The field of data management and research is shifting towards a more open and collaborative approach, with a strong emphasis on implementing the FAIR principles to ensure that data is findable, accessible, interoperable, and reusable. This is driven by the need to reduce duplication of effort, enable reproducibility, and facilitate interdisciplinary collaboration. Researchers are developing new frameworks, tools, and services to support the creation and reuse of FAIR digital objects, including workflows, data types, and software. A key challenge is the development of machine-actionable metadata and the integration of existing systems to support the adoption of FAIR principles. Noteworthy papers in this area include:

• A paper on workflows and principles for collaboration and communication in battery research, which develops a structured data management and interpretation system to enable sustainable data curation.
• A paper on an ecosystem of services for FAIR computational workflows, which proposes a framework for making workflows FAIR and enabling their reuse and reproducibility.
• A paper on towards machine-actionable FAIR digital objects with a typing model, which introduces a new typing model that enables operations to interact with the contents of FAIR digital objects.