Lab Notebook

Team Oneonta documented our daily progress and protocols throughout our work on project pHish and CHIPS. Our safety precautions, documentation methods, and procedures are described below

Responsible Conduct in Research

One of our top priorities as a team was to make sure we understood proper research procedures and implemented them accordingly. Each team member completed CITI Responsible Conduct of Research (RCR) training to be properly equipped for safe laboratory practices. Our team followed the SUNY Oneonta Chemical Hygiene Plan for waste management protocols of our biohazardous waste as well as any other waste we accumulated in the laboratory. Our labs were equipped with the appropriate PPE and any biohazardous waste was neutralized prior to disposal and all chemicals and potentially toxic materials were disposed of as toxic waste. To prevent contamination or spread of any of the materials used in the lab, open benches in the lab were regularly cleaned before and after use with acetone. Our Human Practices team completed RCR training in the Humanities and followed these best practices in their work.

Although our team did not handle any effluent as part of our research, we extensively researched common elements found within effluent and discussed with stakeholders the wastewater management and disposal process. More information on our research into waste produced by semiconductor manufacturing can be found on our Stakeholders and Industrial Waste page.

Documentation

Team pHish and CHIPS took care to thoroughly document our work. The standard procedures we used in the wet lab are compiled in our Protocol Manual and this work was recorded in Lab Notebooks. We also established a Daily Work Log form, which all team members would complete at the end of the day to report their daily activities. We also kept a Team Daily Log

Data Management Plan

While it is important to thoroughly document our work, our team also realized that we needed a strategy to organize, manage, and disseminate our data. Team members from both the science and human practices teams were tasked with creating a data management plan using a web server called DMPTool (2). A data management plan is a comprehensive plan for how data will be collected, processed, analyzed, described, preserved, and shared throughout the project and afterwards(1). This allows for proper documentation of the data and ensures its future use by other researchers. Many funding agencies in the United States, such as the National Institutes of Health, now require data management plans from awardees. DMPTool simplifies this process and provides guidance to ensure plans are structured and optimized according to research and institutional standards (2). Our plan for pHish and CHIPS is linked to the right.

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