prototype workflow for their deployment over registry data.
J. Biomed. Semant., 2022

The Use of Foundational Ontologies in Bioinformatics.
Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022

2021
De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data.
J. Biomed. Informatics, 2021

2020
FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources.
Data Intell., 2020

The FAIR Principles: First Generation Implementation Choices and Challenges.
Data Intell., 2020

A Generic Workflow for the Data FAIRification Process.
Data Intell., 2020

FAIR Principles: Interpretations and Implementation Considerations.
Data Intell., 2020

A framework for exhaustive modelling of genetic interaction patterns using Petri nets.
Bioinform., 2020

Applying the FAIR Data Principles to the Registry of Vascular Anomalies (VASCA).
Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020

2019
The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.
PLoS Comput. Biol., 2019

The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data.
CoRR, 2019

2018
Wikidata as an intuitive resource towards semantic data modeling in data FAIRification.
Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences, 2018

2017
Overview of a Suite of Tools and Training Material for Implementing FAIR Data Principles.
Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017

The FAIRification of Data and the Potential of FAIR Resources Demonstrated, in Practice, at the Rome Bring Your Own Data Workshop.
Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017

2016
BioASF: a framework for automatically generating executable pathway models specified in BioPAX.
Bioinform., 2016

2015
Highlights from the tenth ISCB Student Council Symposium 2014.
BMC Bioinform., 2015


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