ZONTAL Space is the first digital integration hub to enable high data integrity and reuse at enterprise scale.

The result is seamless compliance and a greater capacity to innovate.

Case Studies and Whitepapers

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HANDOUT - ZONTAL Space

Accelerate your data lake capabilities & drive insights into action.

Success Story - Process Harmonization

The roll out of ZONTAL Space enabled four labs at three different sites to define a common vocabulary and a unified target process that increased productivity and reliability. Find out more in the full case study.

Whitepaper - Digital Content Preservation

Digital content is an asset and a liability. ZONTAL Space was de- signed to protect, preserve, and enable reuse of digital contents.

Whitepaper - Exit Strategy in Place? Think twice.

Not sure what your data strategy is for delivering all your digital as-sets during an exit? Then it is time to get to know ZONTAL Space, the preventive cure for future exit headache.

HOW CUSTOMERS USE

ONE PLATFORM

Execute cross-functional organizational responsibilities by using a set of integrated and standardized software services that are shared across the enterprise.

Functional needs of individual business units are met by implementing platform-enabled applications.

DATA DISCOVERY AND REUSE

Enhance search capabilities relevant to any global enterprise data application and ensure that non-scientific and scientific data is highly discoverable and enabled for reuse. Finding and extracting layers of standardized metadata during the ingestion process can save an enterprise time and money.

REGULATORY COMPLIANCE

Manage data integrity and access controls across the enterprise. As more data is derived from more sources, centralized data lifecycle management helps companies to both strengthen supervision and enable innovation to take place.

ENTERPRISE PLATFORM

Execute cross-functional organizational responsibilities by using a set of integrated and standardized software services that are shared across the enterprise.

Functional needs of individual business units are met by implementing platform-enabled applications.

DATA DISCOVERY AND REUSE

Enhance search capabilities relevant to any global enterprise data application and ensure that non-scientific and scientific data is highly discoverable and enabled for reuse. Finding and extracting layers of standardized metadata during the ingestion process can save an enterprise time and money.

REGULATORY COMPLIANCE

Manage data integrity and access controls across the enterprise. As more data is derived from more sources, centralized data lifecycle management helps companies to both strengthen supervision and enable innovation to take place.

Testimonials

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“One of the simplest and slickest search UI’s I have ever seen on a piece of scientific software.“

Josh Bishop
Merck Research Laboratories IT, Scientific Support

Reduce Cost Through Standardization

Enterprise platforms are used to execute cross-functional organizational responsibilities by providing a set of integrated and standardized software services that are shared across the enterprise.

Functional needs of individual business units are met by implementing platform-enabled applications.

One Platform The Key to Unlocking Data Value

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  • Application agnostic
    Reduced IT footprint offers heightened integrity and security
  • Format agnostic
    Aggregation of scientific and non-scientific data formats provides a complete record
  • Regulation agnostic
    Compliance with GxP and non-GxP requirements eleminates cross-functional barriers
  • Location agnostic
    Cloud technology and micro service architecture offer the capacity for distributed on-premises or off-premises installations

Reduce Cost Through Standardization

Enterprise platforms are used to execute cross-functional organizational responsibilities by providing a set of integrated and standardized software services that are shared across the enterprise.

Functional needs of individual business units are met by implementing platform-enabled applications.

Enterprise Platform The Key to Unlocking Data Value

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  • Application agnostic
    Reduced IT footprint offers heightened integrity and security
  • Format agnostic
    Aggregation of scientific and non-scientific data formats provides a complete record
  • Regulation agnostic
    Compliance with GxP and non-GxP requirements eleminates cross-functional barriers
  • Location agnostic
    Cloud technology and micro service architecture offer the capacity for distributed on-premises or off-premises installations

Data Discovery and Reuse Make Data Findable, Accessible, Interoperable, and Reusable Across the Distributed Enterprise

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  • Application of the FAIR data principles
  • Contextual metadata enhance findability
  • Web services and web user interfaces provide secure access to metadata and content
  • Open standards and controlled vocabularies increase interoperability
  • Global access to local archives eliminates barriers to reusability

FAIR Data Principles

The highest data reuse is the goal of any leader in innovation. ZONTAL is the first platform to enable live data preservation for regulated and non-regulated industries that seek to uphold FAIR data principles and enable innovation at-scale.

FAIR Data Principles

The highest data reuse is the goal of any leader in innovation. ZONTAL is the first platform to enable live data preservation for regulated and non-regulated industries that seek to uphold FAIR data principles and enable innovation at-scale.

Data Discovery and Reuse Make Data Findable, Accessible, Interoperable, and Reusable Across the Distributed Enterprise

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  • Application of the FAIR data principles
  • Contextual metadata enhance findability
  • Web services and web user interfaces provide secure access to metadata and content
  • Open standards and controlled vocabularies increase interoperability
  • Global access to local archives eliminates barriers to reusability

Beyond Data Capture

See beyond traditional data capture opportunities and take on the level of strategic responsibility required by tomorrow’s enterprise automation initiatives.

  • Easily configure and validate data ingestion at scale. Acquire, share and reuse data.
  • Gain a more complete view of the innovation landscape ahead.
  • Strategic objectives toward automation are executed with the highest possible data integrity.

Regulatory Compliance Siloed Storage Systems can be a Risk to Business

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When different business units use siloed storage or data management systems, decades of data opportunities become lost. When data is not findable or accessible, companies and their customers are at great risk.

ZONTAL Space changes the way businesses aggregate, secure, preserve, access, and value their data assets.

  • Meet federal and regional data security requirements
  • Uphold and secure data retention periods and litigations
  • Sustainable formatting makes data forever up-to-date and relevant and offers the capacity to drive data innovation on-demand. 

