Data and data integration is framed as a possibility for a better understanding of nature and its contribution to a good quality of life. At the same time the intent of a data management policy is to make the usage of data transparent.
One possible interpretation of this is that data is not posited in a positivistic way of representing a truth, but as approximations to the truth. Because they are only approximations, data has to be made transparent and open to contestation. However, it also implies that more data and better practices of data integration will lead to better approximation of the truth.
For Chandler residents, the numbers do not tell the entire story. They are partial truths devoid of the wider context that do not capture their grievances or the extent of their harms. For the data centers, the numbers tell an unambiguous story of exoneration. The numbers from sensor readings enable them to claim no culpability for the noise pollution experienced by residents. While undeniably loud and a growing public nuisance, the offending party clings to the numbers as epistemic shields, while the residents insist on their inadquacy. For City officials, who must abide by laws that favor the data center's argument (because they are based on numeric thresholds), the truthiness of these numbers shifts as they consider their own re-election prospects. The latitutde of action and horizon of solutions shifts as they seek a resolution that does not negate the truthiness of the sensor readings but calls for an expansion of the ontological field to include the subjective and qualitative experiences of harm as well as hertz frequency measures.
“We do our best to achieve a broad coverage of war-fueling companies in all regions of the world and to find and document the relevant information for each of these companies. However, gaps still exist, due to the fact that information is sometimes hard to find or simply not available. We are therefore always happy to receive any additions or corrections to further develop this database!”
--> Awareness for data gaps