Knowledge and Experience

with a little over 20 years of experience in writing, editing, teaching, researching, and more, significant knowledge and experience is bound to have been gained. Settings I've performed these activities in include in-office at a health insurance company, in homes and businesses, at summer camps, on-site at clients' locations, and at home. I've worked one-on-one, all the way up to interacting with 200+ children and adults, and everything in between.

Through decades of work, I've gained and demonstrated a wide variety of knowledge and experiences.

Knowledge

I've gained theoretical and conceptual understanding of the following through my work:

• Laboratories and laboratory informatics: This includes laboratory information management systems (LIMS), laboratory information systems (LIS), electronic laboratory notebooks (ELN), scientific data management systems (SDMS), chromatography data systems (CDS), electronic health records (EHR), and many other systems. Laboratories and their regulation, workflow, and automation are also understood.
• Other types of informatics as applied to science, research, and industry: While informatics may be applied to laboratories, it can also be applied to other scientific and industry efforts that may or may not incorporate laboratory work as we think of it. A good example is bioinformatics, which is more concerned with software and hardware applications to life science problems. Biodiversity and forest informatics are other examples.
• Background on a complex assortment of industries and research fields, and the application of informatics to them: From manufacturing industries to the clinical sciences, I've gained a broader understanding of how science and industry is applying informatics solutions to their workflows.
• Cannabis regulation, research, and laboratory testing: I single out cannabis as I put a lot of work into developing guides, articles, and encyclopedic entries on cannabis and its many touch points. Given the rapid change in regulation and test methods around the world, I found myself in this world a lot for several years, even adding and editing open-access journal articles to CannaQAwiki (now on LIMSwiki).
• COVID-19 testing, reporting, and information management: Similar to cannabis, several years of effort went into understanding the COVID-19 pandemic and its intersections with laboratories, their workflows, their reporting requirements, and their data management needs (and problems).
• Standards and regulations applicable to laboratories: Standardization and regulation touch not only laboratories but also software development, and as such, over the years I've gained a better understanding of these topics.
• Cybersecurity and cloud computing: I developed an entire guide for each of these topics. While a little removed from them at this point, I still have a relatively strong grasp of these topics, particularly as applied to laboratories.
• University-based informatics programs: Another topic I'm a bit more removed from, I still maintain a guide about such university programs and understand how these programs have changed (and dwindled) since the mid-2010s.
• FAIR Data Principles and artificial intelligence: This is my newest area of knowledge, and it is continuing to expand. I understand the FAIR Data Principles fairly well at this point and how they apply to research objects and software. I'm expanding my understanding of how they relate to science and industry on a broader scale, and how the application of FAIR to data in general makes it more ready for artificial intelligence (AI) training. I'm less versed in the actual fundamental concepts underlying AI and machine learning (ML), but through the loading and editing of journal articles on the topics, I've gained ground.
• The use of a variety of publishing tools: This will lead into the experience area, but it is important to have conceptual understanding of the software systems we use to publish content. Yes, the practical application is generally more important, but gaining knowledge of the inner workings of, for example, MediaWiki, over the years has helped me better understand what it is and is not capable of doing.

Experience

I've practically applied that knowledge as such: