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Data Science: Cite

Resources for scientific systems, methods, and processes for data scientists.

Citation Information

Elements of Data Citation

  • Author: Name(s) of each individual or organizational entity responsible for the creation of the dataset.

  • Date of Publication: Year the dataset was published or disseminated.

  • Title: Complete title of the dataset, including the edition or version number, if applicable.

  • Publisher and/or Distributor: Organizational entity that makes the dataset available by archiving, producing, publishing, and/or distributing the dataset.

  • Electronic Location or Identifier: Web address or unique, persistent, global identifier used to locate the dataset (such as a DOI). Append the date retrieved if the title and locator are not specific to the exact instance of the data you used.

These are the minimum elements required for dataset identification and retrieval. Fewer or additional elements may be requested by author guidelines or style manuals. Be sure to include as many elements as needed to precisely identify the dataset you have used.

from: ICPSR

APA Style

General Format

Author(s) (year). Title. [Data set]. Publisher. URL


O’Donohue, W. (2017). Content analysis of undergraduate psychology textbooks (ICPSR 21600; Version V1). [Data set]. ICPSR.

IEEE Recommendation

General Format

[number of reference] Author, Title. Location of publisher: publisher, date. [format]. Available: URL [accessed month dd, yyyy]

  • Author: First initial. Middle initial. Last name
  • Format: software used to render the file, e.g. csv or JSON
  • Available date: month abbreviated to three letters, January = Jan. dd, yyyy


[1] Hoen, B.D., Diffendorfer, J.E., Rand, J.T., Kramer, L.A., ​ ​Garrity, C.P., Hunt, H.E., United States Wind Turbine Database. U.S. Geological Survey, 2018. [JSON]. Available: [accessed Aug. 22, 2023]

Data Cite Recommendation

General Format

Creator (PublicationYear). Title. Version. Publisher [or Distributor]. (ResourceType.) Identifier

  • Creator: the author or producer of the dataset
  • Publication year: year that the dataset (and/or data visualization) was created
  • Title: the title of the dataset, followed by any information on the specific  version of the dataset referenced.
  • Publisher: the publisher or distributor of the dataset
  • Resource type: where available. For example: (dataset.)
  • Identifier: a unique identifier assigned to the dataset and/or data visualization. For citation purposes, DataCite recommends that DOI names are displayed as linkable, permanent URLs: vs doi: 10.6068/DP15E5374E97A17.


Organisation for Economic Co-operation and Development (OECD) (2018-04-06). Main Economic Indicators (MEI): Finance | Country: Argentina | Indicator ID: CCUS, 01/1959 - 12/2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource. (dataset). Dataset-ID: 062-003-004.

Literature Mapping

Literature mapping (related to Concept mapping) is a way to identify academic articles by exploring connections between the literature. Publications can be linked by citations, authors, funders, keywords, and other means. These connections can be realized by the use of free browser-based tools like the ones listed below

► Connected Papers

► LitMaps

► Open Knowledge Maps