Rethinking Laboratory Notebooks
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We take digitalization of laboratory work practice as a challenging design domain to explore. There are obvious drawbacks with the use of paper instead of ICT in the collaborative writing that takes place in laboratory notebooks
yet paper persist in being the most common solution. The ultimate aim with our study is to produce design relevant knowledge that can envisage an ICT solution that keeps as many advantages of paper as possible, but with the strength of electronic laboratory notebooks as well. Rather than assuming that users are technophobic and unable to appropriate state of the art software, we explore whether there are something inherent in current ICT infrastructure that invites resistance from the users. The method used is interviews, combined with a modified version of future workshops and the data are analyzed with activity theory. Our results concern issues of configurability, mobility, and the barrier between documentation and control, amongst other things.
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Number of citations to item: 8
- Isto Huvila (2022): Improving the usefulness of research data with better paradata, In: Open Information Science 1(6), doi:10.1515/opis-2022-0129
- James R. Eagan (2017): Grab ‘n’ Drop: User Configurable Toolglasses, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-67687-6_21
- Mary Beth Kery, Marissa Radensky, Mahima Arya, Bonnie E. John, Brad A. Myers (2018): The Story in the Notebook, In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3173574.3173748
- Gerard Oleksik, Natasa Milic-Frayling, Rachel Jones (2014): Study of electronic lab notebook design and practices that emerged in a collaborative scientific environment, In: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, doi:10.1145/2531602.2531709
- Philipp M. Scholl, Matthias Wille, Kristof Van Laerhoven (2015): Wearables in the wet lab, In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, doi:10.1145/2750858.2807547
- Dunja Mladenic (2021): Artificial Intelligence ( <scp>AI</scp> ) Transforming Laboratories, In: Digital Transformation of the Laboratory, doi:10.1002/9783527825042.ch21
- Dena Tahvildari (2015): Semantic Support for Recording Laboratory Experimental Metadata: A Study in Food Chemistry, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-18818-8_51
- Dhaval Vyas, Hinal Vyas, Maria A. Woodruff (2017): Everyday Creative Uses of Smartphone Images in Biomedical Engineering Laboratories, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-67744-6_22