The idea that data represents reality drives everything we do.
To ensure that this is always at the forefront of our minds, we adhere to 5 guiding principles when working with data.
WE DO NOT SUBJECTIVELY ALTER THE DATA WE RECEIVE
This means that we do not manipulate the data in any way that would skew its original meaning. We take the data as it is and use it for the purposes it was intended. By maintaining the integrity of the data, we can ensure that our analysis and findings are accurate and reliable. It’s important to note that altering on its own is a misleading word. We merge different sources to find inaccuracies and confirm the reliability of the data. We clean and process, so that there are no more steps for the user to take in order to use the data. We reshape the data, but never create something that was not there.
WE STAY NEUTRAL, REFLECT AND REPRESENT REALITY
It is important to not let personal biases or opinions influence the way we handle and interpret data. Our goal is to reflect and represent reality through the data we collect and analyse. We should always ensure that we do not cherry-pick or manipulate it to fit a particular narrative or agenda. We actively try to not introduce any bias into our process in order to allow for the data to show the truth.
WE ARE TRANSPARENT
Being transparent means being open and honest about the way we collect, use, and share data. It also means being clear about our methods and approaches, as well as any limitations or potential biases in our work. By being transparent in our work, we can build trust with the community and contribute to a more open and transparent society. All open data is easily traceable to the sources in order to be verified if needed. All AI data is clearly identifiable in a dataset.
WE SUPPORT SUSTAINABILITY, DIVERSITY AND UNIQUENESS
This is crucial for the long-term future of our organisation and community. It means being mindful of the impact our work has on the environment and society, and seeking to use data in ways that are sustainable and responsible. It also means valuing diversity and uniqueness in our data sources. We need to ensure that our findings and conclusions are more representative and accurate, and that our work benefits a wider range of people and communities, contributing to a more inclusive and equitable society.
WE FIGHT DISINFORMATION AND PREVENT OFFENSIVE USE
Preventing any offensive use of data is crucial for maintaining trust and ensuring that data is used ethically and responsibly. It is important to be vigilant in detecting and combating disinformation, and to ensure that the data we use and the conclusions we draw are accurate and reliable. We should also take steps to prevent using it to discriminate or harm others. We only use non-personal data and make effort to confirm the ethicality of our sources and their data.