Technical Documentation in Aviation

S1000D is changing how technical documents are produced and written, reducing their complexity and creating a standardised approach

Trevor Horn, the British record producer and musician (remember The Buggles and their 1979 hit single, Video Killed the Radio Star?), once lamented, “I hate having to read the manual.”

In aviation, manuals and technical documentation are the lynchpin of safety, regulatory compliance, and improved integrated logistics support (ILS) — and an essential read.

They provide tailored instructions for pilots and flight crew, general dimensions of the aircraft for aircraft maintenance technicians and engineers, and the necessary information for ramp-servicing operations and maintenance preparations.

Aviation has been producing and keeping detailed aircraft technical data for the best part of a century. It is a living collection of records, with ever-increasing volumes of documentation — both paper and increasingly, digital.

While the abundance of such technical data improves the understanding of maintenance and operational needs, just following the written procedures can be a complex and taxing process, and one not without its difficulties. For example, as far back as 2012, a Federal Aviation Authority (FAA) authored document, Technical Documentation Challenges in Aviation Maintenance: A Proceedings Report acknowledged issues associated with technical documentation were known to cause errors, additional repair work or rework, maintenance delays, and other safety hazards.

As a historical snapshot, an oft-reported 2012 analysis of the FAA enforcement database showed that more than 850 actions were taken against mechanics regarding 14 Code of Federal Regulations (CFR) Part 43 Section 43.13(a), a rule covering the acceptable methods, techniques, and practices for aircraft inspection and repair. Over one-third (36%) of the violations were associated with not using proper technical documentation. (S. Hodges-Austin, personal communication, April 4, 2012).

Elsewhere, a 2012 analysis of 14,267 NASA Aviation Safety Reporting System (ASRS) maintenance reports from 2001- 2011 showed that nearly 64% (about 9,000) of safety incidents were related to technical documentation or procedural challenges, or both. (J. Moya, personal communication, March 29, 2012).

An introduction to S1000D
The complex nature of technical documentation has led to the curation of a shared response to such issues. One collective effort is S1000D, an international specification for technical publications using a common source database (CSDB) for the preparation and publication of technical documentation, particularly for the aerospace and defence industries.

According to Melissa Lyn Pennline, Director of Global Strategy at JANA, Inc. — a Texas-based provider of technical documentation and engineering services — S1000D can be viewed both as a necessity and a strategic approach to managing technical documentation.

Pennline says that the main issues with classical technical documents often revolve around managing legacy data and the inefficiencies that come with outdated authoring methods. “Legacy data in traditional manuals can be valid for up to 50 years but managing it alongside modern S1000D systems creates complexity and redundancy. S1000D provides a structured, modular approach that enables content reuse, saves time and resources, ensures consistency, and facilitates collaboration across teams and departments.”

“S1000D overcomes these issues by providing a structured and modular approach to technical documentation. It enables content reuse, saving time and resources while ensuring consistency and accuracy. The standardised format also facilitates better collaboration and data interoperability among different teams and departments, making it easier to integrate and share information.”

The S1000D specification was introduced by the Aerospace, Security and Defence Industries Association of Europe (ASD), using the ATA 100 as its core source document. S1000D is jointly developed and maintained by ASD, the Aerospace Industries Association of America (AIA), and the ATA e-Business Program.

The standard seeks to maximise the management and reuse of data by specifying a “data-module” concept for structuring technical information. A data module is a standalone information unit that contains descriptive, procedural, or operational data for a specific platform, system, or component. These modules are created using Standard Generalised Markup Language (SGML, up to S1000D Issue 3.0), or Extensible Markup Language (XML) according to specific Document Type Definitions (DTDs) or schemas provided with the specification. The modules can be stored, retrieved and managed in a CSDB by using the data module code as the identifier.

Each data module comprises

two parts:

• The “identification and status” section, which provides information for managing the data module within the CSDB, its accessibility, and the quality assurance process, as well as controlling the retrieval processes.

• The “contents” section, which provides the user with the actual information required to conduct the task or describe the system.

