Cognitive Security · Paper · 2023

Open Access science needs Open Science Sensemaking (OSSm)

MetaArXiv

Catalog Row59
Citation KeyFriedman2023OpenAccessScienceNeeds059
Paper FolderAvailable

Overview

Extracted from the local paper documentation when available.

This paper argues for the necessity of Open Science Sensemaking (OSSm) to address the challenges of information overload and knowledge fragmentation in the scientific community. It proposes an interoperable and decentralized annotation network that allows researchers to record, own, and share their sensemaking data, thereby enhancing collective scientific understanding.

OSSmOpen Science Sensemakingscientific sensemakingannotation networksopen accessdecentralizedinformation overload

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • Introduces the concept of Open Science Sensemaking (OSSm) as a solution to scientific information overload.
  • Proposes a decentralized annotation network for sharing sensemaking data among researchers.
  • Highlights the importance of sensemaking data in improving scientific evaluation and collaboration.
  • Advocates for the integration of sensemaking data into the open science movement.
Methods / Techniques
  • Outlines a framework for an interoperable annotation network.
  • Examines existing sensemaking data practices and their limitations.
  • Analyzes the role of sensemaking data in algorithmic content curation and recommendation systems.
  • Discusses the application of FAIR principles to sensemaking data.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. Open Access science needs Open Science Sensemaking (OSSm). MetaArXiv.

Primary source Documentation BibTeX