OKW Manufacturing World Map Data Awards

December 20, 2022

If you would like to submit an application or nominate someone else to apply, you can do so HERE.

More About the Data Award Goals and Objectives

In April 2021, the IOP Alliance launched the Open Know-Where (OKW) standard, a metadata standard for documenting and sharing information about the location of manufacturing facilities and capabilities globally. Round 1 of the OKW Data Awards provided the experience of applying the standard in community projects, bringing us closer to our goal of OKW as an initiative to help map manufacturing facilities and machinery for use in decentralized manufacturing.  

Our objective for 2023 is to map at least 150,000 points of interest (i.e.: facilities and machinery), under the OKW initiative. This mapping, in addition to benefiting community makers in finding where to produce items, will enable us to develop a key part of the infrastructure for the distributed production of hardware: a global map of facilities, machines, and tools, based on shared open data and open APIs.

We know that there are already great datasets out there, in fact, many were used in the research leading up to the creation of the OKW standard. We also know that reworking data to align it to a standard is time-consuming. We are continuing our work with global community partners to continue populating a map, through the verification of manufacturing facilities, and investigation on how we can approach the verification of data points for machinery.

More About the Award and How to Apply

$6,000.00USD will be divided up into 3-6 one-shot financial awards ranging from $500-$2000. The award will fund time and operational costs to do one, or both, of the following:  

  1. Take existing datasets of facilities, machinery, or tools and help us integrate them into our growing global manufacturing facilities and machinery data by developing processes or software to validate or transform the source data.
  1. Collect data related to the mapping of manufacturing capabilities, through surveys, or data scraping for integration into our growing global manufacturing facilities and machinery data.

By collecting more data to add to our growing project, we are seeking to answer questions such as:

  • How might makers, manufacturers, entrepreneurs, and others want to use the data once it is collected into a Manufacturing World Map?
  • What types of facilities make the most sense for inclusion in a Decentralized Manufacturing World Map?
  • How do you undertake validation of what is inside of a facility - what could the data scrubbing process look like?

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If you have any questions about the Data Awards, please don’t hesitate to get in touch!