Living document with an overview of metadata repositories and their features.

If you are looking for a repository which provides support for a specific schema only you might have also a look at the Metadata Standards Catalogs:

• https://msc.datamanager.kit.edu
• https://rdamsc.bath.ac.uk

There you might find a repository tailored for your specific needs.

AIMS – Applying Interoperable Metadata Standards

Introduction

A platform for creating and sharing metadata schemas for better research data management in engineering. Implementing a modular metadata concept with a focus keeping interoperability while allowing highly specific description of metadata. In addition to a repository for subject-specific application profiles for subsequent use, it also provides a generator for their creation and improvement based on controlled vocabularies. These are supplemented by a repository in which validated metadata records corresponding to the application profiles can be published. Researchers can access all content on the platform via a central search function and easily reuse relevant content. The core idea of AIMS is to provide low-threshold access for an improved metadata management. Technically build around RDF and SHACL based application profiles also with a focus on interoperability with existing standards, interfaces and semantic technologies.

Datasheet

Status: 16.06.2021

Features

Status: 16.06.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 16.06.2021

• Metadata Repository only one part of a bigger platform.
• Focus on UI and related backend for user-friendly metadata schema creation, re-use and sharing implemented as RDF SHACL application profiles.
• Extensive API for integration in scientific workflows to track metadata during data creation and analysis.

Functionality

Status: 16.06.2021

Remarks

• Focus on usability and low-threshold access.
• Compatibility with existing standards and terminologies.
• Accessible to other applications via SPARQL endpoints.

CKAN

Introduction

CKAN is a tool for making open data websites. It helps you manage and publish collections of data. It is used by national and local governments, research institutions, and other organizations who collect a lot of data. (https://docs.ckan.org/en/2.9/user-guide.html)

Datasheet

Status: 14.06.2022

Features

Status: 08.06.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 08.06.2021

• Creation of a federated network of data portals which share data between each other.
• Create data-visualisation views and expose data as line, bar and pie charts.
• Advanced geospatial features, covering data preview, search, and discovery.

Functionality

Status: 08.06.2021

Remarks

Higly customizable via extensions.

Cordra

Introduction

Highly configurable software for managing digital objects at scale.

Datasheet

Status: 14.06.2022

Features

Status: 19.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

• Scalable infrastructure (allows load balancing)
• Referencing one schema from another
• Online editor for creating metadata documents (may not work with references)
• Validates supplied information against one or more pre-defined JSON schemas, and stores them as digital objects
• adoptable via hooks
  • e.g. validation
• Highly configurable
• DOIP (Digital Object Interface Protocol) support
• IRP (Identifier/Resolution Protocol) support
• Indexing (via configured service (e.g. solr, elasticsearch, ...)
• OAI-PMH (!?) (via Metadata Translation) Proof-of-concept

Functionality

Status: 19.05.2021

Remarks

Optimized for handling NoSQL information. Integrates popular storage and indexing solutions, and presents a unified interface. Provides configurable hooks to validate and update information at various stages of a digital object lifecycle.

Coscine

Introduction

Coscine is an integration platform for research data. It simplifies metadata management, project member management, and allows to conveniently archive research data.

Datasheet

Status: 16.06.2021

Features

Status: 16.06.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 16.06.2021

• Has a UI which can generate form elements based on RDF SHACL application profiles
• Interaction with a multitude of storage providers
• Provides access to its own version of S3 storage, called "RDS"

Functionality

Status: 16.06.2021

Remarks

• Strong emphasis on following the FAIR principles
• Focus on collaborative work
• Uncomplicated data access

DSpace

Introduction

The software of choice for academic, non-profit & commercial organizations building open digital repositories

Datasheet

Status: 14.06.2022

Features

Status: 21.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 21.05.2021

• Supports preservation / curation
• Used by many sites

Functionality

Status: 21.05.2021

Remarks

• Not only a metadata repository.
• It allows to store (XML) metadata next to your digital objects.
• Ingest via 'DSpace Simple Archiv Format' contains
  • DC metadata (xml)
  • metadata (xml) linked to a registered schema (DSpace Metadata Schema Registry) via prefix
  • content

Fedora

Introduction

Fedora is the flexible, modular, open source repository platform with native linked data support.

Datasheet

Status: 14.06.2022

Features

Status: 17.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

• no limits regarding file types
• no limits for file size

Functionality

Status: 19.05.2021

Remarks

• Extendable architecture
• Support for Linked Data
• Preservation ready
• Update to new version (beta status 05/2021) (coming soon)

GeRDI - Generic Research Data Infrastructure

Introduction

The GeRDI project deals with the development of a Generic Research Data Infrastructure (GeRDI). The aim is to enable all scientists in Germany, especially those who hold only small amounts of data, to store, share and re-use research data across disciplines.

