Damiana Koutsomiha

Bio: Damiana Koutsomiha is an academic researcher from American Farm School. The author has contributed to research in topics: Metadata & Semantic grid. The author has an hindex of 2, co-authored 4 publications receiving 9 citations.

Metadata Requirements for Repositories in Health Informatics Research: Evidence from the Analysis of Social Media Citations

Abstract: Social media have transformed the way modern science is communicated. Although several studies have been focused on the use of social media for the dissemination of scientific knowledge and the measurement of the impact of academic output, we know very little about how academics cite social media in their publications. In order to address this gap, a content analysis was performed on a sample of 629 journal articles in medical informatics. The findings showed the presence of 109 citations to social media resources, the majority of which were blogs and wikis. Social media citations were used more frequently to support the literature review section of articles. However, a fair amount of citations was used in order to document various aspects of the methodology section, such as the data collection and analysis process. The paper concludes with the implications of these findings for metadata design for bibliographic databases (like PubMed and Medline).

Digital Literacy Practices of Young Children in Informal Learning Spaces

Abstract: This paper reviews research on digital literacy practices of young children (0–8 years) in out-of-school settings or in informal learning spaces/settings. The purpose of this review is to identify the literature and topics that have arisen from non-school-based or informal space research and to highlight main directions and dimensions. The major research question is: What is the role of informal learning spaces in shaping children’s digital literacy practices? This research attempts to bridge the gap that exists between children’s uses of digital technology at home and in other informal settings and contributes and highlights the need for studying learning more holistically.

Metadata and Semantics Research: a case of an international conference paving toward a data driven future

Abstract: This paper provides an overview of the 11th international conference on Metadata and Semantics Research (MTSR-2017) which was held in Tallinn, Estonia from November 28th to December 1st, 2017. The paper contextualises this with existing literature and concludes by offering insight toward the future of metadata. MTSR-2017 brought metadata experts from various domains including libraries, museums, archives, higher education and agriculture. The conference provided an opportunity for participants to share their knowledge and novel approaches in the implementation of metadata and semantics technologies across diverse types of information environments and applications. In libraries, it is indicated that contemporary standards-based metadata approaches fail to describe the ever increasing size of digital resources as well as the changing technologies and dynamic user requirements. The paper shows the need to re-conceptualise existing metadata principles and technical formats with emerging Linked Open Data frameworks. This is where, the theory of metadata enriching and filtering (Alemu & Stevens, 2015) fits in. It emerges that the future of metadata, ontologies and semantics is enriched, linked, open and filtered. In addition, ontologies need to reflect the diversity of interpretations inherent in human beings and the existence of multi-lingual, cross-cultural and multi-disciplinary content – hence they should be designed, developed and maintained with diversity, scalability and interoperability in mind.

Metadata and Semantic Research

Abstract: The dynamic and distributed nature of the Semantic Web demands for methodologies and systems fostering collective participation to the evolution of datasets. In collaborative and iterative processes for dataset development, it is important to keep track of individual changes for provenance. Different scenarios may require mechanisms to foster consensus, resolve conflicts between competing changes, reversing or ignoring changes etc. In this paper, we perform a landscape analysis of version control for RDF datasets, emphasizing the impor‐ tance of change reversion to support validation. Firstly, we discuss different representations of changes in RDF datasets and introduce higher-level perspec‐ tives on change. Secondly, we analyze diverse approaches to version control. We conclude by focusing on validation, characterizing it as a separate need from the mere preservation of different versions of a dataset.

Scholarly use of social media and altmetrics: A review of the literature

Abstract: Social media has become integrated into the fabric of the scholarly communication system in fundamental ways, principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics—that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of 2 main parts: the first examines the use of social media in academia, reviewing the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.

Scholarly use of social media and altmetrics: a review of the literature

Abstract: Social media has become integrated into the fabric of the scholarly communication system in fundamental ways: principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics -- that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of two main parts: the first examines the use of social media in academia, examining the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.

Connected learning in the library as a product of hacking, making, social diversity and messiness

Abstract: Learning is most effective when intrinsically motivated through personal interest, and situated in a supportive socio-cultural context. This paper reports on findings from a study that explored implications for design of interactive learning environments through 18 months of ethnographic observations of people’s interactions at “Hack The Evening” (HTE). HTE is a meetup group initiated at the State Library of Queensland in Brisbane, Australia, and dedicated to provide visitors with opportunities for connected learning in relation to hacking, making and do-it-yourself technology. The results provide insights into factors that contributed to HTE as a social, interactive and participatory environment for learning – knowledge is created and co-created through uncoordinated interactions among participants that come from a diversity of backgrounds, skills and areas of expertise. The insights also reveal challenges and barriers that the HTE group faced in regards to connected learning. Four dimensions of design opportunities are presented to overcome those challenges and barriers towards improving connected learning in library buildings and other free-choice learning environments that seek to embody a more interactive and participatory culture among their users. The insights are relevant for librarians as well as designers, managers and decision makers of other interactive and free-choice learning environments.

Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories

Abstract: Data-driven approaches to scientific research have generated new types of repositories that provide scientists the means necessary to store, share and re-use big data-sets generated at various stages of the research process. As the number and heterogeneity of research data repositories increase, it becomes critical for scientists to solve data quality problems associated to the data-sets stored in these repositories. To date, several authors have been focused on the data quality issues associated to the data-sets stored in the repositories, yet there is little knowledge about the quality problems of the metadata used to describe these data-sets. Metadata is important for the long-term sustainability of research data repositories and data re-use. The aim of the research reported in this paper was to identify the data quality problems associated with the metadata used in the Dryad data repository. The paper concludes with some recommendations for improving the quality of metadata in research data repositories.