  Authoring survey or review articles still requires significant tedious manual
effort, despite many advancements in research knowledge management having the
potential to improve efficiency, reproducibility, and reuse. However, these
advancements bring forth an increasing number of approaches, tools, and
systems, which often cover only specific stages and lack a comprehensive
workflow utilizing their task-specific strengths. We propose the Streamlined
Workflow Automation for Machine-actionable Systematic Literature Reviews
(SWARM-SLR) to crowdsource the improvement of SLR efficiency while maintaining
scientific integrity in a state-of-the-art knowledge discovery and distribution
process. The workflow aims to domain-independently support researchers in
collaboratively and sustainably managing the rising scholarly knowledge corpus.
By synthesizing guidelines from the literature, we have composed a set of 65
requirements, spanning from planning to reporting a review. Existing tools were
assessed against these requirements and synthesized into the SWARM-SLR workflow
prototype, a ready-for-operation software support tool. The SWARM-SLR was
evaluated via two online surveys, which largely confirmed the validity of the
65 requirements and situated 11 tools to the different life-cycle stages. The
SWARM-SLR workflow was similarly evaluated and found to be supporting almost
the entire span of an SLR, excelling specifically in search and retrieval,
information extraction, knowledge synthesis, and distribution. Our SWARM-SLR
requirements and workflow support tool streamlines the SLR support for
researchers, allowing sustainable collaboration by linking individual
efficiency improvements to crowdsourced knowledge management. If these efforts
are continued, we expect the increasing number of tools to be manageable and
usable inside fully structured, (semi-)automated literature review workflows.
