★Dec. 8 18:00-19:00 Understanding experimental design and reproducibility / Improving data reproducibility

Online Seminar Understanding experimental design and reproducibility / Improving data reproducibility
Do you often struggle with reproducing your data effectively? In this webinar, experts will take you through the entire process of data acquisition and elaborate upon the different factors that can affect reproducibility, while providing you with some simple strategies to improve reproducibility of your data. *This seminar will be recorded, and the video will be available.
Date and Time	December 8, 2022, 18:00-19:00
How to participate	Please access the URL sent to you after applying.
Connection environment	PC with Internet and sound. * We use Zoom.
Lecturer	Dr. Monika Sobocan（Cactus Communications） Dr. Monika Sobocan is a medical doctor with over 5 years of experience in conducting quantitative and qualitative research. She has communicated the findings of her research in high impact-factor journals. She is highly involved in providing and evaluating medical education and serves on committees for technology enhanced learning in Europe. Her scientific interests are research in preventative and predictive medicine within the disciplines of oncology and female health. She has been recognized for her scientific work by a prestigious national fellowship for women in science.
Language	English
Content	・How your study design can impact data reproducibility ・How to identify the factors that influence reproducibility of data ・How to improve data reproducibility by optimizing your process of data acquisition


Video・Document	Please access WebClass. 　　　　　WebClass: Click here.　　How to access:Click here.
Sponsor	URA Division, Research University Promotion Organization Library
Contact Information	Library clerk E-mail: Phone:03-5803-5598

We will hold seminars about English research paper

　　　　　Oct.28 Developing and communicating good research questions
　　　　　Nov.18 Choosing the best study design
　　　　　Dec. 8 Understanding experimental design and reproducibility / Improving data reproducibility
　　　　　Jan.13 Developing and writing protocols
　　　　　Feb. 3 Clinical research methodology & tips for publishing medical research