DataGovs for Specification Management

DataGovs for Specification Management

Every organization dealing with products and package has to work with specification requirements that they need to meet. In physical products, Stock Keeping Units (SKUs), have grown wildly and teams struggle to keep track of all the various types. The tools to track this are often spreadsheets, excel, emails, and legacy systems that keep teams behind on tasks. In a modern data world, teams are looking to update how they manage specifications. Here is how DataGovs sits in the data management workflow to collect and analyze data fast for teams.


DataGovs play a role in assisting industries with specification management. Specification management refers to the process of defining, organizing, and controlling the specific requirements and characteristics of products, materials, or processes used in various industries. This information is vital for ensuring consistency, quality, and compliance throughout the product development and manufacturing lifecycle. 


Here’s how our software is helping in this context:

  • Centralized Data Repository: A unified API where all specifications related to products, materials, and processes can be stored. This ensures that the information is easily accessible to relevant stakeholders across the organization.
  • Version Control: Specifications may go through multiple revisions during their lifecycle. Data management software enables version control, ensuring that the latest version is always available and easily identifiable. DataGovs ensures that everyone is working with the most up-to-date information.
  • Collaboration and Workflow Management: Often, multiple teams and departments are involved in creating and approving specifications. It also facilitates the implementation of structured workflows, ensuring that the right people review and approve specifications at each stage.
  • Cross-Referencing and Traceability: With DataGovs, industries can easily cross-reference specifications with other related documents, such as regulations, standards, or test results. This traceability ensures that each specification is compliant with relevant requirements and helps in identifying potential issues or deviations.
  • Search and Retrieval: Data management software typically includes powerful search functionalities, allowing users to quickly find specific specifications or related data. 
  • Quality Control and Compliance: By enforcing standardized specification management processes, DataGovs helps improve quality control and compliance. It ensures that products are manufactured consistently to meet required standards, reducing the risk of defects and regulatory violations.
  • Analytics and Reporting: Analytical tools integrated into DataGovs can provide valuable insights into specification-related trends, performance, and potential areas for improvement. 
  • Integration with PLM and ERP Systems: In many industries, specification data is closely tied to Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems we offer integrations for each of these systems on a per-user basis. 

DataGovs is already streamlining the process of specification management, promoting collaboration, consistency, and compliance across industries. By providing a single source of truth for specifications, it enhances efficiency, reduces errors, and ultimately contributes to the delivery of high-quality products and services.

DataGovs Compliance App

How DataGovs App Helps EHS Compliance

Environment, Health, and Safety (EHS) compliance is big across industries. At DataGovs, our compliance mobile app helps the team leverage our infrastructure to stay in compliance with EHS use cases at scale. We strive to give the best customer support and deliver apps that make it easy to onboard your teams at scale. Here is how.

What is Environment, Health, and Safety (EHS)?

Broadly it means taking regulations, policies, and practices together to ensure a safer work environment. The regulations vary across organizations with the government giving specific guidelines and standards to ensure compliance. 
  • Environmental: Environmental considerations focus on managing and minimizing the impact of human activities on the natural surroundings. This includes addressing issues like pollution control, waste management, resource conservation, and sustainability.
  • Health: Health aspects of EHS are concerned with safeguarding the well-being of individuals. This involves identifying and managing potential health hazards in the environment, such as exposure to hazardous substances, air and water quality, noise pollution, ergonomic concerns, and occupational health risks.
  • Safety: Safety measures encompass preventing accidents, injuries, and other harmful incidents. This includes maintaining a safe working environment, implementing safety protocols, providing appropriate protective equipment, conducting risk assessments, and promoting safety awareness and training.

The Problem with EHS in the Digital Age

Organizational teams practicing EHS in the digital world face challenges in manual processes involving papers, spreadsheets, emails, and legacy systems. The increase in data created across teams also makes it harder to manage and analyze data. 
  • Data Management 
  • Tech Adoption
  • Compliance Changes
  • Remote Work 
  • Training and Upskilling

