The human capital supply chain is a complex network of systems with inherent challenges to accommodating Total Learning Architecture (TLA) operability. This document covers the objective end-state for Department of Defense (DoD) learning organizations migrating to TLA compliant data and microservices. This document is organized into sections that…

Since 2016, the Advanced Distributed Learning (ADL) Initiative has been developing the Total Learning Architecture (TLA), a 4-pillar data strategy for managing lifelong learning. Each pillar describes a type of learning-related data that needs to be captured, managed, and shared across an organization. Each data pillar is built on a set of…

The Total Learning Architecture (TLA) program sponsored by the Advanced Distributed Learning (ADL) Initiative seeks to develop a set of policy and standards defining the process for developing a "learning ecology," where multiple services and learning opportunities (of various modalities and points of delivery) can be managed in an…

The technology of the 21st century has had no shortage of challenges for libraries, but it has also brought opportunities. Operating systems, databases, and application environments that can use cheap off-the-shelf hardware to scale and handle hundreds of millions of transactions were not developed for libraries. However, libraries have taken…

The success of communities generally implies both growth of the participants (and thus of their contributions), and an increasing array of services offered. For this reason, it is often difficult for new users to fully understand the potential of the community, while for expert users it becomes difficult both to manage the resources available in…

An interoperability gap exists between Learning Management Systems (LMSs) and Learning Object Repositories (LORs). Learning Objects (LOs) and the associated Learning Object Metadata (LOM) that is stored within LORs adhere to a variety of LOM standards. A common LOM standard found in LORs is the Sharable Content Object Reference Model (SCORM)…

Personalized adaptive learning requires semantic-based and context-aware systems to manage the Web knowledge efficiently as well as to achieve semantic interoperability between heterogeneous information resources and services. The technological and conceptual differences can be bridged either by means of standards or via approaches based on the…

One of the "hottest" topics in recent information systems and computer science is metadata. Learning Object Metadata (LOM) appears to be a very powerful mechanism for representing metadata, because of the great variety of LOM Objects. This is on of the reasons why the LOM standard is repeatedly cited in projects in the field of eLearning…

This paper explores general issues surrounding the Educational Resources Information Center (ERIC) database--its content, operations, and possible "futures." It addresses specific questions regarding restrictions on content and, in particular, the exclusion from the database of a range of non-print media; and the exclusion of the…

The Dublin Core (DC) metadata standard is emerging as one of the leading initiatives in digitization programs; as libraries, museums, archives and others begin to digitize their physical materials it will be imperative that internationally recognized standards be used. Key elements behind the development of DC, and the 15 fields of DC are…

This series of articles reviews the management of global change data and the role of librarians and information professionals. Topics include the Global Change Data and Information System (GCDIS) thesaurus project, ConQuest Software, the Assisted Search for Knowledge (ASK) project, metadata, standards, and Directory Interchange Format and USMARC.…