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The role of metadata in reproducible computational research
Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …
silico analyses, packaging the transformation of raw data to published results. In addition to …
Theory and practice of data citation
G Silvello - Journal of the Association for Information Science …, 2018 - Wiley Online Library
Citations are the cornerstone of knowledge propagation and the primary means of
assessing the quality of research, as well as directing investments in science. Science is …
assessing the quality of research, as well as directing investments in science. Science is …
Open research knowledge graph: next generation infrastructure for semantic scholarly knowledge
Despite improved digital access to scholarly knowledge in recent decades, scholarly
communication remains exclusively document-based. In this form, scholarly knowledge is …
communication remains exclusively document-based. In this form, scholarly knowledge is …
Towards a knowledge graph for science
The document-centric workflows in science have reached (or already exceeded) the limits of
adequacy. This is emphasized by recent discussions on the increasing proliferation of …
adequacy. This is emphasized by recent discussions on the increasing proliferation of …
Solvent: A mixed initiative system for finding analogies between research papers
Scientific discoveries are often driven by finding analogies in distant domains, but the
growing number of papers makes it difficult to find relevant ideas in a single discipline, let …
growing number of papers makes it difficult to find relevant ideas in a single discipline, let …
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Background The automation of data analysis in the form of scientific workflows has become
a widely adopted practice in many fields of research. Computationally driven data-intensive …
a widely adopted practice in many fields of research. Computationally driven data-intensive …
Technical and social issues influencing the adoption of preprints in the life sciences
NC Penfold, JK Polka - PLoS genetics, 2020 - journals.plos.org
Preprints are gaining visibility in many fields. Thanks to the exponential growth in
submissions to bioRxiv, an online server for preprints in biology, versions of manuscripts …
submissions to bioRxiv, an online server for preprints in biology, versions of manuscripts …
[PDF][PDF] Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference
DN Sosa, RB Altman - Briefings in bioinformatics, 2022 - academic.oup.com
The cost of drug development continues to rise and may be prohibitive in cases of unmet
clinical need, particularly for rare diseases. Artificial intelligence-based methods are …
clinical need, particularly for rare diseases. Artificial intelligence-based methods are …
[PDF][PDF] Biomedical text mining for research rigor and integrity: tasks, challenges, directions
H Kilicoglu - Briefings in bioinformatics, 2018 - academic.oup.com
An estimated quarter of a trillion US dollars is invested in the biomedical research enterprise
annually. There is growing alarm that a significant portion of this investment is wasted …
annually. There is growing alarm that a significant portion of this investment is wasted …
Why it takes a village to manage and share data
CL Borgman, PE Bourne - arxiv preprint arxiv:2109.01694, 2021 - arxiv.org
Implementation plans for the National Institutes of Health policy for data management and
sharing, which takes effect in 2023, provide an opportunity to reflect on the stakeholders …
sharing, which takes effect in 2023, provide an opportunity to reflect on the stakeholders …