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Fingerprint Dive into the research topics where Anita de Waard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Ontology Engineering & Materials Science
Semantics Engineering & Materials Science
Information management Engineering & Materials Science
Knowledge representation Engineering & Materials Science
Metadata Engineering & Materials Science
Electrophysiology Engineering & Materials Science
Experiments Engineering & Materials Science
Thesauri Engineering & Materials Science

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Projects 2017 2022

Data Science initiative with Harvard University

Parkes, D., Dominici, F., de Waard, A., Fenwick, B., Gabriel, A. & Thompson, L.

06/1/1706/1/22

Project: Research

Creating a Unique Identifier Brokering System for the NIH Data Commons

Davis-Dusenbery, B. & de Waard, A.

09/1/1708/1/18

Project: Research

DARPA project: Extracting Cancer Abstracts with Carnegie Mellon University

Hovy, E. H., Burns, G. & de Waard, A.

01/1/1712/31/19

Project: Research

Research Output 2004 2019

Data discovery paradigms: User requirements and recommendations for data repositories

Wu, M., Psomopoulos, F., de Waard, A. & Khalsa, S. J., Jan 1 2019, In : Data Science Journal. 18, 1, 3.

Research output: Contribution to journalArticle

Open Access
Metadata
Search engines
Reusability
Application programming interfaces (API)
Interoperability

Poster - Alternative RDM service models for smaller research libraries

White, A., Zudilova-Seinstra, E. & Waard, A., 2019, Research Data Alliance Plenary 13.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Global Unique ID Broker part of the NIH Data Commons initiative

Waard, A., 2018

Research output: Non-textual formSoftware

Optimized Machine Learning Methods Predict Discourse Segment Type in Biological Research Articles

Cox, J., Harper, C. A. & de Waard, A., Jan 1 2018, Semantics, Analytics, Visualization - 3rd International Workshop, SAVE-SD 2017, and 4th International Workshop, SAVE-SD 2018, Revised Selected Papers. Osborne, F., Peroni, S., Vahdati, S. & González-Beltrán, A. (eds.). Springer Verlag, p. 95-109 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10959 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Machine Learning
Predict
Feature extraction
Classifiers