The Opportunity in EHS in the AI Age

In the AI age, everyone is looking at how AI will replace workers but for EHS teams it can make them more effective in their work. Specifically in saving time and money, and analyzing data to get to decisions faster across departments. What are some of these opportunities?
  • Risk Assessment: AI can analyze historical data, identify patterns, and help EHS teams assess risks more accurately. Mobile apps can be used to collect real-time data on-site, enabling EHS teams to make informed decisions and mitigate risks promptly.
  • Incident Reporting and Investigation: Mobile apps can streamline incident reporting processes by providing a user-friendly interface for capturing incident details, attaching photos or videos, and documenting witness statements. AI can aid in incident investigation by analyzing data to identify root causes, contributing factors, and trends.
  • Safety Training and Education: Mobile apps can deliver interactive safety training modules, making learning accessible anytime, anywhere. AI-powered chatbots can provide personalized guidance, answer questions, and reinforce learning. 
  • Compliance Monitoring: AI can assist EHS teams in monitoring compliance with regulatory requirements by analyzing large volumes of data from various sources, such as sensors, IoT devices, and documentation. 
  • Emergency Response and Communication: Mobile apps equipped with AI capabilities can be valuable during emergency situations. AI algorithms can analyze incoming data during emergencies, such as incident reports or sensor data, and provide real-time recommendations for immediate response actions.
  • Data Analysis and Predictive Analytics: AI can analyze large volumes of EHS-related data, such as incident reports, inspection data, and environmental monitoring data, to identify trends and patterns.
  • Auditing and Inspections: Mobile apps can digitize the auditing and inspection processes, enabling EHS teams to conduct assessments efficiently and consistently. AI can assist in automating routine checks, identifying non-compliance issues, and prioritizing corrective actions. AI algorithms can also analyze inspection data to identify areas of improvement and recommend best practices.

The Return on Investment (ROI)

The specific ROI will depend on the size of the organizations, the industry, and the complexity of the implementation. At DataGovs, we generally see benefits in the level of automation accomplished that reduces overhead, closes issues, and saves analyst time on tasks. 
  • Reduced Incident Costs: By using AI to identify patterns and analyze incident data, EHS teams can implement proactive measures to prevent accidents and reduce incidents.
  • Improved Compliance: AI-powered monitoring of compliance with environmental, health, and safety regulations can help identify areas of non-compliance in real time.
  • Enhanced Efficiency: Mobile apps and AI-driven automation streamline processes such as incident reporting, inspections, and data analysis, reducing manual effort and associated administrative costs.
  • Enhanced Risk Mitigation: AI algorithms can analyze historical and real-time data to identify potential hazards, assess risks, and recommend preventive measures. 
  • Improved Training Effectiveness: Mobile apps and AI-powered training platforms provide interactive and personalized safety training. 

How DataGovs Compliance App Helps

As more teams recognize the value of various artificial intelligence tools, integrating them into their processes will become a challenge. Every AI tool is different and DataGovs makes implementing any model across various data systems easier, regardless of specific formats. 
This helps analyze data faster for compliance-related sources like regulatory databases, environment monitoring systems, incident reports, and safety documentation.
Here’s how the use of agnostic AI models can help EHS teams through a compliance app:

  • Data Integration: Avoid vendor lock-in with seamlessly integrating data from diverse sources, including structured databases, unstructured documents, and real-time sensors.
  • Standardization: Agnostic AI models can process and standardize data formats, regardless of their origin or structure. 
  • Automated Data Analysis:y leveraging machine learning techniques, these models can learn from historical data, detect non-compliance issues, and provide insights to EHS teams regarding potential risks or areas for improvement.
  • Real-time Monitoring: With agnostic AI models, the compliance app can provide real-time monitoring of compliance-related activities. 
  • Predictive Analytics: Agnostic AI models can leverage historical compliance data and perform predictive analytics to forecast potential compliance issues. 

Introducing DataGovs Compliance API

Today we are renaming our core API to meet a need that we find both developers and team face, compliance. Guardrails are important to powerful technology like artificial intelligence and DataGovs Compliance API acts as a guardrail to help developers build apps without having to keep up with compliance in their industry. 
Compliance is a broad term. So let’s unpack a little on the type of compliance we service which we consider to be regulatory compliance for industries. DataGovs help developers and data teams integrate a unified API that can serve against any automation model to monitor that apps meet compliance in real time. 

What’s a Compliance API?

A compliance API, also known as a regulatory compliance API, is an application programming interface that allows software systems to interact with compliance and regulatory frameworks. It provides developers with a set of tools, functions, and data to automate compliance-related tasks and integrate compliance functionalities into their applications.

  • Regulatory Compliance: Businesses and organizations are subject to various regulations and standards imposed by governmental bodies and industry-specific authorities. Compliance APIs enable them to ensure adherence to these regulations by automating compliance processes and integrating them into their existing systems.
  • Efficiency and Accuracy: Manual compliance processes can be time-consuming, error-prone, and resource-intensive. Compliance APIs streamline compliance activities by automating tasks such as data verification, risk assessments, reporting, and auditing. This improves efficiency, reduces human errors, and enhances accuracy.
  • Integration and Interoperability: Many businesses use multiple software systems and applications across different departments or functions. Compliance APIs facilitate seamless integration between these systems, allowing data sharing, real-time monitoring, and centralized control over compliance processes. This ensures consistency and avoids data silos.
  • Real-Time Monitoring and Alerts: Compliance APIs often provide monitoring capabilities, allowing organizations to track compliance-related events, activities, and changes in regulations. They can set up alerts and notifications for potential compliance violations, enabling proactive action and risk mitigation.
  • Scalability and Adaptability: Compliance requirements can evolve as new regulations are introduced or existing ones are modified. Compliance APIs provide flexibility and scalability, allowing organizations to easily adapt their systems and processes to comply with changing regulatory landscapes without significant disruptions.
  • Audit Trail and Reporting: Compliance APIs often offer features to generate comprehensive audit trails and reports, which can be crucial during regulatory audits or investigations. These APIs enable organizations to maintain detailed records of compliance activities, actions taken, and evidence of adherence to regulations.

