- Dr. Chris Andrews PhD
- Amy Lu, MS
The overall goal of the Data Integrity Core (DIC) is to promote integrity of data production and analysis for University of Michigan researchers based on FAIR principles (Findability, Accessibility, Interoperability, and Reusability) stressed in the NIH’s strategic plan. In addition, the DIC will provide expert level input that will critique the feasibility of a proposal’s aims and hypotheses, thereby going beyond solely reviewing the proposed statistical approaches. Our core team will provide unique, independent critique of scientific strategies, ensuring diverse perspectives on methodologic approaches.
The DIC is located on the 8th floor of the Kellogg Eye Center’s Brehm Tower in Room 8320. Its staff will be readily accessible to vision scientists both virtually and in-person.
Advise on statistical analysis plans in relation to proposed specific aims and associated hypotheses
Assist in reviewing research projects and implementing FAIR principles throughout project lifecycles. Such activities include:
Review datasets, algorithms, tools, and pipelines (DATP) handling to enhance the integrity and reproducibility of data generated in vision research.
Identify and incorporate existing DATP resources for eye-specific projects across the University of Michigan.
Plan and monitor DATP during projects as appropriate.
Publish newly developed DATP resources as open-source resources as projects conclude.
Provide structured training on FAIR Guiding Principles and on locating and implementing cutting-edge methods and resources for data science and bioinformatics analyses.
The DIC has access to PCs, Linux workstations, and cloud computing resources for analyses and review of datasets. DIC computers have data management software, Adobe Photoshop, NIH Image J, R, SAS, and office productivity software. Each computer is connected to the local campus network, high-capacity storage drives with automatic duplication, and the Internet.