Pen-Yuan Hsing
Brianna Johns
Amanda Matthes- 1Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom
- 2Gathering for Open Science Hardware
- 3Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, University of Oxford, Oxford, United Kingdom
1 Introduction
In light of globally declining biodiversity (Butchart et al., 2010; IPBES, 2019) and threats to both rare and common species (Gaston and Fuller, 2008; Dirzo et al., 2014), there are calls to utilize modern technologies for monitoring and conservation (Pimm et al., 2015; Lahoz-Monfort et al., 2019; Wich and Piel, 2021; Schulz et al., 2023). Technologies are deployed to improve data collection and analysis in both terrestrial and aquatic environments (Lahoz-Monfort and Magrath, 2021). These advancements can enable more efficient data collection compared to traditional survey methods (Witt et al., 2020) and aid crowdsourced data collection and processing (Dorward et al., 2017; Fraisl et al., 2022). There are emerging communities of practice, such as Conservation X Labs1 or WILDLABS2 which report on the state of conservation technology (Speaker et al., 2022) and provide guidelines on socially responsible use (Sandbrook et al., 2021).
The advancement of conservation technologies coincides with the increased adoption of open science practices. As defined in the Recommendation on Open Science ratified by the United Nations Educational, Scientific and Cultural Organization (UNESCO, 2021), open science entails inclusive, equitable, and sustainable approaches to scientific practices and outputs. Ecological research has increasingly adopted these practices (Hill et al., 2019), notably through more open and FAIR data (Hampton et al., 2015; Wilkinson et al., 2016). There also exists open source software used in biodiversity research, such as the R programming language (R Core Team, 2023) and analytical packages built on it.
However, unlike software and data, the hardware used for ecological research is still typically closed source (i.e. proprietary), and its designs (and accompanying software source code) are legally restricted, preventing others from studying, reproducing, or modifying them.
Apart from just increasing effort and cost when adapting existing equipment to new contexts, closed source hardware also reinforces global inequalities. As reviewed by Arancio (2023a), the manufacturing and dissemination of scientific equipment is often monopolized by entities in the Global North. This creates barriers for researchers in the Global South including, but not limited to, prohibitive costs, lack of availability, and technical support. They lead to epistemic injustice, where research questions are constrained by the physical tools researchers are allowed to access or modify. Additionally, the vendor lock-in and forced obsolescence of closed source hardware mean that users are legally barred from maintaining them. This creates e-waste, which has been described as a form of environmental crime (Bisschop et al., 2022).
One solution to these problems is open source hardware. It is defined as hardware whose design is “made publicly available so that anyone can study, modify, distribute, make, and sell the design or hardware based on that design”3. In our view, while open source hardware is beginning to be adopted for ecology research (Hill et al., 2019; Lahoz-Monfort and Magrath, 2021), its potential is still largely untapped.
We are researchers with experience in both ecology and open source hardware communities. In this opinion article, we argue for wider recognition and adoption of open source hardware in biodiversity research. Among other benefits, we provide examples demonstrating how open source hardware can: reduce upfront and maintenance costs; enable adapting to novel contexts; and improve research quality and transparency. We end with suggestions for individuals and institutions on adopting open source hardware in research.
2 Reducing upfront and maintenance costs
By its nature, closed source hardware allow their manufacturers to command a high price through monopolies. In contrast, anyone can manufacture and sell hardware based on an open source design, so the cost of purchase can be close to the actual manufacturing cost. One study suggests that open source hardware can create cost savings of up to 87% compared to closed source functional equivalents (Pearce, 2020).
SnapperGPS4 is one example of such low-cost open source hardware for ecology research. It is a location data logger specifically designed for wildlife tracking (Beuchert et al., 2023). In contrast with proprietary equivalents costing thousands of USD, the component cost of a SnapperGPS receiver is under USD 30, making it accessible to research groups with lower budgets. The project also has a discussion forum5 where the community can ask questions, discuss issues, provide technical support, and share experiences.
