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Long-term users of engineering product data are hampered by the ephemeral nature of CAD file formats and the applications that work with them.
Critics, however, warn that newspaper data are hampered by selection, description and researcher bias.
Further, existing data are hampered by methodological issues, including reverse causality, lack of adjustment for some potential confounding factors, and inadequate statistical power owing to a small number of cases.
While data from these networks are readily available and have proven to be useful for epidemiologic studies, such data are hampered by limited availability, frequency, and locations of measurements as well as the species being measured.
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Whole genome sequencing (WGS) has revolutionized the subtyping of Legionella pneumophila but calling the traditional sequence-based type from genomic data is hampered by multiple copies of the mompS locus.
Meta-analysis of these data is hampered by technical limitations due to many different platforms, gene annotations and probes used in different studies.
As will be noted below, interpretation of those data is hampered by possible biases in bacterial culturability and by the lack of information about the sizes of individual lizard hosts.
If quality of data is hampered from the start, it cannot be restored later on.
However, in children the interpretation of echocardiographic data is hampered by various problems.
Currently, efficient reuse of data is hampered by problems related to public data availability, data quality, database interoperability (the ability to exchange information), standardization and sustainability.
Testing the performance of NGS-based variant predictions in real human data is hampered by the availability of a gold standard dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com