10.5281/zenodo.5565578
https://zenodo.org/records/5565578
oai:zenodo.org:5565578
Richard J. Cordes
Richard J. Cordes
0000-0002-9913-7159
Complexity Weekend; COGSEC; Atlantic Council GeoTech Center
Shaun Applegate-Swanson
Shaun Applegate-Swanson
0000-0001-9474-6038
Complexity Weekend; Microsoft
Daniel Ari Friedman
Daniel Ari Friedman
0000-0001-6232-9096
Complexity Weekend; COGSEC; Active Inference Lab; University of California, Davis, Department of Entomology and Nematology
Virginia Bleu Knight
Virginia Bleu Knight
Complexity Weekend; Active Inference Lab
Alexandra Mikhailova
Alexandra Mikhailova
0000-0002-8699-7125
Complexity Weekend; University of California, Davis, Center for Neuroscience
Narrative Information Management
Zenodo
2021
Sensemaking
NIM
Narrative
Information Management
Knowledge Management
2021-10-12
eng
10.5281/zenodo.5565577
1.0
Creative Commons Attribution 4.0 International
There are many areas of research defined by their interest in information dynamics related to facilitating organizational sensemaking, such as knowledge management, information management, and library science, and many more areas of research, disciplines, and even hobbies which are facing information-related challenges. While all may be concerned with very similar challenges, lack of information exchange and common ontology between these areas may be causing silos, missed opportunities, and potentially even friction among areas. In this paper, we address the need for synthesis and exchange of knowledge, tools, and approaches among various fields by proposing Narrative Information Management (NIM) as a unifying term and framework for the fundamental features and challenges of facilitating collective sensemaking. Through this framework, we offer an initial common set of features of impactful information systems found in literature on information-focused disciplines, such as knowledge management, and explore what insights and ad-hoc solutions may be found in an eclectic set of fields facing information challenges, including personal finance, ancestry research, hybrid cloud infrastructure security, translational neuroscience, and genomics. Finally, we offer recommendations for future research.