Incorporated in 2015, eReuse.org has spent over 8 years promoting best practices for data sanitization and traceability of the circular economy of digital devices working with organizations across the globe. For the implementation of these best practices and standards, eReuse.org proposes an open-source stack for ITADs, Refurbishers, and recyclers.
The software is developed and maintained by the respective organizations, and you will find it in their repositories.
- The Workbench creates a hardware report of the device and its components, including a digital unique global ID. If the device is a computer, Workbench performs tests and benchmarks to components, and erasures hard-drives, including these results to the report.
- Workbench can upload reports to the Devicehub. The Devicehub is a distributed IT Asset Management System (ITAMS) focused in maximizing the life-time of devices and in reusing them. It is offered as a cloud service for organizations to manage, track, and exchange their devices.
- The Global Record of Devices (GRD) receives optional non-private metadata about devices from ITAMS like Devicehubs. It is an auditable (and replicable) semi-public online log that maintains a global list of traceability information about devices, so it can assist when there is leakage or similar problems, and it can generate inputs for the indicators which measure circularity.
In the following sections we detail the three softwares.
The Workbench is a toolset that assists in registering, refurbishing, and tracking devices. It captures hardware characteristics (like the serial number) of devices and their components, rates the devices and securely deletes data. With its self-booting start-up, you don’t have to worry about which operating system is installed. Just boot your device through the network with the PXE Server and test and benchmark your system hardware, capture characteristics for rating and the serial number for traceability and reporting. It processes detailed hardware information at component level. This result is then uploaded to the distributed cloud software; the Devicehub, which we explain in the next section.
A software that executes on a computer and, without human interaction, automatically executes the following tools:
- Hardware discover. Obtains metadata from the computer and its components, including ways of identifying a device and information for traceability, reusing, and generating circularity inputs.
- Eraser. Deletes private information from data storage units by performing standardized erasure methods that users can parametrize.
- Benchmarker. Rates the capacity of the computer and its components in order to value them.
- Tester. Performs quality tests to guarantee the capacity of the machine to operate correctly and without failure.
Workbench Android App
A smartphone and tablet Android app that allows to contribute details about the specifications of a smartphone preserving user privacy. The collected details facilitate second hand reuse and the elaboration of statistics about actual mobile phone durability.
The DeviceHub is a Device Asset Management System, offered as a web app and focused in efficiently managing the circular life-cycle of devices –reusing and recycling. Main objectives are:
- To offer a common IT Asset Management for donors, receivers and IT professionals so they can manage devices and exchange them. This is, reusing –and ultimately recycling.
- To automatically recollect, analyse, process and share (controlling privacy) metadata about devices with other tools of the eReuse ecosystem to guarantee traceability, and to provide inputs for the indicators which measure circularity.
DeviceHub recollects devices from the reports of the Workbench and other integrated systems and manages their full workflow, logistics. It manages and prints certificates and customer-friendly reports, places and packaging, and has a plug-in system. Devicehub manages and prints certificates and customer-friendly reports, it manages lots of devices, and it can design and print smart tags with QR and NFC technologies that boost efficiently and avoid leakage. You register the devices using the Workbench, a companion Android App, through an system integration or manually; place them in different places (ex. the warehouse); and perform events to them (ex. “this device has been repaired”, “we have moved the device to the office of the client”, etc.). Devicehub are federated and autonomous, and interact with external systems (like other Devicehubs) to manage the different processes involved in reusing and recycling, like disposal or external reusing.
- The main characteristics of Devicehub are: Management of devices: manages the asset identification process and the life span of the devices of the organization, the workflow, and external ones over which the organization has control.
- Reports: generates automatic personalized reports and analytics, being able to ensure compliance, detecting critical aspects, such as loss of devices, over assignment of resources, etc. Reports can be PDF documents or spreadsheets.
- Certifications: saves, manages, and exports certificates, such as the results of the tests and deletion of the hard-drives, being able to answer to audits and show it to end users.
- Tag management: designs and generates tags used to track the devices by using the utility tag. These tags are linked (associated) to devices, and they can travel between Devicehubs while keeping accountable records. Tags can be generated in two ways: directly through a label printer that the user has, or by requesting the tags to a Smart Tag manufacturer. In the second case, Devicehub integrates with the tag manufacturer by generating the information it needs in order to print the tags and registering the new tags back.
- Logistics, traceability, and tracking: manages the transportation of devices by mapping their coordinates to places and assigning transporters and destinations.
- Compliance management: sets compliance rules to lots of devices and reacts when irregularities happen or when they break. Compliance can be shared between Devicehubs.
- Device rate and selling price: rates the devices according to the benchmarking and testing reports of the Workbench, taking into account performance, functionality, and aesthetics. Finally, it suggests a parametrizable range of prices.
Devicehub is split into two technical subprojects:
- Devicehub: a RESTful Python 3 web application built on the microframework Teal, an open-source micro-framework we are building too as part of this Devicehub; Teal is built on Flask and uses PostgreSQL as database. The old Devicehub is built on python-Eve and Flask, and uses MongoDB as
The Global Record of Devices (GRD)
The Global Record of Devices (GRD) is an auditable (and replicable) online log that maintains a global list of traceability information about devices, so it can assist when there is leakage or similar problems. The GRD works with open-data and is designed to be used with external users who want to report traceability information. At the same time, GRD aggregates traceability data with the objective of using this data as inputs for indicators measuring circularity indicators. It is comparable to a distributed blockchain. GRD provides a REST API to allow ITAMS, as DeviceHub, to report the life cycle of devices, environmental responsibilities for organizations, etc. It collects from each device, at least, the geographical paths it has followed (not in detail to preserve privacy), the DeviceHub where it has been stored, the collection points where it was located before its final recycling and, in the case of computers, the record of its components. GRD exists as a prototype and it is the aim of this project to build it using Everythng.
A smartphone and tablet Android app that has two functionalities.
- Obtain metadata from devices that are not computers, like peripherals or electrical appliances, by scanning their barcodes and taking pictures from them.
- Link devices with tags generated by the tools, like QR codes and NFC chips.
A machine that assists in rating the appearance of a device by taking pictures from devices from different views, like frontal, sides and rear. A developing AI can detect scratches and imperfections from the pictures and automatically rate the devices.