# Chemical Literature: CHEM 3600/5600 ## Time and Location This course is located in RAND 308 and will meet every Thursday from 1:15pm until 2:30pm. **Zoom Link:** [http://tiny.cc/chemlit2022][1] ## Schedule for First Day **First**, we will run through the syllabus and talk about the purpose for this course. **Second**, I will discuss some basic information about data management, the Open Science Framework, and how it will be incorporated into this course. **Third**, there will be a short assessment quiz that will help me understand how much experience each of you have with concepts related to information science and academic publishing. This quiz will NOT be graded so try not to stress out too much about it. You will need a laptop to complete this quiz as it is on Google Forms. **Finally**, I will show you what we will cover in the next class session. ## Course Description This course will focus on how to find information, organize research data, read and write effectively. This will be done by walking students through how to generate a research library, summarize journal articles, synthesize topics to address a single thesis, write a review article, review the work of others, and respond to reviewer comments. In the beginning of the course, we will learn how to use several chemistry databases and find quality literature effectively. This will include instruction on how to use a citation manager, how to develop a research question, and how to generate a keyword search using Boolean logic. We will then learn about the history and structure or journals and how to read them. This will then transition into both effective writing and how to create meaningful tables and figures. We will then learn what journal editors are looking for in works submitted to their journals and what the review process is like. You will then review the work of some of your colleagues and respond to reviews of your work. The last two session will be presentations on your topics to the class. Throughout the course you will be saving each of your assignments to the Open Science Framework. This will be done to help you practice making your research workflow understandable to other researchers. Research data practices like these will improve your research impact and your ability to reproduce your own work. ## Lecture Recordings * [http://tiny.cc/chemlit2022_recordings][1] ## Syllabus @[osf](z6scx) [1]: http://tiny.cc/chemlit2022