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Engineering and architecture

Illustrative workflow data package: an engineering firm's project records

By SourceX Editorial · Updated

Short answer

A workflow data package for an engineering firm is a documented set of linked project records, such as proposals, schedules, RFIs, submittals, QA/QC comments and change records, joined by project number so each request connects to its decision and outcome. The example here is illustrative: one fictional firm, its manifest, its carve-outs and its documentation.

Key takeaways

  • A package is defined by linkage: every record should join to a project, a phase and an outcome.
  • The manifest names each record family, its source system, the fields kept and the fields removed or masked.
  • Client-provided drawings, stamps and security-sensitive projects are carved out before scoping, not after.
  • Documentation such as the SourceX Evidence Packet travels with the package so a buyer can see provenance and permitted use.

What makes project records a workflow data package?#

Project records become a workflow data package when they are scoped, linked and documented to show how real work moved from request to decision to outcome, ready for licensing to an AI developer. For an engineering firm, that usually means the project delivery records around the drawings rather than the drawings alone.

Everything below is illustrative. The firm, its system choices and its scope decisions are fictional and exist to show the structure of a package, not a typical size or value. Real packages are scoped with each firm and against a specific buyer request.

The difference from a document dump is intent. A package is scoped around a workflow an AI developer wants to study, such as how design questions are raised and answered during construction, and every record in it earns its place by showing a step in that workflow.

Illustrative: the firm and its scope rules#

Illustrative: a fictional civil and MEP engineering firm of about 180 people runs Deltek Vantagepoint for projects, time and billing, Procore for construction administration on design-build work, Bluebeam for internal QA reviews and SharePoint for proposals and correspondence. Project numbers are consistent across all four systems, which turns out to be the firm's biggest asset.

The managing principal sets three scope rules before any export: completed projects only, only records the firm authored or controls, and no projects for clients whose agreements restrict use of project information. Public-agency work involving security-sensitive facilities is excluded in full, whatever its contract says.

Two further decisions shape the scope. The firm keeps only English-language records, which covers almost all of its archive, and it starts the package at its last ERP migration, because earlier projects lost their phase codes in the conversion and can no longer be traced phase by phase.

The illustrative manifest#

The manifest is the core of the package. It lists each record family with its source and treatment, so the firm, its counsel and the buyer all review the same document.

Notice what the manifest leaves out as much as what it includes. Fee amounts, rates and identities go; the sequence of work, the reasoning and the outcomes stay.

The illustrative manifest
Record familySource systemFields keptRemoved or masked
Proposals and fee lettersSharePointScope narrative, services, phase structure, win or lossClient names, contacts, fee amounts
Project schedulesVantagepoint and scheduling filesPhases, milestones, planned versus actual datesClient and site identifiers
Time by phaseVantagepointHours by phase, activity and roleEmployee names, rates, salaries
RFIsProcoreQuestion, response, discipline, dates, linked sheetContractor and owner names, site address
SubmittalsProcoreSpec section, review action, comments, resubmittal historyProduct pricing and contact details
QA/QC review commentsBluebeam summariesComment, discipline, status, reply, revision referenceReviewer names, replaced by role codes
Change recordsVantagepoint and correspondenceReason, scope impact, approval outcomeFee values and client names
Meeting minutesSharePointDecisions and action itemsAttendee names and personal remarks

Records link into workflows through shared keys: project number, phase code, sheet number, specification section and date. Without those keys a package is a pile of documents; with them, a buyer can follow a single issue from question to resolution.

Illustrative trace: RFI 0142 on fictional project P-2031 asks whether a sprinkler main can pass through a steel beam shown on sheet S-201. The response reroutes the main below the beam, revision 3 of sheet M-201 shows the change, the RFI closes, and construction-phase timesheets record the hours spent. Every step joins on project number, RFI number or sheet number, so a buyer can follow it without a person explaining it.

A useful test is to pick records at random and try to trace each one to its outcome. Where the chain breaks often, the firm either repairs the linkage or narrows the package to the families that hold together.