Beyond Data Capture

See beyond traditional data capture opportunities and take on the level of strategic responsibility required by tomorrow’s enterprise automation initiatives.

  • Easily configure and validate data ingestion at scale. Acquire, share and reuse data.
  • Gain a more complete view of the innovation landscape ahead.
  • Strategic objectives toward automation are executed with the highest possible data integrity.

Regulatory Compliance Siloed Storage Systems can be a Risk to Business

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When different business units use siloed storage or data management systems, decades of data opportunities become lost. When data is not findable or accessible, companies and their customers are at great risk.

ZONTAL Space changes the way businesses aggregate, secure, preserve, access, and value their data assets.

  • Meet federal and regional data security requirements
  • Uphold and secure data retention periods and litigations
  • Sustainable formatting makes data forever up-to-date and relevant and offers the capacity to drive data innovation on-demand. 

Information Lifecycle Management Build Trust to Maximize Data Reuse

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  • Data ownership secures data value over time
  • Data governance manages documentation standards, ensures interoperability and simplifies collaboration
  • Data quality management maximizes data value and compliance
  • Data provenance builds trust and encourages reuse
  • Configurable workflows allow implementing business specific requirements
  • Automated retention schedules minimize efforts of archive management

Data Integrity, Quality and Provenance

Assessing data for its trustworthiness becomes important in data reuse with the growth in data creation because of the lack of standards for ensuring data quality and potential harm from using poor-quality data.

Data Integrity, Quality and Provenance

Assessing data for its trustworthiness becomes important in data reuse with the growth in data creation because of the lack of standards for ensuring data quality and potential harm from using poor-quality data.

Information Lifecycle Management Build Trust to Maximize Data Reuse

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  • Data ownership secures data value over time
  • Data governance manages documentation standards, ensures interoperability and simplifies collaboration
  • Data quality management maximizes data value and compliance
  • Data provenance builds trust and encourages reuse
  • Configurable workflows allow implementing business specific requirements
  • Automated retention schedules minimize efforts of archive management

Artificial Intelligence and Robotic Process Automation

80 percent of the work data scientists perform today, according to this Forbes Magazine report, can be automated. This puts great pressure on companies to FAIRify their data today, so that automated systems may be of the highest possible quality and performance.

Standardized APIs Secure and Automate Access to Metadata and Content

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  • Web service APIs integrate into the existing application landscape
  • Agents integrate laboratory instruments to improve data integrity
  • Allotrope Data Format (ADF) files transfer raw data, contextual metadata, audit trails and checksums in a vendor neutral format

Artificial Intelligence and Robotic Process Automation

80 percent of the work data scientists perform today, according to this Forbes Magazine report, can be automated. This puts great pressure on companies to FAIRify their data today, so that automated systems may be of the highest possible quality and performance.

Standardized APIs Secure and Automate Access to Metadata and Content

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  • Web service APIs integrate into the existing application landscape
  • Agents integrate laboratory instruments to improve data integrity
  • Allotrope Data Format (ADF) files transfer raw data, contextual metadata, audit trails and checksums in a vendor neutral format

Open Standards “Drive" Innovation and Sustainable Development

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  • ISO 14721: Reference Model for Open Archival Information Systems (OAIS)
  • ISO 16363: Trustworthy Repositories Audit and Certification (TRAC)
  • EMA “Best Archiving Practice” (BAP)
  • Allotrope Data Format, GxP compliant Data Container (ADF)
  • Public Ontologies (allotrope, prov, foaf, dc terms, qudt, …)
  • S3 compatible storage (Amazon S3, Dell ECS, Hitachi HCP, …)

Data Interoperability

The seamless, secure and controlled exchange of data is a serious challenge in maximizing the potential of the many digital tools and resources.

The lack of interoperability means that a complete record often will not be available, compromising compliance and inhibiting innovation.

Data Interoperability

The seamless, secure and controlled exchange of data is a serious challenge in maximizing the potential of the many digital tools and resources.

The lack of interoperability means that a complete record often will not be available, compromising compliance and inhibiting innovation.

Open Standards “Drive\" Innovation and Sustainable Development

ZontalSpace_dots
  • ISO 14721: Reference Model for Open Archival Information Systems (OAIS)
  • ISO 16363: Trustworthy Repositories Audit and Certification (TRAC)
  • EMA “Best Archiving Practice” (BAP)
  • Allotrope Data Format, GxP compliant Data Container (ADF)
  • Public Ontologies (allotrope, prov, foaf, dc terms, qudt, …)
  • S3 compatible storage (Amazon S3, Dell ECS, Hitachi HCP, …)

STANDARDS

A new frontier for data preservation and innovation
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OAIS

Reference model for “Open Archival Information Systems” (ISO 14721)

TRAC

Audit and certification of trustworthy digital repositories (ISO 16363)

BAP

EMA “Best Archiving Practice”

Allotrope

Allotrope Data Format: GxP compliant Data Container

Platform Architecture

The Open Archival Information System (OAIS) approach benefits a wide variety of organizations and institutions with diverse digital archiving needs.
Platform Architecture

Validation Process

ZONTAL creates trust by following consistent processes, detailed documentation, and setting a strong focus on sustainability. 
Validation Process

Meet us in Person

Allotrope Connect

7-11 October 2019
Genentech, South San Francisco, CA

Lab of the Future

13-14 November 2019
Wellcome Genome Campus, Cambridge, UK

Request a Demo Today

Access the full scope of enterprise data in a single platform. See beyond traditional data capture opportunities and take action on new data insights in a way that is collaborative, efficient, and secure.

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