Supporting Usability and Reusability Based on eLearning Standards

The IMS-QTI, and other related specifications have been developed to support the creation of reusable and pedagogically neutral assessment scenarios and content, as stated by the IMS Global Learning Consortium. In this paper we discuss how current specifications both constrain the design of assessment scenarios, and limit content reusability. We also suggest some solutions to overcome these limitations. The paper is based on our experience developing and testing an IMS QTI Lite compliant assessment authoring tool, QAed. It supports teacher centering, which is quite neglected when designing such tools. In the paper we also discuss how to make compatible standards support and user centering in eLearning applications and provide some recommendations for the design of the user interfaces

Assigning Creative Commons Licenses to Research Metadata: Issues and Cases

This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.Comment: 9 pages. Submitted to the 29th International Conference on Legal Knowledge and Information Systems (JURIX 2016), Nice (France) 14-16 December 201

1st INCF Workshop on Global Portal Services for Neuroscience

The goal of this meeting was to map out existing portal services for neuroscience, identify their features and future plans, and outline opportunities for synergistic developments. The workshop discussed alternative formats of future global and integrated portal services

Interoperability in the OpenDreamKit Project: The Math-in-the-Middle Approach

OpenDreamKit --- "Open Digital Research Environment Toolkit for the Advancement of Mathematics" --- is an H2020 EU Research Infrastructure project that aims at supporting, over the period 2015--2019, the ecosystem of open-source mathematical software systems. From that, OpenDreamKit will deliver a flexible toolkit enabling research groups to set up Virtual Research Environments, customised to meet the varied needs of research projects in pure mathematics and applications. An important step in the OpenDreamKit endeavor is to foster the interoperability between a variety of systems, ranging from computer algebra systems over mathematical databases to front-ends. This is the mission of the integration work package (WP6). We report on experiments and future plans with the \emph{Math-in-the-Middle} approach. This information architecture consists in a central mathematical ontology that documents the domain and fixes a joint vocabulary, combined with specifications of the functionalities of the various systems. Interaction between systems can then be enriched by pivoting off this information architecture.Comment: 15 pages, 7 figure

1st INCF Workshop on Sustainability of Neuroscience Databases

The goal of the workshop was to discuss issues related to the sustainability of neuroscience databases, identify problems and propose solutions, and formulate recommendations to the INCF. The report summarizes the discussions of invited participants from the neuroinformatics community as well as from other disciplines where sustainability issues have already been approached. The recommendations for the INCF involve rating, ranking, and supporting database sustainability

EML and LMS related standard

IMS Global Learning Consortium, Inc. (IMS) is developing and promoting open specifications for facilitating online distributed learning activities such as locating and using educational content, tracking learner progress, reporting learner performance, and exchanging student records between administrative systems. The IMS project defines the following separate specifications. · Learning Resource Meta-data (p. 9). This is a specification of meta-data used to identify “learning resources”. · Content packaging (p. 13). A specification of how to assemble and distribute content in “packages”. · Resource identifiers (p. 17). This defines persistent, location independent resource identifiers. · Question & Test Interoperability (QTI) (p. 19). This defines the structure of questions and tests, and the grouping of these. · Enterprise (p. 33). This defines the way information on the learning 'enterprise' (instructional processes) is shared. · Learner information packaging (p. 37). This specifies how to record and share information on the learner. · Reusable Competency Definitions (p. 40). An information model for describing, referencing and exchanging definitions of competencies, primarily in the context of online and distributed learning. · Simple Sequencing (p. 42). This defines how to associate sequencing information with content packs (p. 13) and its default behaviour. Each specification has (or will have) at least three main parts: · Information model — an abstract description of the area modelled · Binding — binding to a particular language. For all specifications XML is the language of choice · Best practice — explanation of how to apply the model

The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience

With support from the Institutes and Centers forming the NIH Blueprint for Neuroscience Research, we have designed and implemented a new initiative for integrating access to and use of Web-based neuroscience resources: the Neuroscience Information Framework. The Framework arises from the expressed need of the neuroscience community for neuroinformatic tools and resources to aid scientific inquiry, builds upon prior development of neuroinformatics by the Human Brain Project and others, and directly derives from the Society for Neuroscience’s Neuroscience Database Gateway. Partnered with the Society, its Neuroinformatics Committee, and volunteer consultant-collaborators, our multi-site consortium has developed: (1) a comprehensive, dynamic, inventory of Web-accessible neuroscience resources, (2) an extended and integrated terminology describing resources and contents, and (3) a framework accepting and aiding concept-based queries. Evolving instantiations of the Framework may be viewed at http://nif.nih.gov, http://neurogateway.org, and other sites as they come on line