Data Availability Statement Examples

Authors are expected to provide a Data Availability Statement in their article immediately following the Acknowledgments section that details where data are available, and how the data can be accessed and reused (listing specific restrictions, if any). If the data underlying the article cannot be made available or reused, the Data Availability Statement should describe as completely as possible the process needed to reproduce the results of the study, including a link to detailed documentation and contact information of the responsible data manager (see the sixth set of examples below).

Examples of some common types of data availability statements are included below. Please refer to Data Archiving Guidance for additional information about identifying an appropriate repository if needed. Use the AMS Data Reference and Citation Examples page to ensure your data citations follow AMS style when finalizing your manuscript.

  1. Datasets are available in a funder-mandated or public (institutional, general, or subject-specific) repository that assigns persistent identifiers to datasets.
    • Example: “All sea ice concentration data created or used during this study are openly available from the NASA National Snow and Ice Data Center Distributed Active Archive Center at as cited in Cavalieri et al. (1996).”
  2. Datasets published in the literature.
  3. Datasets derived from public resources and made available with the article.
    • Example 1: Data analyzed in this study were a re-analysis of existing data, which are openly available at locations cited in the reference section. Further documentation about data processing is available at [repository name] at [insert DOI here].
    • Example 2: Datasets analyzed during the current study are available in the [repository name] [identifying doi or persistent URL] [Reference number]. These datasets were derived from the following public domain resources: [list resources and their URLs].
  4. Data sharing not applicable (e.g., for review articles or theory-based articles).
    • Example: “No datasets were generated or analyzed during the current study.”
  5. Datasets that are restricted and not publicly available. 
    • Example 1: "Due to its proprietary nature <or ethical concerns>, supporting data cannot be made openly available. Further information about the data and conditions for access are available at the [repository name] at [insert DOI here]."
    • Example 2: "Due to confidentiality agreements, supporting data can only be made available to bona fide researchers subject to a non-disclosure agreement. Details of the data and how to request access are available from [data manager contact info] at [institution where data reside]."
    • Example 3: "Due to privacy and ethical concerns, neither the data nor the source of the data can be made available."
  6. No valid data repositories exist. In rare cases where no valid data repositories are identified after reviewing all resources, including information specified on the Data Archiving Guidance page, authors must provide a transparent process for making the data available to others.
    • Example 1: "The dataset on which this paper is based is too large to be retained or publicly archived with available resources. Documentation and methods used to support this study are available from [data manager contact info] at [institution]."
    • Example 2: "The authors were unable to find a valid data repository for the data used in this study. These data are available from [data manager contact info] at [host institution]."
    • Example 3: “The numerical model simulations upon which this study is based are too large to archive or to transfer.  Instead, we provide all the information needed to replicate the simulations; we used model version [V#.#].  The model code, compilation script, initial and boundary condition files, and the namelist settings are available at [DOI or permanent URL].”

An excellent source for more examples of data availability statements can be found at the University of Bath Research Data Archive.