scholarly journals Advances in Lifelog Data Organisation and Retrieval at the NTCIR-14 Lifelog-3 Task

2019 ◽  
pp. 16-28 ◽  
Author(s):  
Cathal Gurrin ◽  
Hideo Joho ◽  
Frank Hopfgartner ◽  
Liting Zhou ◽  
Van-Tu Ninh ◽  
...  
Keyword(s):  
Data Organisation

scholarly journals How parents share and limit their child’s access to information about COVID-19: A mixed methods online survey study

2021 ◽  
pp. 136749352110467
Author(s):  
Marla A Garcia de Avila ◽  
Bernie Carter ◽  
Lucy Blake ◽  
Holly Saron ◽  
Jennifer Kirton ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Online Survey ◽  
Analysis Data ◽  
Survey Study ◽  
Open Approach ◽  
Access To Information ◽  
Text Data ◽  
Shared Information ◽  
Data Organisation ◽  
Three Stages

This study aimed to understand the role that parents play in sharing or limiting their child’s access to information about coronavirus disease 2019 (COVID-19). A subset of data from an international mixed methods online survey study was analysed to elucidate the findings from Brazil. An online survey, conducted between April and June 2020, gathered closed and open text views from parents of children aged 7–12 years old. Quantitative data were analysed using descriptive statistics. Qualitative open text data were analysed using the three stages of the Bardin content analysis framework: pre-analysis (data organisation and initial full-content reading); exploration of the material (thematic coding to identify major motifs and develop thematic categories) and interpretation (treating the data as significant and valid). The sample consisted of 112 (89%) mothers and 14 (11%) fathers. The analysis of the parents open text resulted in two categories: ‘How parents share information with their children about COVID-19’ and ‘How parents limit information to their children about COVID-19’. Some parents reported adopting an honest and open approach on how they shared information with their children, whilst some parents chose to minimise their child’s access to information about the pandemic over concerns of the mortality related to COVID-19.

scholarly journals Stare przestrzenie informacji. Co tracimy na niewłaściwej automatyzacji pochodnych źródeł informacji?

2017 ◽  
Vol 60 ◽  
pp. 315-344
Author(s):  
Jakub Maciej Łubocki
Keyword(s):  
The Other ◽  
Sources Of Information ◽  
Information Spaces ◽  
Short Overview ◽  
Data Organisation ◽  
Internet Environment ◽  
State Of Affairs ◽  
The One ◽  
Informational Value ◽  
Modern Technologies

OLD INFORMATION SPACES. WHAT DO WE LOSE DUE TO INAPPROPRIATE AUTOMATISATION OF DERIVATIVE SOURCES OF INFORMATION?The belief that the very fact that information has been made available in the dynamic internet environment is enough for the users to find it may lead to very serious misunderstandings. Hence the importance of the reflection on what we lose because of careless and ill-considered automatisation of derivative sources of information bibliographies/catalogues, dictionaries, encyclopaedias. Admiration for modern technologies has, on the one hand, made us abandon the huge informational value of the higher level of data organisation Googlisation and granulation required by the printed form of such sources and on the other it has led to a situation in which we fail to use the potential of these technologies, impossible to realise in the printed form skeuomorphism. This leads to the disappearance of the additive nature of the information contained in them and its spread, heuristic impotence stemming from the seemingly intuitive nature of the handling of the source as well as the loss of the archival image of the state of affairs at a given time and place, hitherto guaranteed by the durable printed form. All these processes cause a loss of non-tool-related knowledge. The author uses examples to demonstrate the losses — perhaps irrevocable — to the specialist information toolkit and ways of preventing them. The paper is preceded by a short overview of positions concerning the relations between the terms “automatisation” and “digitisation”.

scholarly journals OpenBiodiv-O Ontology: Bridging the Gap Between Biodiversity Data and Biodiversity Publishing

2019 ◽  
Vol 3 ◽  
Author(s):  
Mariya Dimitrova ◽  
Viktor Senderov ◽  
Kiril Simov ◽  
Teodor Georgiev ◽  
Lyubomir Penev
Keyword(s):  
General Structure ◽  
Journal Articles ◽  
Scholarly Literature ◽  
Biodiversity Knowledge ◽  
Working Solution ◽  
Data Organisation ◽  
Research Findings ◽  
Semantically Enhanced ◽  
Description Framework ◽  
Species Descriptions

