Data Principles

Our Data Principles formulate transparency and trustworthiness on how we work with data. Developed alongside HOT’s values, our data principles serve as a framework for ethical data policies and guide HOT’s Protection Framework.

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Icons_Data Principles_Open and Accessible Open and Accessible

What this means:

Contribute to and advocate for open data, first and foremost OpenStreetMap, and enable anyone to make effective use of this data.

  1. Advocate and push for open, ODbL compatible, licensing of existing datasets from partners.
  2. Ensure (re)usability of data we contribute by providing ample documentation and metadata and providing easy ways of accessing and using OSM data for a variety of users.
  3. Make data available in easy to understand and use formats - including digital formats and platforms (such as the HDX), mobile applications, and paper maps.

Icons_Data Principles_Useful and usable data Useful and Usable Data

Collected and contributed data should meet a purpose that’s well defined, and conform to given data quality standards so it can be understood, used, and re-used.

  1. Be deliberate in what data we collect and generate and for what purposes.
  2. Align data collection and mapping with the priorities of communities and partners.
  3. Improve the applicability of OSM data and tagging schemas and standardization, including localization and contextualization, while following OSM guidelines and procedures.
  4. Provide technical resources and services, support, and case studies (including measurement of the usability of data) for use cases.

Icons_Data Principles_Inclusive and Representative Inclusive and Representative

Ensure communities at all levels can access and work in the open mapping and OSM ecosystem by how HOT prioritizes, creates, and structures data collection, tech, and community resources.

  1. Create and promote use technology and tools that are accessible and usable. Give specific attention to more vulnerable and/or minority groups to reduce barriers to access.
  2. Consider who and what we’re including in coordinated mapping, and who we’re omitting by how we define the area of impact and data models.
  3. Commit to reduce inequities to contribution and participation before, during, and after mapping - such as access to devices, mobile data, digital and map literacy, opportunities and economic viability of volunteering time, etc.
  4. Prioritize localization and accessibility of tools, documentation, and tech by providing multiple relevant languages.

Icons_Data Principles_Ethical data and protection Ethical Data and Protection

Go for the most meaningful collaborations. Uphold policies and guidance to minimize risk of harm.

  1. Apply a workable process of engagement and informed consent across our activities.
  2. Ensure respect for the beliefs, cultures, lifestyles, and choices of communities in the decision making around data collection and sharing.
  3. Assess and minimize risk of harm for all projects together with the relevant communities. In situations where conflict is a factor, follow the HOT’s stance on mapping in conflict.
  4. Ensure everyone at HOT is compliant with the application of data and protection principles.

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