Handoko is a researcher from Andalas University, Indonesia. His research interests include corpus linguistics, psycholinguistics, neurolinguistics, discourse analysis, ecolinguistics, language teaching, and technology-enhanced learning. He holds a master’s degree in Linguistics from Andalas University and is pursuing his PhD at Universiti Malaya, Malaysia. As an active scholar, he is a member of the Linguistics Society of Indonesia and the International Ecolinguistics Association (IEA). He also serves as a Managing Editor for the Directory of Open Access Journals (DOAJ), contributing to the advancement of open-access academic publishing. He is also a Figshare Ambassador who actively promotes open data access through FAIR Principles.
Open Access Policy for Supporting Environmental Sustainability
Abstract
The complex environmental challenges of the 21st century require a paradigm shift in how scientific and cultural knowledge is governed. While Open Access (OA) policies have historically focused on removing paywalls, a truly sustainable and inclusive model must address the quality, utility, and ethics of shared data. This presentation argues that the dual implementation of FAIR (Findable, Accessible, Interoperable, and Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles is essential for bridging cultural diversity with environmental stewardship. We examine how FAIR principles provide the necessary technical infrastructure to ensure that climate research—ranging from satellite telemetry to carbon sequestration models—is machine-readable and globally discoverable. However, in the context of cultural diversity, “open” does not always mean “equitable.” We argue that FAIR must be complemented by the CARE principles for Indigenous Data Governance. This framework ensures that Open Access policies respect the sovereignty of local communities, allowing them to maintain authority over their traditional ecological knowledge (TEK) while participating in global sustainability efforts. Through a series of case studies, we demonstrate that when OA policies are both FAIR and CARE-compliant, they foster a “knowledge commons” that reduces the digital divide and accelerates innovation in biodiversity conservation. The session concludes with a roadmap for institutional policy-makers to align their Open Science mandates with these frameworks, ensuring that the transition to a sustainable future is technically robust, culturally inclusive, and ethically grounded.