PPT-Integrity of Science Image Data

Issues and emerging standards Kirsten Miles PI Outcomes 1 Image Data Manipulation Best Practices in managing Image Data Discuss image data issues with your PI early on to establish procedures. Integrity:. The . Importance of Data Acquisition and Management.. Jennifer E. Van Eyk, Ph.D.. Prof. Medicine, Biol. Chem. and BME. Director, JHU Bayview Proteomics Center. Director, JHU ICTR Biomarker Development Center. Integrity:. The . Importance of Data Acquisition and Management.. Jennifer E. Van Eyk, Ph.D.. Prof. Medicine, Biol. Chem. and BME. Director, JHU Bayview Proteomics Center. Director, JHU ICTR Biomarker Development Center. Integrity:. The . Importance of Data Acquisition and Management.. Jennifer E. Van Eyk, Ph.D.. Prof. Medicine, Biol. Chem. and BME. Director, JHU Bayview Proteomics Center. Director, JHU ICTR Biomarker Development Center. Integrity:. The . Importance of Data Acquisition and Management.. Jennifer E. Van Eyk, Ph.D.. Prof. Medicine, Biol. Chem. and BME. Director, JHU Bayview Proteomics Center. Director, JHU ICTR Biomarker Development Center. Soup to Nuts. Skip Adolph, CPPM, CF. Judy Windle, CPPS. Data Integrity: What does it mean?. Understand Common Pitfalls. Review Deadly Offenders. Understand how to achieve and maintain clean, consistent data. Soup to Nuts. Skip Adolph, CPPM, CF. Judy Windle, CPPS. Data Integrity: What does it mean?. Understand Common Pitfalls. Review Deadly Offenders. Understand how to achieve and maintain clean, consistent data. Skip Adolph, CPPM, CF. Judy Windle, CPPS. Data Integrity: What does it mean?. Understand Common Pitfalls. Review Deadly Offenders. Understand how to achieve and maintain clean, consistent data. Objectives. Ashraf Mozayani, . PharmD. , PhD. Texas . Southern University . Barbara Jordan-Mickey Leland School of Public Affairs . Forensic Science Learning Lab. mozayania@tsu.edu. 713-313-7332 . Objectives . Terminology associated with data integrity and data manipulation. Version 1.0. Computer Security: Art and Science. , 2. nd. Edition. Slide 6-. 1. Overview. Requirements. Very different than confidentiality policies. Biba’s models. Strict Integrity policy. Lipner’s. Hash Functions. 12/7/2010. 1. Data Integrity. Message Authentication Code (MAC). Cryptographic hash function h(K,M) with two inputs:. Secret key K. Message M. Message integrity with MAC. Sequence of messages transmitted over insecure channel. USA . Pioneer. 1989:. Office . of. . Inspector. General (NSF) . and. Office . of. Research Integrity (. NIH). Nordic. countries: . Pioneer. in . Europe . Early . 1990s. Germany . 1999. (DFG . the responsible conduct of research.. We hope that by facilitating group discussions though these materials, we can better understand our research and scholarly practices, identify best practices, and foster a strong and diverse research culture that embraces integrity, collegiality and service at UBC. . Data Science Methodology. Randy Johnson, PhD. Advanced Biomedical Computational Science. April 23, 2019. Overview. Scientific method - Data science plays a role in. Study design. Study execution. Data analysis and interpretation. GMP Expert Committee, Quality and Technology Committee, Japan Pharmaceutical Manufacturers Association. DI Project - Prepared in May 2019. - . 1. -. Table of Contents. - . 2. -. Data Integrity - Why must we comply with this? –.