Text mining resources for the life sciences

P Przybyła, M Shardlow, S Aubin, R Bossy… - Database, 2016 - academic.oup.com
Text mining is a powerful technology for quickly distilling key information from vast quantities
of biomedical literature. However, to harness this power the researcher must be well versed …

A practical guide to metabolomics software development

HY Chang, SM Colby, X Du, JD Gomez… - Analytical …, 2021 - ACS Publications
A growing number of software tools have been developed for metabolomics data processing
and analysis. Many new tools are contributed by metabolomics practitioners who have …

The OpenCitations Index: description of a database providing open citation data

I Heibi, A Moretti, S Peroni, M Soricetti - Scientometrics, 2024 - Springer
This article presents the OpenCitations Index, a collection of open citation data maintained
by OpenCitations, an independent, not-for-profit infrastructure organisation for open …

Bootstrap** a blockchain based ecosystem for big data exchange

J Chen, Y Xue - 2017 IEEE international congress on big data …, 2017 - ieeexplore.ieee.org
In recent years, data is becoming the most valuable asset. There are more and more data
exchange markets on Internet. These markets help data owners publish their datasets and …

Dealing with metadata quality: The legacy of digital library efforts

A Tani, L Candela, D Castelli - Information Processing & Management, 2013 - Elsevier
In this work, we elaborate on the meaning of metadata quality by surveying efforts and
experiences matured in the digital library domain. In particular, an overview of the …

When data sharing gets close to 100%: what human paleogenetics can teach the open science movement

P Anagnostou, M Capocasa, N Milia, E Sanna… - PloS one, 2015 - journals.plos.org
This study analyzes data sharing regarding mitochondrial, Y chromosomal and autosomal
polymorphisms in a total of 162 papers on ancient human DNA published between 1988 …

Computer science named entity recognition in the open research knowledge graph

J D'Souza, S Auer - International Conference on Asian Digital Libraries, 2022 - Springer
Abstract Domain-specific named entity recognition (NER) on Computer Science (CS)
scholarly articles is an information extraction task that is arguably more challenging for the …

OpenCitations meta

A Massari, F Mariani, I Heibi, S Peroni… - Quantitative Science …, 2024 - direct.mit.edu
OpenCitations Meta is a new database for open bibliographic metadata of scholarly
publications involved in the citations indexed by the OpenCitations infrastructure, adhering …

Entity deduplication in big data graphs for scholarly communication

P Manghi, C Atzori, M De Bonis, A Bardi - Data Technologies and …, 2020 - emerald.com
Purpose Several online services offer functionalities to access information from “big
research graphs”(eg Google Scholar, OpenAIRE, Microsoft Academic Graph), which …

[PDF][PDF] IDS as a foundation for open data ecosystems

F Kirstein, V Bohlen - … Data Spaces: The Ecosystem Approach to …, 2022 - library.oapen.org
Open data is a popular and fiourishing concept. The availability of open and structured data
is the foundation of new business models, citizen engagement, and scientific research …