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Open data products-A framework for creating valuable analysis ready data.

Dani Arribas-Bel1, Mark Green1, Francisco Rowe1

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This summary is machine-generated.

Open data products transform diverse data into accessible information, promoting transparency and societal impact. This approach unlocks insights from sensitive data and enhances geographic analysis for the public good.

Keywords:
Geographic data scienceOpen dataOpen source

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Area of Science:

  • Geographic Information Science
  • Data Science
  • Open Science

Background:

  • The current data revolution presents unprecedented data sources with high temporal and geographic resolution.
  • Challenges include data fragmentation, unstructured formats, and access barriers due to privacy concerns.
  • Existing datasets often do not meet the need for accessible, value-added information.

Purpose of the Study:

  • To define and develop the concept of an "open data product".
  • To advocate for open principles in data processing and dissemination.
  • To highlight the benefits and necessity of open data products in the modern data landscape.

Main Methods:

  • Defining "open data product" as an accessible information outcome from various data sources.
  • Emphasizing the adherence to open (geographic) data science principles: openness, transparency, and reproducibility.
  • Stressing the importance of outreach through dashboards, software, and publications for end-user engagement and societal impact.

Main Results:

  • Open data products enable insights from sensitive or controlled data.
  • They leverage commercial and administrative data for public good, offering high temporal and geographic granularity.
  • Transformation of raw data into open data products unlocks new dimensions for analyzing human geographical processes.

Conclusions:

  • Open data products are crucial for navigating the complexities of the data revolution.
  • They offer significant benefits by making diverse and sensitive data accessible and actionable.
  • The emergence of open data products parallels the impact of open-source software on spatial analysis research.