English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Mapping Hierarchical File Structures to Semantic Data Models for Efficient Data Integration into Research Data Management Systems

tom Wörden, H., Spreckelsen, F., Luther, S., Parlitz, U., & Schlemmer, A. (2024). Mapping Hierarchical File Structures to Semantic Data Models for Efficient Data Integration into Research Data Management Systems. Data, 9(2): 24. doi:10.3390/data9020024.

Item is

Files

show Files
hide Files
:
data-09-00024-with-cover.pdf (Publisher version), 387KB
Name:
data-09-00024-with-cover.pdf
Description:
-
OA-Status:
Gold
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
tom Wörden, Henrik, Author
Spreckelsen, Florian, Author
Luther, Stefan1, Author           
Parlitz, Ulrich1, Author           
Schlemmer, Alexander1, Author           
Affiliations:
1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

Content

show
hide
Free keywords: -
 Abstract: Although other methods exist to store and manage data in modern information technology, the standard solution is file systems. Therefore, keeping well-organized file structures and file system layouts can be key to a sustainable research data management infrastructure. However, file structures alone lack several important capabilities for FAIR data management: the two most significant being insufficient visualization of data and inadequate possibilities for searching and obtaining an overview. Research data management systems (RDMSs) can fill this gap, but many do not support the simultaneous use of the file system and RDMS. This simultaneous use can have many benefits, but keeping data in RDMS in synchrony with the file structure is challenging. Here, we present concepts that allow for keeping file structures and semantic data models (in RDMS) synchronous. Furthermore, we propose a specification in yaml format that allows for a structured and extensible declaration and implementation of a mapping between the file system and data models used in semantic research data management. Implementing these concepts will facilitate the re-use of specifications for multiple use cases. Furthermore, the specification can serve as a machine-readable and, at the same time, human-readable documentation of specific file system structures. We demonstrate our work using the Open Source RDMS LinkAhead (previously named “CaosDB”).

Details

show
hide
Language(s): eng - English
 Dates: 2024-01-262024-02
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/data9020024
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : ---
Grant ID : -
Funding program : -
Funding organization : -

Source 1

show
hide
Title: Data
  Other : data
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: 15 Volume / Issue: 9 (2) Sequence Number: 24 Start / End Page: - Identifier: ISSN: 2306-5729
CoNE: https://pure.mpg.de/cone/journals/resource/2306-5729