2022
DOI: 10.3847/1538-4365/ac6268
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Best Practices for Data Publication in the Astronomical Literature

Abstract: We present an overview of best practices for publishing data in astronomy and astrophysics journals. These recommendations are intended as a reference for authors to help prepare and publish data in a way that will better represent and support science results, enable better data sharing, improve reproducibility, and enhance the reusability of data. Observance of these guidelines will also help to streamline the extraction, preservation, integration and cross-linking of valuable data from astrophysics literatur… Show more

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Cited by 6 publications
(3 citation statements)
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“…Challenges encountered while constructing the NED-LVS, as well as future improvements as new data become available, point to the importance of following best practices when publishing redshifts and other measurements (Chen et al 2022). This includes listing accurate and meaningful uncertainty estimates for redshifts, with a realistic number of significant figures, and clearly flagging unreliable redshifts due to low signal-to-noise, contamination in the aperture, limitations of photometric redshift techniques or model-fitting assumptions, etc.…”
Section: Limitations Of Ned-lvsmentioning
confidence: 99%
“…Challenges encountered while constructing the NED-LVS, as well as future improvements as new data become available, point to the importance of following best practices when publishing redshifts and other measurements (Chen et al 2022). This includes listing accurate and meaningful uncertainty estimates for redshifts, with a realistic number of significant figures, and clearly flagging unreliable redshifts due to low signal-to-noise, contamination in the aperture, limitations of photometric redshift techniques or model-fitting assumptions, etc.…”
Section: Limitations Of Ned-lvsmentioning
confidence: 99%
“…There are significant benefits to the scientific community by investing effort into ensuring that published data follows best practices (Chen et al 2022). While some of these best practices are very widespread (e.g., including uncertainties on all measured quantities), they remain nonuniversal (e.g., Kim et al 2016 reported RMs with no uncertainties); other best practices are much more uncommon, such as including important observation metadata (e.g., observation dates, which we found in only approximately one-fourth of published RM catalogs).…”
Section: Introductionmentioning
confidence: 99%
“…we have for the object. All names should start with "J" when used in the text (as perChen et al 2022), but are not listed as such here just for space considerations.…”
mentioning
confidence: 99%