Datasheet

Status: 19.05.2021

Features

Status: 19.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

Analyze data on HPC systems via Jupyter Hub.

Functionality

Status: 19.05.2021

Remarks

Supports FAIR DO

Invenio RDM

Introduction

InvenioRDM - a repository/document management platform.

Datasheet

Status: 14.06.2022

Features

Status: 19.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

• extendible by (own) plugins
• search via elasticsearch (you have to define mappings manually)

Functionality

Status: 19.05.2021

Remarks

• On heavy development
  • Invenio RDM: New release in summer 2021
• Scalable (100+ million records)
• Available as docker image

Invenio Instances

• CERN Open Data
• INSPIRE
• Zenodo
• B2Share
• DESY PUBDB
• European XFEL
• ...

Metacat

Introduction

Metacat, a metadata service to make data and metadata easy to discover, process and manage. Metacat supports many datasources as backend.

Datasheet

Status: 14.06.2022

Features

Status: 15.02.2022

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 25.02.2022

• Support OAI-PMH (oai_dc, EML)

Functionality

Status: 15.02.2022

Remarks

At a higher level, Metacat features can be categorized as follows:

• Data abstraction and interoperability
• Business and user-defined metadata storage
• Data discovery
• Data change auditing and notifications
• Hive metastore optimizations

MetaStore

Introduction

MetaStore is a metadata repository for managing millions of metadata documents. MetaStore supports communities with their specific schemas (XSD, JSON Schema).

Datasheet

Status: 14.06.2022

Features

Status: 17.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 17.05.2021

MetaStore consists of two parts:

• Metadata Repository for managing metadata documents
• Schema Registry for registering schema documents

Metadata Repository

• Up to million of documents (tested with 10 M metadata documents)
• Automatic validation during ingest
• High throughput, high performance (ingest & access)
  • Live interaction / online handling and manipulation of metadata documents for data of ongoing research

Schema Registry

• Registering schema documents (XSD, JSON Schema)
• Supports arbitrary number of user-defined metadata schemas
  • Supports different versions of a metadata schema

Functionality

Status: 17.05.2021

Remarks

Enhanced services

• Metadata Standards Catalog
  • Human readable description for finding appropriate schema
  • Direct access to schema via MetaStore.
• Metadata Explorer (Outlook)
  • Exploring metadata by content
• Metadata Editor (coming soon)
  • Update schema/documents online
• Authentication Server
  • If a separate authentication service is to be set up.

MyCoRe

Introduction

MyCoRe is a framework for presentation and management of digital content. It enables the creation of own applications, i.e. repositories, bibliographies and digital libraries.

Datasheet

Status: 01.06.2022

Features

Status: 17.05.2022

Additional Features

Status: 01.06.2022

The MyCoRe framework

• supports the creation of static and dynamic web pages.
• includes an image viewer which supports several formats (i.e. jpeg, png, tiff, pdf, epub).
• enables creation of a sitemap which conforms to the Google Sitemap protocol.
• provides the relevant data to use the DFG Viewer.
• supports various classification systems, such as DDC, PACS, MeSH, vocabularies for publication and document types (DINI, DCMI) as well as languages (ISO 639.2). It is possible to browse and edit classifications.

Functionality

Status: 31.05.2022

Remarks

MyCoRe uses the Apache Commons Virtual File System. Files can be stored locally or on remote servers.

MyCoRe follows a yearly release cycle: new LTS versions get released in September, with developer previews between major versions.

Open Science Framework (OSF)

Introduction

You may use OSF as a long-term data repository, electronic lab notebook, or as the collaboration tool for your team’s research.

Datasheet

Status: 17.05.2021

Features

Status: 17.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 17.05.2021

OSF may be used to manage your entire project from one place.

As a collaboration tool, OSF helps research teams work on projects privately or make the entire project publicly accessible for broad dissemination. As a workflow system, OSF enables connections to the many products researchers already use, streamlining their process and increasing efficiency.

Functionality

Status: 17.05.2021

Remarks

• Up to 50GB free public storage (5GB private storage)
• Extendable by Addons
• At least one server is located in Germany

Zenodo

Introduction

Free software suite enabling own digital library or document repositories built on top of Invenio.

Datasheet

Status: 21.05.2021

Features

Status: 21.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 21.05.2021

Service is free for everybody with some limits.

