ArticleJournal of biomolecular NMR2015
CONNJUR R: an annotation strategy for fostering reproducibility in bio-NMR-protein spectral assignment.
Article in Journal of biomolecular NMR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- The 100-protein NMR spectra dataset: A resource for biomolecular NMR data analysis.Scientific data · 2024Article
- SpecDB: A relational database for archiving biomolecular NMR spectral data.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022Article
- Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy.International journal of digital curation · 2018Article
- NMRbox: A Resource for Biomolecular NMR Computation.Biophysical journal · 2017Article
- Workflows and Provenance: Toward Information Science Solutions for the Natural Sciences.Library trends · 2017Article
- Integrative NMR for biomolecular research.Journal of biomolecular NMR · 2016Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Reproducibility is a cornerstone of the scientific method, essential for validation of results by independent laboratories and the sine qua non of scientific progress. A key step toward reproducibility of biomolecular NMR studies was the establishment of public data repositories (PDB and BMRB). Nevertheless, bio-NMR studies routinely fall short of the requirement for reproducibility that all the data needed to reproduce the results are published. A key limitation is that considerable metadata goes unpublished, notably manual interventions that are typically applied during the assignment of multidimensional NMR spectra. A general solution to this problem has been elusive, in part because of the wide range of approaches and software packages employed in the analysis of protein NMR spectra. Here we describe an approach for capturing missing metadata during the assignment of protein NMR spectra that can be generalized to arbitrary workflows, different software packages, other biomolecules, or other stages of data analysis in bio-NMR. We also present extensions to the NMR-STAR data dictionary that enable machine archival and retrieval of the "missing" metadata.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.