I want to describe a recent attempt by a group of collaborators to share the research data associated with their just published article.[cite]10.1021/jacs.5b13070[/cite] I am here introducing things in a hierarchical form (i.e. not necessarily the serial order in which actions were taken). The data repository selected for the data sharing is described by (m3data) doi: 10.17616/R3K64N[cite]10.17616/R3K64N[/cite] A collaborative
NMR and GPC data for PCL, Table 1, entry 1 Version 11 of the Mestrenova software is required to process these NMR files, available free of charges from http://mestrelab.com/software/mnova/download Download the .mnpub signature file and load it into MestreNova to view the spectra. To view datasets obtained here, Mestrenova need not to be licensed.
Various data (NMR, SEC...) for Table 1 : Polycaprolactone and polycarbonate obtained from eCL/CHO mixture using a di-zinc catalyst. For NMR data, version 11 of the Mestrenova software is required to process these files, available free of charges from http://mestrelab.com/software/mnova/download Download the .mnpub signature file and load it into MestreNova to view the spectra. To view datasets obtained here, Mestrenova need not to be licensed.
A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles
figshare allows researchers to publish all of their research outputs in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets. Optional peer review process. figshare uses creative commons licensing.
Archive of work produced using the resources of the Imperial College High Performance Computing Service.