Because users have complete access to the hardware design files, they can also maintain and repair their equipment independently, rather than having to rely on the original manufacturer who has an incentive to sell new units instead of repairing existing ones. Any knowledge about repair and maintenance can also be freely shared with the community further helping other users, without expensive support contracts or infringing on intellectual property restrictions. This is exemplified by the Appropedia Foundation6, an online community where sustainability researchers share designs and provide mutual help on the repair and maintenance of open source hardware (Pearce, 2012).
3 Adapting to novel contexts
Off-the-shelf proprietary technology is unlikely to fit every application well. Ecologists, in particular, may need specific hardware properties to accommodate unique environments or species. However, modifying devices to meet research needs is difficult with closed source hardware, because its designs are not shared and modifications are not permitted. In the case of open source hardware, however, modifications can be added to an existing design and even be published as a new version that can then be freely manufactured and used by future researchers.
OpenFlexure7 exemplifies this advantage. It is an open source, low-cost, lab-grade microscope, originally developed for microscopy in biomedical research (Collins et al., 2020). Its design has since been adapted to many other contexts. For example, researchers trialling OpenFlexure for orchid bee identification in Panamanian rainforests found the device was not suited for their use case, which does not require high magnification but does need robustness under field conditions. In response, the researchers adapted OpenFlexure into a dissection microscope that is easy to use and repair in the field. At the time of writing, the first version of this design has been completed, and feedback from field trials is being incorporated into the next version (Stirling and Quitmeyer, 2023).
4 Improving the quality and transparency of research
Closed source hardware is opaque, preventing researchers from fully understanding how the equipment operates. This makes identifying systematic errors difficult, especially if the manufacturer has a monopoly on the technology so that users have no alternatives for comparison.
This problematic “black box” effect of closed source devices is exemplified by CTDs, an oceanographic instrument that measures salinity, temperature, and depth. These three variables are essential for almost all marine scientific studies. Commonly-used closed source CTDs are not only expensive (at least several thousand USD), but also require costly maintenance services. In recent years, the OpenCTD was developed as an open source CTD for coastal oceanographic research (Thaler et al., 2024), along with openly published calibration procedures8. Notably, in addition to making this technology more accessible, the OpenCTD team identified a systemic problem of handheld proprietary CTDs being out of calibration but remaining in field use (Thaler, pers comms). This error remained undetected for years until a comparison could be made with OpenCTD devices, and underscores the crucial role for open source hardware to improve research quality and transparency.
5 Discussion
Open source hardware and software enshrine the freedoms to study, reproduce, modify, and distribute them without restrictions. They enable equitable access to technology, allowing context-relevant and cost-effective adaptations with the potential to improve research quality and transparency. The examples we used to illustrate these benefits are part of a growing movement, which seeks to adopt open source hardware in ecology and conservation research (Berger-Tal and Lahoz-Monfort, 2018; Hill et al., 2019; Lahoz-Monfort and Magrath, 2021; Zeuss et al., 2024). We end this opinion article with suggestions for publishing open source hardware in a reproducible way and reforming institutional policies to encourage its development.
5.1 Publishing open source hardware
In recent years, best practices have emerged to ease the publication and reproducibility of open source hardware in scientific research. For example, the Open Know-How specification (Internet of Production Alliance, 2022) defines structured metadata to accompany hardware designs, such as requiring a bill of materials (BOM) or listing key contact persons. This metadata is stored in a YAML-formatted file, and is published with design files in a public repository (e.g. platforms such as GitLab or GitHub) similar to current best practice for software. Crucially, Open Know-How specifies that hardware designs should be published with open source licenses, the most popular of which are the three CERN Open Hardware licenses9.
Once hardware designs are published, detailed information about their fabrication and use can be published in peer-reviewed journals such as the Journal of Open Hardware10 or HardwareX11. A variety of hardware with biodiversity applications has been published this way, from a camera trap for benthic marine organisms (Humbert et al., 2023) to a strain gauge for measuring wind damage to trees (Nickl et al., 2022). In support of these academic journals is the DIN SPEC 3105 standard (DIN e.v, 2020), which defines guidelines for effective peer review of hardware documentation and reproducibility.
5.2 Reforming institutional policy to encourage open source hardware
Research institutions and funding bodies should support open source hardware as a key pillar of open science, as recognized in the UNESCO Recommendation on Open Science (UNESCO, 2021). Actionable policy guidance has been developed for universities (Arancio, 2023b), including embedding open source hardware in open science training; creating career pathways for developing open source hardware; and developing mechanisms to monitor adoption.
