We've just released RSpace version 1.53 and will be updating all our servers over the next few days. There are several significant improvements from 1.52 so we'd definitely recommend all self-managed customers to upgrade. Firstly, we've improved our ability to…
We've just released RSpace version 1.52 and will be updating all our servers over the next few days. The focus on this release is on usability, addressing frequently asked for features, and fixing some inconsistencies in existing behaviour. Many people…
We're putting the final touches to RSpace 1.50, which will be out later this week. There's a lot of improvements and new features to introduce, most of them based on suggestions and requests from you, our users. The most obvious…
The second week in February sees our first major release of 2018, 1.49. There's quite a few new features and improvements to bring up. First up, we've spruced up the top section of Notebook entries to give a cleaner, more easily…
The leaves may be turning yellow in Scotland, and the chilly mornings remind us that the year will soon be drawing to a close, but to the RSpace development team it always feels like springtime - we are continually hatching new features…
As RSpace 1.46 is now wrapped up and ready for release, here's a summary of the latest new features. This release we've concentrated on some new integrations and extending the API. First off, there's been quite an interest in using…
Here are at ResearchSpace, despite the enticement of the Scottish summer, our developers are working hard on the next RSpace release, due at the end of July. This month we have some significant new features that we hope will open more…
Dataverse and Research Space are pleased to announce an integration of the RSpace electronic lab notebook with Dataverse. This integration, described in the following brief video, enables researchers to deposit datasets directly from RSpace to any Dataverse.
By capturing lab data electronically in the RSpace ELN, and providing a simple deposit interface to Dataverse, we hope to make Dataverse more accessible to researchers, to foster a greater number of submissions, and to streamline the process of making datasets publicly available. Further curation can then be performed by data archivists using the full feature set of the Dataverse repository.
The growth in usage of both electronic lab notebooks and data repositories brings with it the need for the two kinds of digital environments to talk to each other. Researchers can now take advantage of RSpace to collect, share and organize research data, and directly deposit datasets of any complexity, including multiple documents in any format that can be structured in folders, and links to attachments, directly into Dataverse. The researcher’s ORCID id can be included as part of the export.
The integration enables researchers to take full advantage of Dataverse’s innovative approach to making datasets accessible and useful. Datasets archived in Dataverse can take advantage of persistent identifiers, automatically generated citations, robust metadata, and summary statistics and analysis for tabular files. Researchers depositing datasets into the Dataverse are offered tools allowing them to self-curate content deposited in the repository, with expanded curation services to be available in the near future.
The RSpace – Dataverse integration will be presented at the Dataverse Community call taking place on December 6 at 12 pm EST.
To learn more about the features of the Dataverse Project, visit Dataverse.org. To learn more about the features of RSpace, visit researchspace.com.
"I'm imagining a Slack button on each experiment page in the ELN where my students could click to send direct messages to me (or others) with a comment about the experiment It would then show up in my Slack message…
Here in the development team we're busy preparing the next release of RSpace which we plan to make available on July 14th. This release, we've completely overhauled the Templating system. We know that many of you use Templates but are…