SampleDB
Attributes
DescriptionSampleDB is a web-based electronic lab notebook with a focus on sample and measurement metadata. (Source: SampleDB Documentation)
ProviderForschungszentrum Jülich, PGI/JCNS-TA Scientific IT-Systems
Information on Provider
Activity Statusactive
Information on ActiveLatest Release: v0.29.1 on August 20th, 2024.
Last checked on20.08.2024
Provider's data safety and data security strategiesRegular PostgreSQL Backup Strategies
Reference usersForschungszentrum Jülich, Peter Grünberg Institute 9, contact via Katja Palmen (k.palmen@fz-juelich.de). PGI9 uses SampleDB to provide researchers with prompt and location independent access to sample and measurement information. Python scripts are used to analyze the raw data of experiment and measurement facilities, filter out relevant metadata and transfer them into the SampleDB instance. Additionally, files are uploaded to the samples and measurements via the SampleDB HTTP API. SampleDB is used to keep track of the life cycle of samples including all measurements, and to fulfill the FAIR principles.
Reviews
Exit strategyExport as machine-readable JSON files
Communityhttps://lists.fz-juelich.de/mailman/listinfo/sampledb
Known users
General
LicenseOpen Source, MIT License
SubjectGeneric
PricingFree
VersionsDemo, SampleDB can be initialized with demo data.
Location of providerGermany
Usability
Customizable user interfaceNon-customizable user interface, Only minimal changes
LanguagesEnglish, German
SupportConsulting, Online documentation
Usage statisticsNo usage statistics
Offline functionalities
Core functions (Daily work)
Data inputBrowser forms, Calendar function, Plain text editor
Data import (formats)Image formats
Data import (method)Drag & Drop / File Chooser, Smartphone image upload (without App), Browser
Data exportComplete content in document format, Complete content in machine readable format
TemplatesDefine own templates, Jupyter notebook templates
Search functionsConditional search, Database queries, Advanced search, Full text search, Boolean operators can combine/modify search queries for the advanced search, Property Names, Text comparisons, Quantity comparisons, Date comparisons, Object or User References, Tag search
CollaborationComments, Role management, Rights management, Fixed Roles (Instrument Scientist, Administrator) and configurable Groups that act as Roles
Compliance with legal requirements
Preservation of evidenceVersioning, Timestamping
Compliance
Extended functions (Daily work)
Laboratory management functionsMaterials database, Sample Tracking
Integrations and extensionsJupyterHub, Dataverse, JupyterHub support needs to be customized to the individual JupyterHub user management and storage configuration
AutomationData analysis, Get data from instrument, Device control, via HTTP API
Device connectionWithout device connection
Project management toolsTask management
WorkflowsWith workflows, Export possible, Actions can be configured to model workflows
Integration in RDM and IT environment
Application programming interfacesREST API
Controlled vocabularyNot controlled
Data accessResponsive Design, Browser based
Data storage locationLocal
Authentication methodsLocal, LDAP
User account security measuresPasskeys, MFA
Usage optionOn-premises
Server operating systemLinux, Containerized Deployment via Docker/podman is recommended
Version History
You are currently viewing version 9 of the item.
1 - 8 of 8
| Version | Date | Summary |
|---|---|---|
9* | 2024-09-18 10:31:04 | Added info on hosting and authentication |
| 2024-08-20 07:53:06 | Update version number | |
| 2024-02-20 13:33:02 | Update version and add mailing list link | |
| 2023-07-20 07:56:35 | Update version number | |
| 2023-04-19 13:24:40 | Add reference user and update version number | |
| 2023-03-10 14:16:10 | Update to release v0.21.5 | |
| 2022-10-17 06:04:25 | Aktualisierung auf Metadatenschema 2.0 | |
| 2022-06-21 11:26:25 |
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