A common misconception is that open source hardware cannot be commercially viable. But in actuality, open source hardware allows commercialization and multiple profitable open hardware business models have already been demonstrated (Pearce, 2017). Successful examples from biology research include IORodeo12 (a producer of laboratory analytical equipment), NinjaPCR13 (a seller of digital real-time polymerase chain reaction (PCR) machines), or the Arribada initiative14 (a consultancy for biodiversity research and developer of hardware kits for biologging and satellite tracking). In light of these successes, university technology transfer offices (TTOs) should update their policies to support open source hardware (Arancio, 2023b), including using its development as a way to achieve sustainable development goals (Faez et al., 2023).
6 Conclusion
The urgency of the biodiversity crisis is connected to technological waste and global inequalities (Bisschop et al., 2022; Kubiszewski et al., 2023; Arancio, 2023a). As biodiversity researchers, we have an ethical imperative to adopt open source hardware as part of the solution. In addition, with growing popular interest in biodiversity conservation (de Oliveira Caetano et al., 2023), the use of open source hardware (and software) would signal transparency and accountability that strengthens public trust in science. In this opinion piece, we highlighted the progress that open source hardware can enable for ecology research.
Lastly, we note that biodiversity researchers are not the only ones who would benefit from open source hardware. Anyone considering open source hardware for their research could engage with global practitioner communities, including the Gathering for Open Science Hardware15, Open Science Hardware Foundation16, Internet of Production Alliance17, or the Open Source Hardware Association18. They collectively sustain ongoing discourse on the development and use of open source hardware, and reflect a growing recognition for its role in scientific research.
Author contributions
P-YH: Conceptualization, Investigation, Resources, Writing – original draft, Writing – review & editing. BJ: Conceptualization, Resources, Writing – original draft, Writing – review & editing. AM: Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. P-YH’s time was supported by the Octopus project, which is funded by United Kingdom Research and Innovation (UKRI) via Research England and the Joint Information Systems Committee (JISC). AM is funded by the United Kingdom Engineering and Physical Sciences Research Council (EPSRC) Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS CDT) (grant number: DFT00350-DF03.05).
Acknowledgments
The authors gratefully acknowledge Andrew Thaler for providing the OpenCTD example.
Conflict of interest
AM was a member of the SnapperGPS project; BJ is the Community Coordinator and P-YH was a member of the Community Council at the Gathering for Open Science Hardware. The opinions in this article are based on their experiences working in these communities. That said, this paper was composed in the absence of any other relationships, financial or otherwise, that could be construed as a conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Footnotes
- ^ https://conservationx.com/.
- ^ https://wildlabs.net/.
- ^ Open Source Hardware Definition: https://www.oshwa.org/definition/.
- ^ https://snappergps.info.
- ^ https://github.com/orgs/SnapperGPS/discussions.
- ^ https://www.appropedia.org.
- ^ https://openflexure.org/.
- ^ https://github.com/OceanographyforEveryone/OpenCTD/blob/main/Documentation/Manual/OpenCTDCalibrationDataManagement.pdf.
- ^ https://cern-ohl.web.cern.ch/.
- ^ https://openhardware.metajnl.com/.
- ^ https://www.hardware-x.com/.
- ^ https://iorodeo.com/.
- ^ https://qninja.hisa.dev/.
- ^ https://arribada.org/.
- ^ https://openhardware.science/.
- ^ https://opensciencehardware.org/.
- ^ https://www.internetofproduction.org/.
- ^ https://www.oshwa.org/.
