RDM-desktop - a helper for data management on a PC

Research data management (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. This work is funded by the NFDI consortium FAIRmat - Deutsche Forschungsgemeinschaft (DFG) - Project 460197019

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-27
DOI
https://doi.org/10.5281/zenodo.14065530
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RDM-desktop - a helper for data management on a PC

Zenodo (CERN European Organization for Nuclear Research)
Energetic Materials and Combustion
article

RDM-desktop - a helper for data management on a PC

article en

Abstract

Research data management (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. This work is funded by the NFDI consortium FAIRmat - Deutsche Forschungsgemeinschaft (DFG) - Project 460197019

Zenodo (CERN European Organization for Nuclear Research)
DWI – Leibniz Institute for Interactive Materials (DE)
Partnerships for the goals, Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Energetic Materials and Combustion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.