Producing new generation of digital public services from open data is of major interest to policymakers, practitioners and academia in the digital government community. Recent efforts in the area of Linked Statistical Data suggest that the associated multidimensional data cubes are excellent resources that could underpin data-driven digital public services. We describe in this paper a set of tools and approach to exploiting linked statistical data produced from the integration of streams of open marine datasets for developing digital services to support Marine Rescue Operations. We also highlight the opportunities enabled through co-creation activities as well as the benefit and challenges for scaling and sustaining the initiative.

No abstract

Due to the increasing adoption of open data among governments worldwide especially in the European Union area, a deeper analysis of the newly published data is becoming a mandate. Apart from analyzing the published dataset itself we aimed on analyzing published dataset catalogues. A dataset catalogue or a dataset metadata contains features that describe what the data is about in a textual representation. So, we first acquire data from open data portals, choose descriptive dataset catalogue features, and then construct an aggregated textual representation of the datasets. Afterwards we enrich those textual representations using Natural Language Processing (NLP) methods to create a new comparable data feature "Named Entities". By mining the new data feature we are able to produce datasets and publishers relatedness network. Those networks are used to point similarities between the published data across multiple open data portals. Pointing all possible collaborations for integrating and standardizing data features and types would increase the value of da1ta and ease its analysis process.

No abstract

Background: Enhancer of Zeste Homolog 2 (EZH2) is the catalytic subunit of the chromatin modifying enzyme polycomb repressive complex 2 (PRC2). As a complex, these proteins selectively silence target genes through trimethylation of histone 3 at lysine 27. EZH2 is strongly oncogenic. It has been observed in various malignancies which makes it an interesting therapeutic target. Whether it functions as a tumor suppressor or oncogene in acute leukemia is not settled. Aim of this work: This study aimed at determining the expression levels of EZH2 gene in a cohort of adult Egyptian patients newly diagnosed with acute myeloid leukemia (AML). Materials and methods: The present study included 45 de novo AML patients and 40 healthy subjects of matched age and sex as a control group. All study participants were subjected to complete blood count (CBC), bone marrow examination, immunophenotyping, conventional cytogenetic studies and Detection of EZH2 gene expression levels by real time quantitative polymerase chain reaction (RQ-PCR). Results: EZH2 was significantly downregulated in AML patients compared to controls (p<0.001). There was no significant difference in EZH2 level when considering age, sex, bone marrow blasts count, cytogenetic studies, type or site of infection. Low EZH2 expression was associated with higher mortality (31 patients, 68.9%). Conclusions: Low EZH2 expression is prevalent in Egyptian AML patients subsequently; it is suggested to function as tumor suppressor gene rather than an oncogene. Moreover, EZH2 downregulation is associated with resistance to chemotherapy and high mortality rate.

Public policies documents convey strategic directions and framework of actions of government in a particular sector. For most societal challenges, there is a need for government entities at the same and different levels to coordinate their policies and collaborate on the implementations of policies. However, this coordination and collaboration efforts are seriously hampered by the lack of a central repository for public policy documents from which policy makers and researchers can access related policies on a particular topic, industry or group of stakeholders. To address this challenge, this paper describes the development of Vocabulary to underpin the implementation of a shared public policy repository in Europe. The Core Public Policy Vocabulary (CPPV) is developed as a semantic interoperability resource for government organizations for consistent description and documentation of public policies to enable efficient discovery, cross-referencing and analysis of policy documents. We describe our approach, conceptual model, elements of the vocabulary, its implementation and concrete scenarios for the use of the vocabulary.

Despite the large volume of policies and other formal decision instruments in government and international organizations, policy repositories with rich metadata across government and public administration jurisdictions are virtually nonexistent. The lack of such infrastructure and technical resources makes learning within government, across political and economic regions (such as the EU) and cross-border learning challenging. The use of open standards such as the European Union Interoperability Solutions for Public Administrations (ISA) Core vocabularies for describing government policies could enable the development of robust intra and inter-government policy indexing and search infrastructure. This poster describes a policy vocabulary developed through the systematic and detailed analysis of policy documents spanning several sectors. We present the conceptual model for the vocabulary and describe its major classes.

No abstract