  • RFI to response to revised sheet to closed status, joined by RFI number and sheet number.
  • QA comment to designer reply to revision cloud, joined by sheet and review date.
  • Change request to scope narrative to approved additional services, joined by project and phase.
  • Proposal scope to planned phases to actual hours by phase, joined by project number.
  • Submittal to review action to resubmittal, joined by specification section.

What the firm removed or carved out#

Carve-outs and masking decisions are recorded line by line, so the firm can later show exactly what left and what did not. The rule of thumb is that anything identifying a client, a site or a person is either replaced with a stable code or removed, and anything owned by someone else is excluded.

What the firm removed or carved out
ItemTreatmentReason
Client and owner namesReplaced with consistent codesConfidentiality and identification risk
Staff namesReplaced with role and a stable pseudonymPersonal information; patterns by role remain
Site addresses and parcel detailsGeneralized to region and project typePrevents tracing a record to a facility
Professional stamps and sealsRemovedPersonal and professional identifiers
Client-provided backgroundsExcludedOwned by others
Fee amounts and ratesRemovedCommercially sensitive
Projects with restrictive clausesExcluded in fullContract terms limit use

The documentation that travels with the package#

The documentation that travels with a package tells a buyer what the records are, where they came from and what they may be used for. Without it, even well-prepared records are hard for a buyer's legal and data teams to accept.

Public frameworks can shape this documentation. One example is the Data Provenance Standards from the Data & Trust Alliance, whose specification sorts dataset metadata into Source, Provenance and Use; another is the Datasheets for Datasets paper (Communications of the ACM, December 2021), which poses questions that a dataset's creators should answer. Neither is mandatory, but both give buyers a familiar structure.

  • A dataset summary: record families, date coverage, counts by family and known gaps.
  • A field dictionary: each field kept, its meaning and its source system.
  • A preparation log: what was removed or masked, by which method, and how it was checked.
  • Rights notes: the contract basis for each included project family and the carve-outs.
  • A release authorization: who approved the final manifest for the firm, and when.

How SourceX would run this package#

Under the SourceX five-step transaction, this package would move in order. Supply confirms the record families and systems from metadata; Rights reviews the contracts behind each project family; Preparation removes personal and confidential details; Approval puts the final manifest in front of the firm's signer; Delivery moves the records from the firm's own storage or on an encrypted drive.

The SourceX Evidence Packet then records provenance, licensing rights, permitted use, the privacy record and release authorization for the package. The firm grants a license rather than transferring ownership, and it can drop any project or record family at the approval step.

Frequently asked questions

Does a package need every record family in this manifest?

No. A package can be built around one strong family, such as RFIs with responses, if those records link to outcomes. Adding families helps only when they share keys with the core records; unlinked additions mostly add preparation effort without adding value.

Can a consulting firm use the same template?

Yes, with different record families. A consulting firm's package might hold proposals, engagement plans, workstream status reports, review comments on deliverables and change requests, joined by engagement code. Client confidentiality is usually stricter in consulting, so carve-outs tend to be broader.

Are drawings and models included?

Sometimes, but rarely by default. Drawings carry the most ownership and confidentiality questions, so many engineering packages center on the written records around them and include drawing images only for sheets the firm authored on unrestricted projects.

Who approves the final manifest?

The firm's authorized signer, usually a managing principal or the CEO, after counsel's rights review and a check of the preparation log. Approving the manifest is a separate step from signing the license, so the firm sees exactly what will be delivered before committing.

How far back should the records go?

As far as the records stay complete and linked. Accessible history that still connects requests to outcomes matters more than company age, and older projects reviewed on paper or migrated without their links are often left out.

What does the buyer actually receive?

Records from the agreed families in the formats set in the license, usually structured exports such as spreadsheets or JSON plus document text, together with the dataset summary, field dictionary and preparation log. Very large archives are handed over from the firm's own storage or shipped on encrypted drives, since SourceX does not host multi-terabyte datasets.

Sources

  • The Data & Trust Alliance's Data Provenance Standards (version 1.0.0) define dataset metadata in three groups: Source, Provenance and Use. Source
  • Datasheets for Datasets by Gebru et al. was published in Communications of the ACM, vol. 64, no. 12 (December 2021). Source

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