Daniel Mietchen

Orcid: 0000-0001-9488-1870

Affiliations:
  • University of Virginia, Data Science Institute, Charlottesville, VA, USA


According to our database1, Daniel Mietchen authored at least 29 papers between 2009 and 2023.

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Bibliography

2023
Ten quick tips for editing Wikidata.
PLoS Comput. Biol., 2023

Making Mathematical Research Data FAIR: A Technology Overview.
CoRR, 2023

Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics.
CoRR, 2023

Automating the Use of Shape Expressions for the Validation of Semantic Knowledge in Wikidata.
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023

Ten Years of Wikidata: A Bibliometric Study.
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023

Preregistration: Comparing the Use of Wikidata and Wikipedia by Open-source Software Programmers on GitHub Repositories.
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023

Bravo MaRDI: A Wikibase Knowledge Graph on Mathematics.
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023

2022
Representing COVID-19 information in collaborative knowledge graphs: The case of Wikidata.
Semantic Web, 2022

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata.
PeerJ Comput. Sci., 2022

Letter to the Editor: FHIR RDF - Why the world needs structured electronic health records.
J. Biomed. Informatics, 2022

A formalization of one of the main claims of "Creative Commons licenses and the non-commercial condition: Implications for the re-use of biodiversity information" by Hagedorn et al. 20111.
Data Sci., 2022

A formalization of one of the main claims of "Cortex reorganization of Xenopus laevis eggs in strong static magnetic fields" by Mietchen et al. 20051.
Data Sci., 2022

Computational reproducibility of Jupyter notebooks from biomedical publications.
CoRR, 2022

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2019
Ten principles for machine-actionable data management plans.
PLoS Comput. Biol., 2019

Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation.
Proceedings of the Semantic Web - 16th International Conference, 2019

2018
Submit a Topic Page to PLOS Computational Biology and Wikipedia.
PLoS Comput. Biol., 2018

A Landscape Survey of ActiveDMPs.
Int. J. Digit. Curation, 2018

Geospatial data and Scholia.
Proceedings of the 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data co-located with 15th Extended Semantic Web Conference (ESWC 2018), 2018

2017
A multi-disciplinary perspective on emergent and future innovations in peer review.
F1000Research, 2017

Scholia and scientometrics with Wikidata.
CoRR, 2017

Scholia, Scientometrics and Wikidata.
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

2016
Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee).
PLoS Comput. Biol., 2016

2013
ISCB Computational Biology Wikipedia Competition.
PLoS Comput. Biol., 2013

2012
Topic Pages: <i>PLoS Computational Biology</i> Meets Wikipedia.
PLoS Comput. Biol., 2012

2011
Wikis in scholarly publishing.
Inf. Serv. Use, 2011

Collaborative platforms for streamlining workflows in Open Science.
Proceedings of the 6th Open Knowledge Conference, 2011

2010
Collaborative Structuring of Knowledge by Experts and the Public.
Proceedings of the 5th Open Knowledge Conference, 2010

2009
Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.
Frontiers Neuroinformatics, 2009


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