OPEN-KNOW-WHERE INITIATIVE

REV 2.1, 23/01/2024
Author: Antonio de Jesus Anaya Hernandez, DevOps Eng.
CC BY-SA 4.0
2023-2024, The Internet of Production Alliance.

INTRODUCTION

What: This is the front page of the Open-Know-Where Map of Manufacturing project to survey and collect data on machines, facilities, people, and materials enabling distributed manufacturing.

Who: This is intended to be use by Makers and organisations around Maker-spaces, Fab-Labs, and innovation hubs within the Internet of Production Alliance and its projects.

Purpose: The Internet of Production Alliance collects the data to form a database of machines, facilities, people, and materials by location, to be analysed and mapped for the Open-Know-Where initiative.

Data Processing: The data collected is processed by the DevOps office of the Internet of Production Alliance. 

Data expiration: Data would be re-validated or discarded after 36 months from the initial date of data publishing, expected on 2024/02 TBA. 

Our data policy is found at https://map.internetofproduction.org/data-privacy-policy/index.html

For any map related concerns and requests contact by email to: antonio.anaya@internetofproduction.org

MAPS

These map prototypes have been created following the needs of different projects and objectives:

The Sloan Foundation map of distributed manufacturing and Open-Know-Where Standard Development, European Horizon for the mAkE African European Maker Ecosystem, and the Innovative Manufacturing in Africa I.M.A.

The value proposition of these maps is integrated by the collection of relevant data, the examination and proposition of a technical data storage standard, the exploration of data collection methods and the machine-human interaction with the data.

The maps have been proposed for a set of different identified use cases. And the data collection aims to be a tool for the future understanding and developing of innovation and location of resources.

The current work is in constant review and development. Maps and data amounts will change, accordingly to new finds, regulations and privacy requests.

GLOBAL (Sloan Foundation)

mAkE (Horizon Europe)

IMA (Innovative Manufacturing in Africa)

 

DATASETS AND RECORDS

SUMMARY

This is a summary of the data based on the analysis and classification reports found on the GitHub Repositories:

FACILITIES

Facilities identification and filtering requires that:
Facility is active, the data is truth, and has: facility name, contact information, or address, or GPS location captured.

Processed:

  1. "The Fab Foundation, FabLab Network and its partners",
  2. "Make Works, FabLab Barcelona and its partners",
  3. "Offene Werkstaetten, and its partners",
  4. "Field Ready Inc. and its partners",
  5. "Makery",
  6. "MakerTour",
  7. "Open-Know-Where Data Awards r1",
  8. "Open-Know-Where Data Awards r2",
  9. "IMA Innovative Manufacturing in Africa",
  10. "mAkE African European Maker Ecosystem".

Yet to process:

  1. "Make, Makezine",
  2. "Bay Area Makerspaces UC Berkeley",
  3. "Bay Area Makerspaces Upbeatlab",
  4. "sphere.diybio.org",
  5. "Hackerspaces.org",
  6. "Vulca",
  7. "FabCity",
  8. "Univeristy of Michigan 3DLab"

Distribution by continent:

  • Africa: 8391
  • Asia: 1580
  • Europe: 1568
  • North America: 357
  • South America: 276
  • Oceania: 23

MACHINERY

The most common machines found are 3D printers following to CNC milling machines, the "other" class comprises to a variety of machines from presses to air vacuum moulding machines. This preliminary classification depends on the classes and tags defined by the FabLab Network. Later on we identified the need of a Taxonomy for the classification of machines.

Machine distribution graph

COLLECTION

A GIT repository containing Jupyter notebooks designed for the collection and analysis of machinery and facilities data its available at:
https://github.com/iop-alliance/okw_data_management.

The notebooks cover a range of topics, including data acquisition processes, machinery cataloguing, and data management.

PUBLICLY AVAILABLE SOURCES

Data in compliance with privacy regulations is available for usage and citation at: https://zenodo.org/communities/iopa

UPDATE, OR REMOVAL

Please send an email to: antonio.anaya@internetofproduction.org with the following:

  1. Subject: data [update] or [removal] required
  2. Body: Name, location (city) of the record.
  3. Part: Applies only to a part of the information like ie. email, address.
  4. Complete: Applies to the whole record, for this send the record data using the form below and send the record to be replaced. ie. Previous record xx, xx, xx, xx, and New record. yy, yy, yy, yy.

SUBMISSION

At The Internet of Production Alliance, we are grateful for the time and effort of your contributions to this data collection exercise.

  1. Add your Facility using the "Add facility" form below. If your facility is already added on the map be aware of that we still need to update your information.
  2. Give us some feedback any step during the data filling process.

Once we have your information, we will validate and show your data in the map.

FORMS

A KoboToolBox survey is setup for data collection. With the following characteristics:

  1. Offline data submission is possible using the Kobo Collect tool.
  2. The survey includes a MACHINE INVENTORY apart with the catalogue of machines collected by different databases and vendors.
  3. For adding a capability to a facility at least one machine addition is required.
  4. Agreements for contact information are required in compliance with GDPR regulations and other data privacy regulations.

Add Facility and machinery.

USAGE

HOW TO ADD THE OKW MAP TO YOUR PAGE

  1. While editing your page's source code, copy&paste this "iframe" inside a "div" element.
<iframe width="100%" height="50%" style="border-radius: 10px; border: 0px #ffffff none;" src="https://map.internetofproduction.org/world_map.html" name="myiFrame" scrolling="no" frameborder="0" marginheight="0px" marginwidth="0px" allowfullscreen="allowfullscreen"></iframe>

In the next version of the map generator you will be able to:

  • Use different sources of information and select them.
  • Parse the data by country, organization, type of machines and projects.

Let us know if you have any feedback.

2023, The Internet of Production Alliance.

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