Embracing the principles of Digital Commons#
In this document, Dr Malvika Sharan, co-lead of The Turing Way shares her insights from working in open science since 2010 and with The Turing Way community since 2019.
The Turing Way means different things to different people, shaped by factors such as our backgrounds, identities, interests, locations and areas of work, as well as different contexts as learners, educators and practitioners in data science.
As a community-developed project, The Turing Way belongs to the community, and we, The Turing Way team and our community of leaders are committed to fostering shared ownership through active involvement and collaboration with diverse contributors. The intricacies and beauty of this collaboration are evident in the continuous growth, diversity and acknowledgement that The Turing Way has garnered over the years.
I believe open science and community building are at the core of my personal and professional goals. To me, open science is a commitment to achieving knowledge equity.
This means facilitating access for individuals from diverse backgrounds, fostering their active contribution, and evolving the landscape of knowledge itself.
I actively champion open science and community building in The Turing Way. My commitment to open knowledge and collaboration is deeply rooted in my appreciation for Ostrom’s Governing the Commons [Ost90] and understanding of the theory and practices of “knowledge commons” as applied to digital commons [HO06].
Knowledge and Digital Commons#
Definitions
Knowledge Commons: Knowledge Commons refers to collectively owned and managed knowledge, like data, content, and software. Unlike physical resources, this knowledge, once shared, can be used by countless people simultaneously without any depletion. Open-source projects like Linux and collaborative platforms like Wikipedia exemplify this power of unrestricted sharing for research, education, and innovation.
Digital Commons: Digital Commons encompasses global resources created and maintained digitally through collective efforts [dRS20]. This emphasis on collaboration extends to licensing, authorship, production, governance, and participation, actively ensuring equitable access to digital resources for all [Fri24].
Examples of digital commons include licensing infrastructure like Creative Commons for sharing resources with clear conditions and digital platforms like Wikimedia Commons and Zenodo for sharing and accessing media files and research components (each with appropriate license) respectively. These initiatives exemplify the power of digital commons in democratising access to knowledge and enhancing opportunities for others to reuse or build on it.
Commoning in The Turing Way#
Participatory processes for managing the Commons for the shared benefit are called commoning (Eight Points of Reference for Commoning).
A (digital) common always requires a (i) community – people who can or want to access (ii) a common – physical or digital resources, and apply (iii) governance – a set of rules or structured interventions that involve the community in caring for both the resources and other members of the community.
The Turing Way is a (i) community — our readers, users, developers, and collaborators who have access to (ii) The Turing Way book — a digital common shared under a permissive license for reuse, and (iii) governance — our community norms, practices, and processes through which the project is built, maintained, governed, and sustained with the involvement of community members.
The Turing Way - A Digital Public Good#
The Turing Way is also aligned with the principles of Digital Public Goods (DPG) – digital assets that provide value to society and contribute to the public good.
The Turing Way book serves as a DPG. In 2024, the project was listed in the Digital Public Good Alliance (DPGA) Registry for its alignment with “Sustainable Development Goals 4 (SDG4): Quality Education” under the content category. In this context, The Turing Way acts as a high-quality reference and educational material for people at different stages of their learning in data science.
Co-developed with a diverse community, The Turing Way addresses the need for centralising fragmented knowledge around open, reproducible, ethical and collaborative data science practices, making it accessible to the public without depleting their quality or availability.
Digital Public Good and Digital Commons
Both Digital Commons and Digital Public Goods are integral to the Open Science movement [PNM24].
Not all digital public goods are digital commons or openly accessible for everyone, as they can be centrally managed for public benefit without necessarily involving a community in their maintenance. However, they share some traits with the public good.
Examples of Digital Public Goods include Free and Open Source Software (FOSS) shared freely for modification and redistribution (not all FOSS are community-developed). The DPGA lists software, data, resources, and initiatives aligned with the UN’s Sustainable Development Goals.
Operationalising the Principles of Commons#
Developed and maintained by a globally distributed community, both, The Turing Way handbook and its community have continued to evolve in response to the changing landscape of data science and the growing need to make it collaborative, inclusive, and accessible to as many people as possible. As a public resource — The Turing Way operationalises approaches that underpin digital commons and digital public goods, some of which are outlined below:
Champion openness of knowledge and participation processes
Foster an environment for diversity of knowledge, knowledge producers and their interests
Actively exemplify the practices we share.
Proactively promote equity through collaboration with underrepresented communities.
Build strategic partnerships with different stakeholders to accelerate the adoption of practices across sectors.
Establish shared ownership for long-term maintenance and sustainability.
Below, I elaborate on how these principles are operationalised in The Turing Way at both levels: a) in building The Turing Way project and community; and b) in building the handbook and other resources, promoting open, reproducible, ethical, and collaborative data science practices.
1. Champion openness of knowledge and participation processes#
Following the principle of ‘as open as possible and as closed as necessary,’ we prioritise openness and transparency to ensure access and equitable participation.
We evolve community roles and processes for open engagement and decision-making, ensuring transparency in pathways for community involvement and project direction.
We actively engage community members in co-creating accessibly written chapters and openly licensed resources on data science, aiming to broaden participation in the fields of Data Science and research.
2. Foster an environment for diversity of knowledge, knowledge producers and their interests#
Through proactive measures, we cultivate an environment that champions diversity through inclusion, collaboration, and ethical approaches where knowledge, knowledge producers and their interests can thrive.
We provide community participation guidelines, a Code of Conduct, an acknowledgement process and resources outlining approaches through which diverse contributors can collaborate in The Turing Way. By creating different pathways for engagement at different levels of decision-making, we actively support our community members to discuss different challenges, exchange ideas and co-create solutions.
Diverse members contribute to the development of The Turing Way guides, ensuring that EDIA (Equity, Diversity, Inclusion, and Accessibility) principles are integrated into both, the practices we share, and the positive impact we aim for in data science.
4. Proactively promote equity through collaboration with underrepresented communities#
In The Turing Way, our vision for a large-scale, global collaboration is rooted in acknowledging the expansive definition and scope of equity.
Diversity, intersectionality, equity, inclusion, and accessibility are woven into the fabric of The Turing Way community. Our project is purposefully crafted to ensure the involvement of a diverse range of stakeholders, representing varied interests, and employs equitable approaches in addressing them.
Through the collective wisdom shared in The Turing Way book, we’re committed to ensuring that equity is not an additional responsibility but an integral consideration embedded at every stage of research throughout its lifecycle.
5. Build strategic partnerships with different stakeholders to accelerate the adoption of practices across sectors#
We’re on a mission to fast-track the adoption of The Turing Way resources and best practices across diverse settings, whether through formal partnerships or more informal collaborations.
In The Turing Way community, we actively create spaces for cross-community collaborations, hosting engaging events like Collaboration Cafés, Fireside Chats, and Book Dash. Our commitment goes beyond our community borders – we actively contribute to the infrastructure we use and give back to projects led by our community members.
The users and contributors of The Turing Way aren’t just participants; they become advocates, implementing best practices within their organisations. To expand our impact, we have launched The Turing Way Practitioners Hub, pioneering sector-specific collaboration across academia, government, industry, and the public.