Research data is increasingly seen as the most significant untapped resource in scholarship. Awareness and practice of referencing and citing research data is increasing, and different initiatives to unambiguously identify datasets are in place. Steps are being taken to identify the individuals who created or contributed to research outputs. Lack of interoperability between the different initiatives to identify datasets and contributors remains a major hurdle. The ODIN project (ORCID and DataCite Interoperability Network) tries to address this need. ODIN builds on the ORCID and DataCite initiatives to uniquely identify scientists and data sets and connect this information across multiple services and infrastructures. It aims to address some of the critical open questions in the area. We describe a conceptual model to solve the interoperability between different identifiers for data and people.