Who has Compliance APIs?

Regulatory company compliance APIs are specific to a particular company and its compliance requirements. The above examples showcase this, DataGovs offers a unified compliance API.  Compliance APIs simplify and automate the compliance management process, ensuring that organizations can meet their regulatory obligations efficiently, accurately, and at scale. Most platforms offer compliance that meets their tools and service requirements. 

  • For example, Open AI’s moderation endpoints help flag inputs and outputs to reduce harmful content generation on their platform. Twilio does the same to help end-users and Microsoft also has a similar for it’s type of content generation.

The Difference of DataGovs Compliance API 

DataGovs Compliance API leverages artificial intelligence against any model starting with large language learning models (LLMs) and image classification to check for compliance under a unified compliance API. A uniformed compliance API offers a standardized set of methods and endpoints that developers can use to interact with multiple compliance frameworks without needing to learn the specifics. 

We do this for industries where frameworks are not universal and in boring industries where it’s often trapped in specifications, paper-based processes, emails, and spreadsheets. This unlocks opportunities because AI adds a new flavor of automation that checks against operations whether manual or automated to assess if it meets industry compliance.

  • Unified compliance APIs: These APIs are designed to streamline compliance processes by consolidating data and functionalities from various regulatory sources into a single interface. 

  • Company compliance APIs: are specific to a particular company and its compliance requirements. These APIs are developed and implemented by the company itself to address its unique compliance needs. Regulatory company compliance APIs typically integrate with internal systems and processes to automate compliance-related tasks.


What are some examples of DataGovs Compliance API in the real world and for developer teams that want to focus on building compliance? 

 Examples of this can be seen in customers’ use of DataGovs.

  • Electric Vehicle Manufacturing – Use DataGovs to make sure data across assets comply across states without having to keep up and develop internally. This saves time, increases ROI, and decreases dependence on outsourced analysis.
    • Use Cases
      • Fleet Monitoring for Time and Text – Tracking fleets of vehicles is a standard in all industries, but keeping up with fleets report in a specific standard for trucks or light electric vehicles requires a data specification. With DataGovs Compliance API, teams can now do this faster and cheaper without having to outsource analysts. 
      • Fleet Monitoring for Images – Photos are leveraged usually to monitor issues or complaints for most use cases. Using DataGovs API teams can verify and check for compliance within photos. 

  • Packaging Brands – Use DataGovs to integrate across operations ways to stay in compliance with packaging that meets specifications in industries like cannabis and/or pharmaceuticals.
    • Packaging Compliance – Brands in highly regulated spaces like Cannabis need to check state laws to make sure they are meeting criteria or face penalties. 
    • Packaging and Images – Packaging companies leverage photos to ensure packages meet criteria, now they can reduce issues or errors using DataGovs Compliance API to scan. 

DataGovs Compliance APIs is a unified approach to leveraging AI and regulatory public data sources to solve boring industry problems. The API adds guardrails so developers and teams can implement apps at scale while catching issues in the process using DataGovs. This helps businesses save time and overheard in outsourcing entry-level analysts’ tasks while ensuring apps meet compliance requirements at scale.

US Open Government Data Act

US Open Government Data
Law & History

The U.S. Open Government Data Act is a legislation that was passed to promote transparency, accountability, and accessibility of government data in the United States. It was signed into law on January 14, 2019, as part of the Foundations for Evidence-Based Policymaking Act.
The act requires federal agencies to make their data assets available to the public in a machine-readable format that is easily accessible and usable. It emphasizes the importance of data-driven decision-making and encourages the use of data for evidence-based policymaking, research, and innovation.
Key provisions of the U.S. Open Government Data Act include:
  • Open Data Standards: The act requires federal agencies to establish and maintain comprehensive data inventories, ensuring that data is accurate, up-to-date, and publicly accessible.
  • Data Catalogs: Agencies are mandated to create and maintain a publicly available catalog of their data assets. This catalog serves as a centralized resource where individuals and organizations can discover and access government data.
  • Chief Data Officers: The act establishes the role of Chief Data Officers (CDOs) within federal agencies. CDOs are responsible for overseeing data management, ensuring data quality, and promoting data sharing and transparency.
  • Privacy and Security: The act emphasizes the importance of safeguarding personal privacy and ensuring the security of sensitive government data. It requires agencies to implement measures to protect against unauthorized access or disclosure of data.
  • Collaboration and Engagement: The act encourages collaboration between agencies, academia, industry, and the public to foster innovation and maximize the value of government data. It promotes partnerships and initiatives to enhance data sharing and interoperability.
Overall, the U.S. Open Government Data Act aims to establish a culture of openness and data-driven decision-making within the federal government. By making government data more accessible and usable, it seeks to empower individuals, businesses, researchers, and policymakers to leverage data for the benefit of society, innovation and informed decision-making.