The Civil Aviation Working Group (CAWG) is the S1000D representative body for the worldwide civil aviation industry. It is overseen by the ATA e-Business Program and was formed to manage the civil aviation industry’s integration into the S1000D development process. CAWG members participate in all of the relevant S1000D working groups and task teams and they work jointly with the ASD and AIA to shape future revisions of S1000D.

During the 2024 edition of the Farnborough Airshow, the three sponsoring organisations of S1000D signed a memorandum of understanding (MoU) with the Society of Japanese Aerospace Companies (SJAC) to advance the harmonisation of efforts to maintain and enhance the S1000D standard. This agreement enables Japanese stakeholders and companies to join the S1000D community, reinforcing global collaboration in this sector.

Benefits and Hurdles to S1000D adoption
According to the S1000D Council and Steering Committee, the use of S1000D has multiple benefits that fit into four principal areas: data benefits, authoring benefits, training benefits and lifecycle benefits.

“While it ensures consistency and accuracy, the real value of S1000D is in its strategic benefits,” Pennline says about the standard. “It reduces duplication, minimises errors, and ensures that updates are made in a single place, ultimately helping organizations maintain high-quality documentation and customer satisfaction.”

The realisation of these depends on several factors such as implementation strategy, infrastructure, and more. For Pennline, the biggest hurdles to adopting S1000D are cost and the misconception that all legacy data needs to be converted to fit the new system. She says these issues can significantly delay or deter the transition, even though S1000D offers substantial long-term benefits in terms of efficiency and data management.

To support the transition and seamless management of legacy data alongside S1000D, partners like JANA can be invaluable. JANA helps in managing and integrating legacy data without the high cost of converting it just to fit into the new system, ensuring a smooth and efficient transition. This partnership not only streamlines the process but also enhances data integrity and reduces the risk of errors, making it easier for teams to maintain and update documentation across different platforms.

There is also another challenge. As Pennline explains, whilst the need for S1000D is indeed well-known, the methods for implementing it are often less clear. She says that the next generation should be able to utilise engineering data more effectively than the previous one.

“With the rise of AI tools, such as with our partner AIXI, and the decreasing cost of S1000D solutions making them more competitive, the main hurdle is actually misinformed upper management. They are often unfamiliar with the intricacies of Technical Publications teams and don’t understand why using Microsoft Word is more costly than beneficial, despite it being bundled with Office 365.”

AIXI’s role in S1000D implementation
AIXI is a start-up that creates AI-enabled solutions that improve reliability and asset uptime for the aviation industry. The question of whether it’s true that “the need for S1000D is well-known, but how to implement it is not”, is one that animates AIXI’s CEO and founder, Cameron Byrd — a speaker at this year’s ATA e-Business Forum in Montreal, Canada.

“I have a lot to say on this,” he says in conversation with Aerospace Innovations. “First, airlines do know that their data is valuable, and they hold on to that data with an iron grip. But they don’t know how to extract the value.”

Byrd likens the situation to owning a diamond mine: “You’ve got diamonds in the ground buried beneath you, but you have no way to dig them out. That makes them essentially worthless. So, until you digitise all your data and you get an AI system like ours, your data is just collecting dust and is a waste.”

Byrd is referencing AIXI’s proprietary AI agents, ATA AutoCoder and Ask OTTO.

Supported by AIXI’s industry-specific language model (ILM) and proprietary neural network, the ATA AutoCoder assigns five codes — two ATA-based, and three English-based — to every maintenance log in real time and with a claimed 95% accuracy. It codes all historic records to create an accurate, consistent data foundation.

“We come in on day one and we’ll code all your historic data,” explains Byrd. “Now all of your data is correct. It’s coded — it’s got all these extra codes, like objects and failure modes. It’s consistent, so even if we get it wrong, we get it the same wrong.” He says that having such visibility means it’s easier to identify and fix errant code.

“Now that we have all this data, it is opened up a world that no one else has had access to as of now.” One client that is enjoying this access is Southwest Airlines, which has been using AutoCoder since 2022. Barry Lott, Southwest’s Director of Aircraft Records and Maintenance, at wrote on LinkedIn, “As a user of the AutoCoder tool, I can attest to the benefit it has provided us to put structure to our data which has resulted in much quicker analysis and identification of trends.”