References
Arancio J. (2023a). From inequalities to epistemic innovation: Insights from open science hardware projects in Latin America. Environ. Sci. Policy 150, 103576. doi: 10.1016/j.envsci.2023.103576
Arancio J. (2023b). Supporting Open Science Hardware in Academia: Policy Recommendations for Science Funders and University Managers (Tech. rep). doi: 10.5281/zenodo.8030029
Berger-Tal O., Lahoz-Monfort J. J. (2018). Conservation technology: The next generation. Conserv. Lett. 11, e12458. doi: 10.1111/conl.12458
Beuchert J., Matthes A., Rogers A. (2023). SNAPPERGPS: open hardware for energy-efficient, low-cost wildlife location tracking with snapshot GNSS. J. Open Hardware 7, 2. doi: 10.5334/joh.48
Bisschop L., Hendlin Y., Jaspers J. (2022). Designed to break: planned obsolescence as corporate environmental crime. Crime Law Soc. Change 78, 271–293. doi: 10.1007/s10611-022-10023-4
Butchart S. H. M., Walpole M., Collen B., Strien A. V., Scharlemann J. P. W., Almond R. E. A., et al. (2010). Global biodiversity: Indicators of recent declines. Science 328, 1164–1168. doi: 10.1126/science.1187512
Collins J. T., Knapper J., Stirling J., Mduda J., Mkindi C., Mayagaya V., et al. (2020). Robotic microscopy for everyone: the OpenFlexure microscope. Biomed. Optics Express 11, 2447–2460. doi: 10.1364/BOE.385729
de Oliveira Caetano G. H., Vardi R., Jarić I., Correia R. A., Roll U., Veríssimo D. (2023). Evaluating global interest in biodiversity and conservation. Conserv. Biol. 37, e14100. doi: 10.1111/cobi.14100
DIN e.v (2020). DIN SPEC 3105-1:2020-07 Open Source Hardware. (Beuth Verlag GmbH: Tech. rep.). doi: 10.31030/3173063
Dirzo R., Young H. S., Galetti M., Ceballos G., Isaac N. J. B., Collen B. (2014). Defaunation in the Anthropocene. Science 345, 401–406. doi: 10.1126/science.1251817
Dorward L. J., Mittermeier J. C., Sandbrook C., Spooner F. (2017). Pokemon´ Go: Benefits, costs, and lessons for the conservation movement. Conserv. Lett. 10, 160–165. doi: 10.1111/conl.12326
Faez S., Urra J., Saggiomo V., de Vos J., Illamparuthi S. (2023). Creating an open-source hardware ecosystem for research and sustainable development (Tech. rep). doi: 10.5281/zenodo.8301858
Fraisl D., Hager G., Bedessemp B., Gold M., Hsing P.-Y., Danielsen F., et al. (2022). Citizen science in environmental and ecological sciences. Nat. Rev. Methods Primers 2 (64). doi: 10.1038/s43586-022-00144-4
Gaston K. J., Fuller R. A. (2008). Commonness, population depletion and conservation biology. Trends Ecol. Evol. 23, 14–19. doi: 10.1016/j.tree.2007.11.001
Hampton S. E., Anderson S. S., Bagby S. C., Gries C., Han X., Hart E. M., et al. (2015). The Tao of open science for ecology. Ecosphere 6, 1–13. doi: 10.1890/ES14-00402.1
Hill A. P., Davies A., Prince P., Snaddon J. L., Doncaster C. P., Rogers A. (2019). Leveraging conservation action with open-source hardware. Conserv. Lett. 12, e12661. doi: 10.1111/conl.12661
Humbert J. W., Onthank K. L., Williams K. (2023). The open-source camera trap for organism presence and underwater surveillance (OCTOPUS). HardwareX 13, e00394. doi: 10.1016/j.ohx.2023.e00394
Internet of Production Alliance. (2022). Open Know-How Specification (Cambridge, United Kingdom: Tech. rep). Available at: https://standards.internetofproduction.org/pub/okh.
