Data Management Plan for a Biotechnology and Biological Sciences Research Council (BBSRC) Tools and Resources Development Fund (TRDF) Grant

descriptionPublicationkeyboard_double_arrow_right Article 05 Jan 2017Publisher:Pensoft PublishersJournal:Research Ideas and Outcomes, volume 3, page e11624 (eissn: 2367-7163,

Copyright policy )

Authors: Gatto, Laurent;

doi: 10.3897/rio.3.e11624

Data Management Plan for a Biotechnology and Biological Sciences Research Council (BBSRC) Tools and Resources Development Fund (TRDF) Grant

- Summary
- Subjects
- Metrics

Abstract

This Data Management Plan (DMP) was created for Laurent Gatto's BBSRC Tools and Resources Development Fund award (BB/N023129/1). The DMP describes the management and sharing of all data and code associated with the grant, including software dissemination and release schedule, source code development and open source licensing, software documentation, reproducible framework and data annotation and dissemination.

Related Organizations

University of Cambridge
United Kingdom

Keywords

software,, machine learn, Spatial proteomics, Science, Q, Bioconductor, Spatial proteomcis, machine learning, proteomics, mass spectrometry

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average