Optimising RDM in Collaborative Engineering: A Self-Service, Template-Driven ELN Solution with SharePoint

Research output: Contribution to conferencesPosterContributedpeer-review

Abstract

SharePoint (SP) has been used as an Electronic Lab Notebook (ELN) at our institute for several years, supporting a diverse range of collaborative engineering research projects. Nevertheless, the traditional manual setup, adaptation, and customisation of SP as an ELN via the SP’s web interface has proved time-consuming, error-prone, and unscalable when managing a large portfolio of projects.

To address these challenges and improve Research Data Management (RDM) efficiency, we present a method enabling users to self-configure SP as an ELN through predefined templates without the need for specialist IT support. These predefined templates mirror typical engineering project structures, often modelled as process graphs where each node corresponds to a research process with associated data. Based on researchers’ selections, user-defined SP lists and the project’s process graph are dynamically generated, enabling intuitive navigation through the project workflow.

This method ensures consistent and reproducible site structures, significantly reduces manual workload, and leads to measurable reductions in setup time, error rates, and support requests. The approach is particularly advantageous for scalability, efficiency, and reproducibility, though it requires initial investment in template development and may have limitations for engineering projects with highly specialised requirements. Overall, this method strengthens RDM infrastructure and supports sustainable, collaborative engineering research.

Details

Original languageEnglish
Pages1-1
Number of pages1
Publication statusPublished - 23 Nov 2025
Peer-reviewedYes

Symposium

Title6th SaxFDM Conference
SubtitleSharing Data, Gaining Knowledge: Research Data Management Between Vision and Reality
Abbreviated titlesaxFDM 2025
Conference number6
Duration20 - 21 November 2025
Website
Degree of recognitionNational event
LocationSächsische Landesbibliothek – Staats- und Universitätsbibliothek Dresden (SLUB)
CityDresden
CountryGermany

External IDs

ORCID /0009-0009-9342-629X/work/197706811
ORCID /0000-0001-7540-4235/work/197962878

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Keywords

  • Research Data Management, Electronic Lab Notebook, Collaborative Research Project, Engineering Project, Self-Service, Reproducibility, Scalability, SharePoint