• file size < 50GB per dataset
• data stored at CERN Data Center -> long term preservation

Functionality

Status: 21.05.2021

Remarks

Repository for any kind of digital objects. CERN Data Center guarantees a high reliability.

AIMS – Applying Interoperable Metadata Standards

Introduction

A platform for creating and sharing metadata schemas for better research data management in engineering. Implementing a modular metadata concept with a focus keeping interoperability while allowing highly specific description of metadata. In addition to a repository for subject-specific application profiles for subsequent use, it also provides a generator for their creation and improvement based on controlled vocabularies. These are supplemented by a repository in which validated metadata records corresponding to the application profiles can be published. Researchers can access all content on the platform via a central search function and easily reuse relevant content. The core idea of AIMS is to provide low-threshold access for an improved metadata management. Technically build around RDF and SHACL based application profiles also with a focus on interoperability with existing standards, interfaces and semantic technologies.

Datasheet

Status: 16.06.2021

Features

Status: 16.06.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 16.06.2021

• Metadata Repository only one part of a bigger platform.
• Focus on UI and related backend for user-friendly metadata schema creation, re-use and sharing implemented as RDF SHACL application profiles.
• Extensive API for integration in scientific workflows to track metadata during data creation and analysis.

Functionality

Status: 16.06.2021

Remarks

• Focus on usability and low-threshold access.
• Compatibility with existing standards and terminologies.
• Accessible to other applications via SPARQL endpoints.

CKAN

Introduction

CKAN is a tool for making open data websites. It helps you manage and publish collections of data. It is used by national and local governments, research institutions, and other organizations who collect a lot of data. (https://docs.ckan.org/en/2.9/user-guide.html)

Datasheet

Status: 14.06.2022

Features

Status: 08.06.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 08.06.2021

• Creation of a federated network of data portals which share data between each other.
• Create data-visualisation views and expose data as line, bar and pie charts.
• Advanced geospatial features, covering data preview, search, and discovery.

Functionality

Status: 08.06.2021

Remarks

Higly customizable via extensions.

Cordra

Introduction

Highly configurable software for managing digital objects at scale.

Datasheet

Status: 14.06.2022

Features

Status: 19.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

• Scalable infrastructure (allows load balancing)
• Referencing one schema from another
• Online editor for creating metadata documents (may not work with references)
• Validates supplied information against one or more pre-defined JSON schemas, and stores them as digital objects
• adoptable via hooks
  • e.g. validation
• Highly configurable
• DOIP (Digital Object Interface Protocol) support
• IRP (Identifier/Resolution Protocol) support
• Indexing (via configured service (e.g. solr, elasticsearch, ...)
• OAI-PMH (!?) (via Metadata Translation) Proof-of-concept

Functionality

Status: 19.05.2021

Remarks

Optimized for handling NoSQL information. Integrates popular storage and indexing solutions, and presents a unified interface. Provides configurable hooks to validate and update information at various stages of a digital object lifecycle.

Coscine

Introduction

Coscine is an integration platform for research data. It simplifies metadata management, project member management, and allows to conveniently archive research data.

Datasheet

Status: 16.06.2021

Features

Status: 16.06.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 16.06.2021

• Has a UI which can generate form elements based on RDF SHACL application profiles
• Interaction with a multitude of storage providers
• Provides access to its own version of S3 storage, called "RDS"

Functionality

Status: 16.06.2021

Remarks

• Strong emphasis on following the FAIR principles
• Focus on collaborative work
• Uncomplicated data access

DSpace

Introduction

The software of choice for academic, non-profit & commercial organizations building open digital repositories

Datasheet

Status: 14.06.2022

Features

Status: 21.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 21.05.2021

• Supports preservation / curation
• Used by many sites

Functionality

Status: 21.05.2021

Remarks

• Not only a metadata repository.
• It allows to store (XML) metadata next to your digital objects.
• Ingest via 'DSpace Simple Archiv Format' contains
  • DC metadata (xml)
  • metadata (xml) linked to a registered schema (DSpace Metadata Schema Registry) via prefix
  • content

Fedora

Introduction

Fedora is the flexible, modular, open source repository platform with native linked data support.

Datasheet

Status: 14.06.2022

Features

Status: 17.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

• no limits regarding file types
• no limits for file size

Functionality

Status: 19.05.2021

Remarks

• Extendable architecture
• Support for Linked Data
• Preservation ready
• Update to new version (beta status 05/2021) (coming soon)

GeRDI - Generic Research Data Infrastructure

Introduction

The GeRDI project deals with the development of a Generic Research Data Infrastructure (GeRDI). The aim is to enable all scientists in Germany, especially those who hold only small amounts of data, to store, share and re-use research data across disciplines.