Communication of research findings is the last and arguably the most influential step of the scientific process. This is especially true for biodiversity science, in which new species descriptions and introduction of new taxonomic names happens through publication, as governed by the International Codes. Despite the strict rules for naming new taxa and revising existing taxonomic nomenclatures within scholarly literature, there is no system for keeping track of these changes and information often remains locked within the text of thousands of scattered journal articles. This talk presents OpenBiodiv-O, the first ontology which conceptually models the biodiversity publishing domain and through its application in the semantic graph database OpenBiodiv contributes to knowledge management of this domain. In combination with already existing ontologies for biodiversity and publishing (e.g. DarwinCore-based ontologies, SPAR ontologies), resource types introduced by OpenBiodiv-O help to create a link between these two domains. The ontology models the general structure of a research article, including sections specific to taxonomic articles, such as the treatment section, as well as other conceptual entities from taxonomy, like scientific names and taxonomic concepts. Thus, OpenBiodiv-O links scientific names to the corresponding article section in which they are mentioned via the class Taxonomic Name Usage and helps to discover hidden relationships between names. In addition, OpenBiodiv-O models the article metadata, such as the author names, affiliations and unique identifiers. The orcid class from the recently introduced Datacite ontology within OpenBiodiv-O models the ORCID of authors and will enable the future disambiguation of authors and linking with other platforms using ORCID. OpenBiodiv-O has been applied to the biodiversity knowledge graph OpenBiodiv, which is based on a Linked Open Dataset, created from Pensoft's journal articles and Plazi's treatments. Publishing of semantically enhanced scholarly literature as XML enables the conversion of semi-structured narrative into connected Resource Description Framework (RDF) statements. The ontology serves as a skeleton for the transformation of more than 729 million statements into a Linked Open Dataset. Reusing of existing ontologies within OpenBiodiv-O helps to establish a link between OpenBiodiv-O and other ontologies and facilitates federated querying between OpenBiodiv and other knowledge graphs. The application of OpenBiodiv-O towards a working solution for the biodiversity publishing domain demonstrates the potential of ontology modelling for data organisation and management.

scholarly journals Data Organisation and Process Design Based on Functional Modularity for a Standard Production Process

2018 ◽  
Vol 34 (4) ◽  
pp. 811-833
Author(s):  
David Salgado ◽  
M. Elisa Esteban ◽  
Maria Novás ◽  
Soledad Saldaña ◽  
Luis Sanguiao
Keyword(s):  
Process Design ◽  
Data Model ◽  
Object Oriented ◽  
Data Abstraction ◽  
Proof Of Concept ◽  
Data Organisation ◽  
Abstract Data ◽  
Design Production ◽  
R Packages ◽  
Standard Production

Abstract We propose to use the principles of functional modularity to cope with the essential complexity of statistical production processes. Moving up in the direction of international statistical production standards (GSBPM and GSIM), data organisation and process design under a combination of object-oriented and functional computing paradigms are proposed. The former comprises a standardised key-value pair abstract data model where keys are constructed by means of the structural statistical metadata of the production system. The latter makes extensive use of the principles of functional modularity (modularity, data abstraction, hierarchy, and layering) to design production steps. We provide a proof of concept focusing on an optimisation approach to selective editing applied to real survey data in standard production conditions at the Spanish National Statistics Institute. Several R packages have been prototyped implementing these ideas. We also share diverse aspects arising from the practicalities of the implementation.

Hypermedia and Ethnography: Reflections on the Construction of a Research Approach

1998 ◽  
Vol 3 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Bella Dicks ◽  
Bruce Mason
Keyword(s):  
Social Research ◽  
Research Process ◽  
Research Approach ◽  
Sequential Data ◽  
Ongoing Research ◽  
The Social ◽  
Data Organisation ◽  
Hypermedia Authoring ◽  
Object Of Study ◽  
Recent Attention

Current interest in ethnography within social research has focused on its potential to offer insights into the complexity of the social world. There have increasingly been calls for ethnography to reflect this complexity more adequately. Two aspects of ethnographic enquiry have been particularly singled out as areas in need of redefinition: the delineation of ethnography's object of study and its mode of presentation. Both of these areas are implicated in the recent attention to the possibilities of hypermedia authoring for ethnography. The paper offers a discussion of this potential in the light of an ongoing research project with which the authors are engaged. The project is designed to enable this potential to be assessed, and to provide for the construction of what the authors call an ethnographic hypermedia environment (EHE). We believe that the promise of hypermedia lies not only in its facility for non-sequential data organisation, but also in its ability to integrate data in different media. The synthesis of the visual, aural, verbal and pictorial planes of meaning holds considerable promise for the expansion and deepening of ethnographic knowledge. Consequently, we suggest that hypermedia has implications for all stages of the research process, and argue against the current tendency to see it as merely a tool either for analysis or for presentation. These arguments are illustrated by means of a commentary on some work in progress.

Sign in / Sign up

Export Citation Format

Share Document