In a data-driven world, organizations need to extract business value from both structured and unstructured data, applying sophisticated data analytics techniques and emerging technologies. Despite the data-driven management strategies of an organization, vast amounts of data remain unused, known as dark data, thus intensifying the organizational challenge of finding a balance between data value extraction and ethical data handling. The ethical management of data requires deliberate governance efforts, particularly when extracting value from dark data. This paper aimed to devise an organizational guideline for handling dark data ethically. To achieve this objective, a systematic literature review of 52 papers from the Scopus database was executed, extracting dark data analytics mechanisms and categorizing them thematically. The categorized dark data analytics themes were mapped to create a matrix, the Organizational Guideline for Ethically Leveraging Dark Data (OGELDD), consisting of a matrix between the 5Ps of ethical data handling and the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. The value derived from applying the OGELDD is two-fold, including organizational operations value (organizational tactical support) and role-based value (support for multiple organizational roles). With such a practical guideline, organizations can manage dark data ethically while safeguarding privacy, security, and responsible usage, supporting informed decision-making toward creating a sustained competitive advantage.