IPBES (2019). Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. (Bonn, Germany: Tech. rep., IPBES). doi: 10.5281/zenodo.6417333
Kubiszewski I., Ward C., Pickett K. E., Costanza R. (2023). The complex relationships between economic inequality and biodiversity: A scoping review. Anthropocene Rev 11 (1), 49–66. doi: 10.1177/20530196231158080
Lahoz-Monfort J. J., Chadès I., Davies A., Fegraus E., Game E., Guillera-Arroita G., et al. (2019). A call for international leadership and coordination to realize the potential of conservation technology. BioScience 69, 823–832. doi: 10.1093/biosci/biz090
Lahoz-Monfort J. J., Magrath M. J. L. (2021). A comprehensive overview of technologies for species and habitat monitoring and conservation. BioScience 7 (10), 1038–1062. doi: 10.1093/biosci/biab073
Nickl J., Kolbe S., Schindler D. (2022). Enhancing TreeMMoSys with a high-precision strain gauge to measure the wind-induced response of trees down to the ground. HardwareX 12, e00379. doi: 10.1016/j.ohx.2022.e00379
Pearce J. M. (2012). The case for open source appropriate technology. Environment Dev. Sustainability 14, 425–431. doi: 10.1007/s10668-012-9337-9
Pearce J. M. (2017). Emerging business models for open source hardware. J. Open Hardware 1, 1–14. doi: 10.5334/joh.4
Pearce J. M. (2020). Economic savings for scientific free and open source technology: A review. HardwareX 8, e00139. doi: 10.1016/j.ohx.2020.e00139
Pimm S. L., Alibhai S., Bergl R., Dehgan A., Giri C., Jewell Z., et al. (2015). Emerging technologies to conserve biodiversity. Trends Ecol. Evol. 30, 685–696. doi: 10.1016/j.tree.2015.08.008
R Core Team (2023) R: A language and environment for statistical computing. Available online at: https://www.R-project.org/.
Sandbrook C., Clark D., Toivonen T., Simlai T., O’Donnell S., Cobbe J., et al. (2021). Principles for the socially responsible use of conservation monitoring technology and data. Conserv. Sci. Pract. 3 (5), e374. doi: 10.1111/csp2.374
Schulz A. K., Shriver C., Stathatos S., Seleb B., Weigel E. G., Chang Y.-H., et al. (2023). Conservation tools: the next generation of engineering–biology collaborations. J. R. Soc. Interface 20, 20230232. doi: 10.1098/rsif.2023.0232
Speaker T., O’Donnell S., Wittemyer G., Bruyere B., Loucks C., Dancer A., et al. (2022). A global community-sourced assessment of the state of conservation technology. Conserv. Biol. 36, e13871. doi: 10.1111/cobi.13871
Stirling J., Quitmeyer A. (2023). Creating a field dissection microscope that can be built in the field (Gamboa, Panama: Tech. rep., Digital Naturalism Laboratories). doi: 10.18258/50700
Thaler A., Sturdivant K., Neches R., Levenson J. (2024). The OpenCTD: a low-cost, open-source CTD for collecting baseline oceanographic data in coastal waters. Oceanography. doi: 10.5670/oceanog.2024.602
UNESCO. (2021). UNESCO Recommendation on Open Science. (Paris, France: Tech. Rep. CL/4363, United Nations Educational, Scientific and Cultural Organization). Available at: https://unesdoc.unesco.org/ark:/48223/pf0000379949.locale=en.
Wich S. A., Piel A. K. (Eds.) (2021). Conservation Technology. 1 edn (Oxford, United Kingdom: Oxford University Press). doi: 10.1093/oso/9780198850243.001.0001
Wilkinson M. D., Dumontier M., Aalbersberg I. J., Appleton G., Axton M., Baak A., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 160018. doi: 10.1038/sdata.2016.18
Witt R. R., Beranek C. T., Howell L. G., Ryan S. A., Clulow J., Jordan N. R., et al. (2020). Real-time drone derived thermal imagery outperforms traditional survey methods for an arboreal forest mammal. PLoS One 15, e0242204. doi: 10.1371/journal.pone.0242204
Keywords: open source hardware, open source, conservation technology, open science, open research, open technology, biodiversity, conservation
Citation: Hsing P-Y, Johns B and Matthes A (2024) Ecology and conservation researchers should adopt open source technologies. Front. Conserv. Sci. 5:1364181. doi: 10.3389/fcosc.2024.1364181
Received: 01 January 2024; Accepted: 17 April 2024;
Published: 21 May 2024.
Edited by:
Maxime Cauchoix, Université Toulouse III Paul Sabatier, FranceReviewed by:
Nicolas Morellet, Institut National de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), FranceCopyright © 2024 Hsing, Johns and Matthes. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Pen-Yuan Hsing, cGVueXVhbi5oc2luZ0BicmlzdG9sLmFjLnVr