Speaker
Description
Research data management i(RDM) has been receiving much attention, being in the focus of many institutes often upon pressure from funding agencies and by thriving for good scientific practice.
Several solutions are being developed, mostly focusing on central database systems allowing for structured data storage. These solutions allow for classification, access control, publishing of data. Some (such as the NOMAD system) also provide in-system data analysis.
However, a major part of the data and information originate from local personal computers. Depending on resources, such as computer facility, network bandwidth, etc., this local storage plays an often ignored, but organic part in the RDM. And it is this part where perhaps most information gets lost due to difficulties in keeping consistent storage practices.
(Another important aspect is that utilizing local storage, small institutes with limited resources can still maintain a several terrabytes large distributed data store.)
Here I propose the usage of a simple software that helps the user seeing a simplified folder tree for project management, as well as easy listing of experiment / data related metadata information. The RDM-desktop project aims to be a simple and easy tool only for this purpose not limiting the user in her/his routine activities. It is aimed to be simple and light-weight following the KISS development principles.