When it comes to so-called text chaos, AutoCoder can cut through the often unstructured, unsearchable and unusable nature of maintenance logs, which can have multiple unique ways of saying the same thing.

Paul Simon may believe that there are “50 ways to leave your lover”, but Byrds team found that mechanics and technicians were using 1,000 different ways to describe “Flap Fairing Worn” and 45 different spellings of “Oxygen Light”. Unless you have a list of all of the different spellings, you’ll never capture all the data, Byrd says.

As he explained in his presentation to the recent ATA e-Business Forum, instead of thousands of different phrasings for a flap fairing issue, they’re now all normalised to “ATA 5753 (Flap Track Fairings”). This structured coding enables statistical analysis across fleets, supports AI/ML pipelines, and makes benchmarking possible.

AIXI’s other relevant agent is Ask OTTO, an AI-enabled chatbot, that provides instant insight into an airline’s fleet to improve overall maintenance dispatch reliability. As Byrd noted at the time of its debut, earlier this year,“Even going through the maintenance manual for the steps to clean up a chemical spill can be complicated. When you Ask OTTO, it pulls manual references in a matter of seconds alongside direct links right into the section a technician needs.”

Ask OTTO can ingest any data source that an airline wants to connect. This includes back-to-birth maintenance records that empower a reliability leader to quickly address fleet-health questions.

Bryd believes airlines are cautious about using AI to interrogate data because “they’re sitting on bad experiences.” He says there is a general attitude of “I’m going to do it the way that’s always worked,” even if it’s 50 years old.

“Mechanics fix planes the same way they’ve done since the beginning. They look in a maintenance manual. At first, it was the hand one, then it was microfiche, then it was digitised, but it’s still just looking into a maintenance manual and following the procedure. That prescriptive maintenance tool that we have — that represents the next generation of ways to help fix and troubleshoot an aircraft and that needs to be implemented,” he proclaims.

Pennline is of the same mind. “During tough economic times, management often focuses on immediate costs rather than viewing S1000D implementation as a long-term investment,” she says. “This is short-sighted, because the savings from efficient data management can amount to millions of dollars over the years. Just as using a computer was once considered a fad but is now a necessity, adopting S1000D as part of the overall S-Series can be considered a critical step towards modernising your engineering landscape.”

JANA’s role in S1000D implementation
Effective implementation is key, and for companies looking to start implementing S1000D, the first step is to engage with experts who can guide you through the process.

For example, the team at JANA specialises in managing, authoring, and delivering structured data following standards like S1000D and DITA. “We offer a variety of consulting packages designed to help you understand standards, assess your current data management systems, and develop a tailored implementation plan. This includes training for your team, selecting the right tools, and setting up the necessary infrastructure for a smooth transition,” Pennline says.

For companies already on the path, the focus should be on continuous improvement and optimisation. “We provide advanced support to refine processes, enhance data quality, and integrate AI for predictive maintenance. This not only improves the accuracy and reliability of your technical publications but also drives efficiency and cost savings. By leveraging AI, we have the ability to connect to other standards within the S-Series, like S2000L (Logistics Support Analysis) and S3000M (Maintenance Data), creating a more cohesive and interoperable data management system that enhances the value and utility of your structured data approach.”

In both cases, she says, it’s important to communicate the long-term benefits to upper management. “While initial costs may seem high, the savings from efficient data management can be substantial. By demonstrating the ROI and strategic advantages, we can help secure support and resources for successful implementation and ongoing improvement.”

Conclusion
Thirty-six years of knowledge, expertise, and effort have gone into the S1000D specification since it was first released in 1989. The S1000D Council is currently progressing the roadmap from Issue 6 to Issue 7, which is due for completion sometime in 2026. The Council is focused upon the continued oversight of S1000D development, S1000D modularisation, continuity planning and raising S1000D awareness and implementation. With partners such as JANA and AIXI, companies can approach the implementation process with greater confidence and achieve successful outcomes, accelerating delivery without compromising quality.