![]() Consequently, researchers are prone to develop a psychological state called information overload, which hampers creative thinking. Biomedical research is very data-driven and even the amount of data that one researcher generates can be overwhelming. A major limiting factor in biomedical research is access to information when and where it is needed, namely on the job. This work defines essential features of ELNs that could be used to improve ELN implementation and software development.īiomedical research is a prominent case of knowledge work, often driven by data and information. We also describe the advantages of using OneNote application for Apple Watch as an ELN wearable complement. In addition, 80% of the surveyed scientists reported that tablet-based devices improved the use of ELNs in different respects. Among the ELNs tested, we found that OneNote presents almost all parameters evaluated (39/42) and both surveyed groups preferred OneNote as an ELN solution. We finally explore the advantages of using wearable technology as ELNs tools. Second, we provide two survey-based studies aimed to compare these two ELNs (PerkinElmer Elements and Microsoft OneNote) and to analyze the use of tablet-based devices. Based on this, we chose two ELNs, which were tested by 28 scientists for a 3-month period and by 80 students via hands-on practical exercises. ![]() To implement an ELN in our biomedical research institute, here we first present a technical comparison of six ELNs using 42 parameters. In addition, the usage of tablet-based devices or wearable technology as ELN complements has never been explored in the field. Despite several reports describing technical characteristics of ELNs and their advantages over PLNs, no study has directly tested ELN performance among researchers. Electronic laboratory notebooks (ELNs) will probably replace paper laboratory notebooks (PLNs) in academic research due to their advantages in data recording, sharing and security.
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