EvoIO: Community-driven standards for sustainable interoperability

Interoperability is the property that allows systems to work together independent of who created them, or how or for what purpose they were implemented. It is crucial for aggregating data from different online resources and for integrating different kinds of data. Interoperability is based on effective standards that become and remain broadly adopted. We argue that to develop and apply such standards for evolutionary and biodiversity data sustainably, we need a community-driven, open, and participatory approach. With the goal to build such an approach, the EvoIO collaboration emerged in 2009 from several NESCent-sponsored activities. EvoIO aims to be a nucleating center for developing, applying and disseminating interoperability technology that connects and coordinates between stakeholders, developers, and standards bodies.

Members of the EvoIO group have harnessed a variety of collaborative events to successfully build an initial stack of interoperability technologies that is owned by the community and open to participation. The stack addresses syntax, semantics, and programmable services, and at present includes the following components: NeXML (http://nexml.org), a NEXUS-inspired XML format that is validatable yet extensible; CDAO (http://www.evolutionaryontology.org), an ontology of comparative data analysis formalizing the semantics of evolutionary data and metadata; and PhyloWS (http://evoinfo.nescent.org/PhyloWS), a web- services interface standard for querying, retrieving, and referencing phylogenetic data on the web. Beyond demonstration prototypes, reference implementations of EvoIO stack technologies are starting to appear in production use. 

Aside from producing such information artefacts, EvoIO devotes much of its energy to applying principles of communication and organization that result in open and inclusive processes of community science. One of the key tools employed by EvoIO is the hackathon event format. Hackathons are highly collaborative, hands-on working meetings that catalyze practical innovation, train researchers, and foster cohesion as well as a sense of shared ownership in the results. In summary, we find that broad community participation, buy-in, and ownership are critical for developing interoperability in a sustainable fashion, and there are approaches and tools that can foster these effectively

Developing a National-Level Concept Dictionary for EHR Implementations in Kenya

The increasing adoption of Electronic Health Records (EHR) by developing countries comes with the need to develop common terminology standards to assure semantic interoperability. In Kenya, where the Ministry of Health has rolled out an EHR at 646 sites, several challenges have emerged including variable dictionaries across implementations, inability to easily share data across systems, lack of expertise in dictionary management, lack of central coordination and custody of a terminology service, inadequately defined policies and processes, insufficient infrastructure, among others. A Concept Working Group was constituted to address these challenges. The country settled on a common Kenya data dictionary, initially derived as a subset of the Columbia International eHealth Laboratory (CIEL) / Millennium Villages Project (MVP) dictionary. The initial dictionary scope largely focuses on clinical needs. Processes and policies around dictionary management are being guided by the framework developed by Bakhshi-Raiez et al. Technical and infrastructure-based approaches are also underway to streamline workflow for dictionary management and distribution across implementations. Kenya's approach on comprehensive common dictionary can serve as a model for other countries in similar settings

Model-Based Testing for the Cloud

Software in the cloud is characterised by the need to be highly adaptive and continuously available. Incremental changes are applied to the deployed system and need to be tested in the field. Different configurations need to be tested. Higher quality standards regarding both functional and non-functional properties are put on those systems, as they often face large and diverse customer bases and/or are used as services from different peer service implementations. The properties of interest include interoperability, privacy, security, reliability, performance, resource use, timing constraints, service dependencies, availability, and so on. This paper discusses the state of the art in model-based testing of cloud systems. It focuses on two central aspects of the problem domain: (a) dealing with the adaptive and dynamic character of cloud software when tested with model-based testing, by developing new online and offline test strategies, and (b) dealing with the variety of modeling concerns for functional and non-functional properties, by devising a unified framework for them where this is possible. Having discussed the state of the art we identify challenges and future directions

An evaluation of e-learning standards

The aim of this investigation is to perform an independent study of the various emerging elearning standards. This paper presents a summary of these standards in order to make them more accessible and understandable, and provide preliminary evidence as to their utility and adoption by the various UK higher and further education institutions. Recently there have been efforts to define standards for the elearning contents and elearning components like the IEEELOM, UKLOM, IMS, SCORM and OKI. Since it was not possible to cover all the standards in detail within the time available, so our independent study focuses on eight standards Although the results of the preliminary study suggest that the eight standards considered in the study may help interoperability, accessibility and reusability of the elearning content and elearning components, but it is yet to be seen how many of these are actually followed at UK higher education institutions

Critical Management Issues for Implementing RFID in Supply Chain Management

The benefits of radio frequency identification (RFID) technology in the supply chain are fairly compelling. It has the potential to revolutionise the efficiency, accuracy and security of the supply chain with significant impact on overall profitability. A number of companies are actively involved in testing and adopting this technology. It is estimated that the market for RFID products and services will increase significantly in the next few years. Despite this trend, there are major impediments to RFID adoption in supply chain. While RFID systems have been around for several decades, the technology for supply chain management is still emerging. We describe many of the challenges, setbacks and barriers facing RFID implementations in supply chains, discuss the critical issues for management and offer some suggestions. In the process, we take an in-depth look at cost, technology, standards, privacy and security and business process reengineering related issues surrounding RFID technology in supply chains

The role of use cases in development of a reference framework for interoperability of data exchange in agriculture

vokKVIKA

A Model for Semantic IS Standards

We argue that, in order to suggest improvements of any kind to semantic information system (IS) standards, better understanding of the conceptual structure of semantic IS standard is required. This study develops a model for semantic IS standard, based on literature and expert knowledge. The model is validated by case descriptions of two particular semantic IS standards. The model shows characteristics of semantic IS standards. Some of these characteristics might become steering factors for improving the development, adoption and quality of standards, among others

DEUCE : a test-bed for evaluating ESL competence criteria

This paper describes work in progress to apply a Web-based facility for evaluating differing criteria for English language competence. The proposed system, Discriminated Evaluation of User's Competence with English (DEUCE), addresses the problem of determining the efficacy of individual criteria for competence in English as a Second Language (ESL). We describe the rationale, design and application of DEUCE and outline its potential as a discriminator for ESL competence criteria and as a basis for low cost mass ESL competence testing