Timeline of Data.Gov

January 21, 2009

Presidential Memorandum on Transparency and Open Government.

May 21, 2009

GSA launches

December 8, 2009

Open Government Directive requiring agencies to post high-value datasets on

June 11, 2012

U.S. and India launch Open Government Platform (open source package for government open data sites)

May 9, 2013

Open Data Executive Order

May 9, 2013

Open Data Policy

2014 team begins working in the open on GitHub


Launch of Project Open Data on GitHub

December 10, 2016

Senate passes OPEN Government Data Act

December 21, 2018

OPEN Government Data Act, incorporated into Foundations for Evidence-Based Policymaking Act passes both Houses of Congress


January 14, 2019

OPEN Government Data Act signed into law ( required by statute)

July 2019

Launch of

October 2020

Improved launched (metadata management tool)

February 2021 catalog running updated CKAN

August 2022

Completion of migration of to infrastructure

March 30, 2023

Launch of redesigned home page



What is OCPP?

What is Open Charge Point Protocol (OCPP)

EV charge point communication with charge station management systems learning about OCPP

Electric Vehicles (EVs) are all over the world and with the adoption of these modes of transportation comes a deeper need for better infrastructure. For drivers, the vehicles, and the countries they operate in charge stations are installed.

The glue to communication between all these systems is software and that is where Open Charge Point Protocol (OCPP) comes into play it is the universal language for streamlining the charging experience. 


OCPP Overview

It is an open-source language for network management and charge stations to communicate that was written and published by the Open Charge Alliance (OCA), based in the Netherlands, to promote open standards for EV charging networks globally.

  • Summary. OCPP’s role is to make any EV charging station work in a compatible way with any charger management software.
  • Compliance. Charge points rely on OCPP compliance to enable charging sessions, manage remote diagnostics, and ensure a secure exchange of data.
  • Version. The latest OCPP version is OCPP 2.0.1, which delivers some improvements over OCPP 1.6. The OCPP 1.6 version, as an application protocol, has also been improved to meet current industry standards and is therefore still in use as people slowly adopt OCPP 2.0.1.

OCPP Users

There are 3 different types of roles in the EV charging industry that need to work together to create the best end-user charging experience. Organizations choose to do one, two, or all of the following roles to own a deeper reach in the charging infrastructure. 

  1. Hardware. For electric vehicle supply equipment (EVSE) manufacturing the hardware for the EV chargers themselves is a key area.
  2. Software. The providers of charging station management systems often called CSM are another. 
  3. Operators. The people that operate the charge points typically own the relationship with customers that drivers see. 

OCPP Use Cases 

  • Software. Charge Station Owners and the networks charge drivers for electricity and manage the electrical load. This means they need to control this through an interface usually through software on the cloud. Software providers handle this.
  • Compliance. The language to make sure the systems speak in one standard way is operated by the hardware manufacturer as well as the software provider. 

OCPP in the Real World

A typical sequence of events for electric vehicle drivers when they need to charge their car looks like this:

  1. The driver makes a reservation request for a particular charger prior to arriving at the charging station, typically through a mobile app or through messaging.
  2. On the backend, this charger is put on hold for the driver.
  3. As the driver arrives, they identify themselves and the charger authorizes them.
  4. The charger physically unlocks the connector that the driver plugs into their car.
  5. The charger starts the charging session.
  6. The driver enters a nearby store for a cup of coffee and eventually receives a notification that the charging session has ended.
  7. The driver sets the connector back into the socket and the charger locks the socket.
  8. The charger triggers a billing event with the driver according to their usage and the CPO’s pricing.

Each of the steps mentioned above utilizes a command/response that is exchanged between the charging station and the CSMS via the OCPP open protocol.

OCPP Conclusion

Thanks to OCPP, there is compatibility across different vendors, systems, and service providers, which in turn allows for more choice in both hardware and software for the consumer. Whether that’s an EV driver buying home chargers, a real estate company installing EV charging stations at apartment or office buildings, or other buyers of EV charge points, OCPP enables a smooth charging experience.

  • Accessing OCPP-Compliant Chargers Over the Internet. 

    • For EVSE manufacturers, CSMS providers, and CPOs to be able to function on their own and with each other, they need reliable connectivity in all the places they operate or want to expand into.