AI/ML & SUFs

While participation is limited to their own community, some of the 
issues addressed in DOE's RFP regarding DATA, ARTIFICIAL INTELLIGENCE, 
AND MACHINE LEARNING AT DOE SCIENTIFIC USER FACILITIES (SUFs) may be of 
interest to others as well.  The goals and objectives it sets forth are 
available in StratML format at 
https://stratml.us/drybridge/index.htm#DAIML See, for example:

    Goal 1: Strategic Information
    <https://stratml.us/carmel/iso/DAIMLwStyle.xml#_87565002-647f-11ea-96f6-64420183ea00>
    - Efficiently extract critical and strategic information from large
    complex data sets.

Presumably, "strategic information" is that which is critical to support 
the organization's strategic objectives and, thus, should be 
strategically aligned with and linked to (and discoverable via) those 
objectives, e.g., via the stratml:Relationship 
<https://stratml.us/references/oxygen/PerformancePlanOrReport20160216_xsd.htm#Relationship> 
elements.

    Objective 2.3: Performance & Productivity
    <https://stratml.us/carmel/iso/DAIMLwStyle.xml#_87565836-647f-11ea-96f6-64420183ea00>
    - Improve facility performance and maximize productivity.

Improvement of performance depends upon the capabilities to "detect," 
measure, and report it to stakeholders who are capable of acting on it. 
Such capability can be greatly facilitated by making performance plans 
and reports available in an open, standard, machine-readable format, 
like StratML.

    Objective 3.2: Capabilities & Strategies
    <https://stratml.us/carmel/iso/DAIMLwStyle.xml#_87565b92-647f-11ea-96f6-64420183ea00>
    - Enable the design of new facility capabilities and execution of
    optimal experimental strategies.

Strategies supported by public funding should be published on the Web in 
an open, standard, machine-readable format, like StratML. Optimization 
depends upon it.

    Objective 4.3: Standards, Formats & Priorities
    <https://stratml.us/carmel/iso/DAIMLwStyle.xml#_875660e2-647f-11ea-96f6-64420183ea00>
    - Catalyze development of data standards, formats, and priorities.

StratML is a standard format for strategic and performance plans and 
reports.  Priorities should be documented in such plans.

    Objective 7.3: Data & Metadata
    <https://stratml.us/carmel/iso/DAIMLwStyle.xml#_875674d8-647f-11ea-96f6-64420183ea00>
    - Address challenges, advances, and applications of data and
    metadata management.

eXtensible Markup Language (XML) vocabularies and schemas (XSDs) bridge 
the gap between documents, data, and metadata. 
https://en.wikipedia.org/wiki/Machine-readable_document

It would be good if the taxpayer-funded SUFs were to comply with the 
explicit guidance set forth in section 10 
<https://www.linkedin.com/pulse/open-machine-readable-government-owen-ambur/> 
of the GPRA Modernization Act (GPRAMA) and, more broadly, the OPEN 
Government Data Act (OGDA 
<https://www.linkedin.com/pulse/open-gov-data-act-machine-readable-records-owen-ambur/>). 
Failure to do so would be a prime example of Artificial Ignorance 
<https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/> (A<I>).

Owen