This chapter outlines steps to make figures an effective communication tool for the scientist with a focus on assay development and high-throughput screening ( HTS) applications. The ability to convey results with clarity and accuracy does not require special skills but following some common guidelines can be very helpful in describing the data. Creating appropriate figures requires familiarity with constructing them as well as knowledge of the data.
Representation of data in graphs and tables is a key part of any scientific experiment. While these guidelines are general in nature and may not be inclusive of the requirements for publication within specific journals, they should provide a solid basis for reporting non-clinical data, independent of the presentation venue. These guidelines form the foundation for non-clinical data reporting mechanisms, such as laboratory notebooks and reports. Several fundamental statistical and numerical descriptions such as significant digits, replicates, error and correlations are also included, as they constitute an integral part of communicating results.
This chapter describes some basic guidelines for reporting non-clinical data with an emphasis on standard elements of graphs and tables and the use of these tools to describe data most appropriately. Understanding key concepts and methods for reporting data is also critical to preserve scientific findings. In order to convey the intended message and make a lasting impact, the data presented must be clear to the observer or reader.
#SIGMAPLOT 11, TWO SCALED Y AXIS PROFESSIONAL#
Reporting experimental and assay results can occur in many different settings, including informal laboratory meetings, technical reports, collaborative interactions, updates to management groups and presentations at professional conferences.