Implementing a data sharing or management policy may require a number of steps, depending on the scope of the policy being implemented. The institution issuing the policy is responsible for putting in place the systems and procedures necessary for ensuring compliance to that policy from a member of the institution. To better explain the concept of implementing this type of policy, it is useful to provide a case study from the University of Edinburgh in Scotland. The process of implementing a data management policy involved the following activities:
- First creating an implementation committee that included members from across the Information Services at the University. This committee was charged with delivering services to meet policy objectives and to report to the academic Steering Group whose goal it was to ensure that the services proposed would be relevant and applicable.
- The subsequent component of the policy implementation focused on providing tailored data management planning for Principal Investigators (PIs) submitting research proposals and evaluating the Data Management Planning Online Tool for specific uses at Edinburgh.
- The third component involved creating an active data infrastructure for facilities to store data from current research activities at the University. This infrastructure includes providing researchers with access to the data storage and helpful tools to assist in working with their data.
- The fourth component focused on the concept of Data Stewardship, which can be described as providing the tools and services needed to aid in the description, deposit and ongoing management of completed research data.
- Data management support is the fifth component and it is designed to provide consultation programs and support services to researchers throughout their research process.
- The final component of implementing a policy that focuses on data sharing and data management is to create awareness within the institution. This task involves reaching out to all communities within the University who are working with data to ensure that they are aware of the requirements placed upon them as well as the host of services they can use such as the data management support and data infrastructure.