Digital Transformation of the Laboratory. Группа авторов
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Part IV: Case Studies
12 Understanding and Defining the Academic Chemical Laboratory's Requirements: Approach and Scope of Digitalization Needed
12.1 Types of Chemistry Laboratory
12.2 Different Stages of Digitalization
12.3 Preparatory Stage
12.4 Laboratory Stage
12.5 Transferal Stage
12.6 Write‐up Stage
12.7 Conclusions and Final Considerations
References
13 Guidelines for Chemistry Labs Looking to Go Digital
13.1 Understanding the Current Setup
13.2 Understanding Your Scientists and Their Needs
13.3 Understanding User‐based Technology Adoption
13.4 Breaking Down the Barriers Between Science and Technology
13.5 Making Your Laboratory Team Understand Why This Is Necessary
13.6 Working with Domain Experts
13.7 Choosing the Right Software
13.8 Changing Attitude and Organization
References
14 Electronic Lab Notebook Implementation in a Diagnostics Company
14.1 Making the Decision
14.2 Problems with Paper Notebooks
14.3 Determining Laboratory's Needs
14.4 Testing
14.5 A Decision
14.6 How to Structure the ELN
14.7 Conclusion
15 Identifying and Overcoming Digitalization Challenges in a Fast‐growing Research Laboratory
15.1 Why Going Digital?
15.2 Steps to Introduce ELNs in Lab Practice
15.3 Creating the Mindset of a Digital Scientist
15.4 The Dilemma of Digitalization in Academia
16 Turning Paper Habits into Digital Proficiency
16.1 Five Main Reasons for the Implementation of a Digital System to Manage the Research Data
16.2 The Six‐step Process of Going from Paper to Digital
16.3 Onboarding All Team Members and Enhancing the Adoption of the New Technology in the Lab
16.4 Benefits of Switching from Paper to Digital
17 Going from Paper to Digital: Stepwise Approach by the National Institute of Chemistry (Contract Research)
17.1 Presentation of our CVTA Laboratory
17.2 Data Management Requirements Explained in Detail
17.3 Going from Paper to Digital
17.4 Implementation of SciNote (ELN) to CVTA System
17.5 Suggestions for Improvements and Vision for the Future
References
18 Wet Lab Goes Virtual: In Silico Tools, ELNs, and Big Data Help Scientists Generate and Analyze Wet‐lab Data
18.1 CRISPR‐Cas9 Explained
18.2 Introduction of the Digital Solutions and ELN into the Laboratory
18.3 The Role of the ELN and In Silico Tools in the Genome‐editing Process
18.4 The