Dark Lab or Smart Lab: The Challenges for 21st Century Laboratory Software

Jeremy Graham Frey

23 citations0/0 files storedOrganic Process Research & Development

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Scientific Computing and Data Management Semantic Web and Ontologies Distributed and Parallel Computing Systems

Abstract

A personal view of some of the challenges for modern laboratory software is described together with some of the techniques that can be used to solve them. New techniques to investigate and to understand the requirements in different laboratory settings are explored, as well as the use of semantic knowledge technologies coupled to pervasive and grid systems to create the necessary support for collaborative chemical laboratory investigations.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 23 citations exist upstream.

Cited by

2015Open source life science automation: Design of experiments and data acquisition via “dial-a-device”2016Generic and Automated Data Evaluation in Analytical Measurement 2020Implementing a digital infrastructure for the lab using a central laboratory server and the SiLA2 communication standard 2007Three Perspectives on Collaborative Knowledge Acquisition in e-Science

Imported from OpenAlex (CC0) — nothing here is generated.