Datasheet

Status: 19.05.2021

Features

Status: 19.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

Analyze data on HPC systems via Jupyter Hub.

Functionality

Status: 19.05.2021

Remarks

Supports FAIR DO

Invenio RDM

Introduction

InvenioRDM - a repository/document management platform.

Datasheet

Status: 14.06.2022

Features

Status: 19.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 19.05.2021

• extendible by (own) plugins
• search via elasticsearch (you have to define mappings manually)

Functionality

Status: 19.05.2021

Remarks

• On heavy development
  • Invenio RDM: New release in summer 2021
• Scalable (100+ million records)
• Available as docker image

Invenio Instances

• CERN Open Data
• INSPIRE
• Zenodo
• B2Share
• DESY PUBDB
• European XFEL
• ...

Metacat

Introduction

Metacat, a metadata service to make data and metadata easy to discover, process and manage. Metacat supports many datasources as backend.

Datasheet

Status: 14.06.2022

Features

Status: 15.02.2022

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 25.02.2022

• Support OAI-PMH (oai_dc, EML)

Functionality

Status: 15.02.2022

Remarks

At a higher level, Metacat features can be categorized as follows:

• Data abstraction and interoperability
• Business and user-defined metadata storage
• Data discovery
• Data change auditing and notifications
• Hive metastore optimizations

MetaStore

Introduction

MetaStore is a metadata repository for managing millions of metadata documents. MetaStore supports communities with their specific schemas (XSD, JSON Schema).

Datasheet

Status: 14.06.2022

Features

Status: 17.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 17.05.2021

MetaStore consists of two parts:

• Metadata Repository for managing metadata documents
• Schema Registry for registering schema documents

Metadata Repository

• Up to million of documents (tested with 10 M metadata documents)
• Automatic validation during ingest
• High throughput, high performance (ingest & access)
  • Live interaction / online handling and manipulation of metadata documents for data of ongoing research

Schema Registry

• Registering schema documents (XSD, JSON Schema)
• Supports arbitrary number of user-defined metadata schemas
  • Supports different versions of a metadata schema

Functionality

Status: 17.05.2021

Remarks

Enhanced services

• Metadata Standards Catalog
  • Human readable description for finding appropriate schema
  • Direct access to schema via MetaStore.
• Metadata Explorer (Outlook)
  • Exploring metadata by content
• Metadata Editor (coming soon)
  • Update schema/documents online
• Authentication Server
  • If a separate authentication service is to be set up.

Open Science Framework (OSF)

Introduction

You may use OSF as a long-term data repository, electronic lab notebook, or as the collaboration tool for your team’s research.

Datasheet

Status: 17.05.2021

Features

Status: 17.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 17.05.2021

OSF may be used to manage your entire project from one place.

As a collaboration tool, OSF helps research teams work on projects privately or make the entire project publicly accessible for broad dissemination. As a workflow system, OSF enables connections to the many products researchers already use, streamlining their process and increasing efficiency.

Functionality

Status: 17.05.2021

Remarks

• Up to 50GB free public storage (5GB private storage)
• Extendable by Addons
• At least one server is located in Germany

Zenodo

Introduction

Free software suite enabling own digital library or document repositories built on top of Invenio.

Datasheet

Status: 21.05.2021

Features

Status: 21.05.2021

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Additional Features

Status: 21.05.2021

Service is free for everybody with some limits.

• file size < 50GB per dataset
• data stored at CERN Data Center -> long term preservation

Functionality

Status: 21.05.2021

Remarks

Repository for any kind of digital objects. CERN Data Center guarantees a high reliability.

Evaluation Matrix

Status: 15.02.2022

For more detailed information please use the links in the table header.

Description

• Register Schema:
  • Support for arbitrary schemas of a specific format (e.g. JSON Schema, XSD)
  • The schema should at least be referencable by a unique identifier.
• Update Schema:
  • Possibility to
    • work on different versions of a schema
    • adapt schemas over time
• Validate Schema:
  • Check schema for correct syntax
• Ingest Metadata:
  • Store metadata (document) in repository
    • Ideally with previous validation
• Update Metadata:
  • Possibility to update already ingested metadata (documents).
• Validate Metadata:
  • Possibility to validate documents on the basis of registered schemas.
• Search by Administrative MD:
  • Search documents by their metadata (e.g. ingest date, ingester, ...)
• Search by Content:
  • Search documents by their content
• Persistent Identifier:
  • Support for Persistent Identifiers (e.g. DOI, Handle)

Footnotes