This course will be available online via Zoom. Registration is required to secure your spot. This course will NOT be recorded – attendance is required.
Although graduate school teaches you many things, many PhD students complete their dissertations having never been fully trained in academic publishing. How does academic publishing actually work? Where should you publish your research? How do you actually get papers accepted in strong academic journals? In this talk, we will discuss several major ideas in academic publishing (focusing on the social sciences). We will discuss (1) professional integrity and ethics; (2) the role of academic conversations and communities as a guide for publication forums and journal selections; (3) the mechanics of publishing in journals and other forums (including outlining, writing style, journal, legal, and newspaper submissions, the peer review process, revisions, and corresponding with editors); and (4) acceptance and all that follows.
There will be a 1-hour lunch from 11:45 a.m. to 12:45 p.m. and (2) 15-minute breaks (one in the morning and one in afternoon).
Training in Rigor and Reproducibility varies across countries and institutions. In this talk, representatives from Reproducibility for Everyone (R4E), Community for Rigor (C4R), and Framework for Open and Reproducible Research Training (FORRT) will present their courses, workshops, materials, resources, and communities working on advancing research transparency, reproducibility, rigor, and ethics.
Speakers:
Nafisa Jadavji, PhD, FAHA
Assistant Professor
Southern Illinois University
Susan McClatchy, MS
Bioinformatics Analyst III
The Jackson Laboratory
Hao Ye, PhD
Curriculum Lead
Community for Rigor
Flavio Azevedo, PhD
Assistant Professor
Utrecht University
Working with big data requires specialized tools. In this seminar, JP Powers, PhD, a research data scientist in the TraCS Data Science Lab, will introduce Apache Spark, an open-source engine for large-scale data processing.
Seminars in the NC TraCS Data Science Lab Seminar Series will cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars will be held on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.