Yolanda Gil from the USC Information Sciences Institute (http://www.isi.edu/~gil/) will lead an in-depth tutorial on the "Scientific Paper of the Future." This is a paper that follows best practices to document all the associated digital products that result from the research reported in the paper. The topics covered in this training session include:
- Enhancing a research paper with computational work
- Writing method details as a publishable technical report
- Publishing and citing data in three easy steps
- Getting credit for software written for a study
- Documenting provenance of paper results
The training is open to everyone, and does not assume prior knowledge. Previous participants have included data specialists, graduate students, research scholars, principal investigators, lab and institute directors, and librarians. It will consist of two 90-minute sessions with a break in between (with refreshments served).Why learn to write a Scientific Paper of the Future?
- Get credit for all your research products: The data you generate, the software you write, and the new methods you create are all valuable research products that you can cite and get credit for.
- Increase citations to your papers: Studies show that papers are cited more when they document well the computational methods, data, and software.
- Augment your vitae with data and software that you have written: You can convey your strengths in computational methods by including citable research products in your vitae.
- Write compelling data management plans for your funders: Proposals can be more successful if they include effective yet simple approaches to disseminating data and software
- Address new journal requirements: Address the increasing demands of journal editors who ask for detailed documentation of the computational aspects of your work
- Practice open and reproducible science: Adopt best practices that improve your reputation as a scientist
Presenter:
Yolanda Gil is Director of Knowledge Technologies and Associate Division Director at the Information Sciences Institute of the University of Southern California, and Research Professor in the Computer Science Department. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence. Dr. Gil collaborates with scientists in different domains on semantic workflows and metadata capture, social knowledge collection, and computer-mediated collaboration. She chaired the World Wide Web Consortium (W3C) group that led to the PROV provenance standard, and has done extensive work on reproducibility and semantic metadata. As part of her participation in the NSF EarthCube program, she and her team developed the Geoscience Paper of the Future Initiative that created training materials with best practices from digital scholarship, reproducible research, and open science. Dr. Gil is Past Chair of ACM SIGAI, the Association for Computing Machinery's Special Interest Group on Artificial Intelligence. She initiated and chaired the W3C Provenance Group that led to a community standard in this area. Dr. Gil has served in the Advisory Committee of the Computer Science and Engineering Directorate of the National Science Foundation. She was elected Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2012, and its 24th President in 2016.
