A review on method entities in the academic literature: Extraction, evaluation, and application
In scientific research, the method is an indispensable means to solve scientific problems and
a critical research object. With the advancement of sciences, many scientific methods are …
a critical research object. With the advancement of sciences, many scientific methods are …
Model organism data evolving in support of translational medicine
Abstract Model organism databases (MODs) have been collecting and integrating
biomedical research data for 30 years and were designed to meet specific needs of each …
biomedical research data for 30 years and were designed to meet specific needs of each …
The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
Motivation Biomedical ontologists to date have concentrated on ontological descriptions of
biomedical entities such as gene products and their attributes, phenotypes and so on …
biomedical entities such as gene products and their attributes, phenotypes and so on …
Somesci-a 5 star open data gold standard knowledge graph of software mentions in scientific articles
D Schindler, F Bensmann, S Dietze… - Proceedings of the 30th …, 2021 - dl.acm.org
Knowledge about software used in scientific investigations is important for several reasons,
for instance, to enable an understanding of provenance and methods involved in data …
for instance, to enable an understanding of provenance and methods involved in data …
A survey of bioinformatics database and software usage through mining the literature
Computer-based resources are central to much, if not most, biological and medical research.
However, while there is an ever expanding choice of bioinformatics resources to use …
However, while there is an ever expanding choice of bioinformatics resources to use …
[PDF][PDF] Discovering data sets through machine learning: An ensemble approach to uncovering the prevalence of government-funded data sets
R Hausen, H Azarbonyad - Harvard Data Science Review, 2024 - assets.pubpub.org
The prevalence of government-funded dataset usage has yet to be comprehensively tracked
and understood. The lack of a standardized citation methodology has thus far prevented the …
and understood. The lack of a standardized citation methodology has thus far prevented the …
Dmdd: A large-scale dataset for dataset mentions detection
The recognition of dataset names is a critical task for automatic information extraction in
scientific literature, enabling researchers to understand and identify research opportunities …
scientific literature, enabling researchers to understand and identify research opportunities …
Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse
H Park, D Wolfram - Journal of Informetrics, 2019 - Elsevier
The aim of this study is to explore the phenomenon of research software citation and, in
particular, to draw attention to the increasing importance of this form of citation in scholarly …
particular, to draw attention to the increasing importance of this form of citation in scholarly …
Investigating software usage in the social sciences: A knowledge graph approach
D Schindler, B Zapilko, F Krüger - European Semantic Web Conference, 2020 - Springer
Abstract Knowledge about the software used in scientific investigations is necessary for
different reasons, including provenance of the results, measuring software impact to attribute …
different reasons, including provenance of the results, measuring software impact to attribute …
The automatic detection of dataset names in scientific articles
J Heddes, P Meerdink, M Pieters, M Marx - Data, 2021 - mdpi.com
We study the task of recognizing named datasets in scientific articles as a Named Entity
Recognition (NER) problem. Noticing that available annotated datasets were not adequate …
Recognition (NER) problem. Noticing that available annotated datasets were not adequate …