scholarly journals Content Metadata Standards for Marine Science: A Case Study

2004 ◽  
Author(s):  
Rebecca L. Riall ◽  
Fausto Marincioni ◽  
Frances L. Lightsom
2018 ◽  
Vol 74 (4) ◽  
pp. 674-691 ◽  
Author(s):  
Deborah Maron ◽  
Melanie Feinberg

Purpose The purpose of this paper is to employ a case study of the Omeka content management system to demonstrate how the adoption and implementation of a metadata standard (in this case, Dublin Core) can result in contrasting rhetorical arguments regarding metadata utility, quality, and reliability. In the Omeka example, the author illustrate a conceptual disconnect in how two metadata stakeholders – standards creators and standards users – operationalize metadata quality. For standards creators such as the Dublin Core community, metadata quality involves implementing a standard properly, according to established usage principles; in contrast, for standards users like Omeka, metadata quality involves mere adoption of the standard, with little consideration of proper usage and accompanying principles. Design/methodology/approach The paper uses an approach based on rhetorical criticism. The paper aims to establish whether Omeka’s given ends (the position that Omeka claims to take regarding Dublin Core) align with Omeka’s guiding ends (Omeka’s actual argument regarding Dublin Core). To make this assessment, the paper examines both textual evidence (what Omeka says) and material-discursive evidence (what Omeka does). Findings The evidence shows that, while Omeka appears to argue that adopting the Dublin Core is an integral part of Omeka’s mission, the platform’s lack of support for Dublin Core implementation makes an opposing argument. Ultimately, Omeka argues that the appearance of adopting a standard is more important than its careful implementation. Originality/value This study contributes to our understanding of how metadata standards are understood and used in practice. The misalignment between Omeka’s position and the goals of the Dublin Core community suggests that Omeka, and some portion of its users, do not value metadata interoperability and aggregation in the same way that the Dublin Core community does. This indicates that, although certain values regarding standards adoption may be pervasive in the metadata community, these values are not equally shared amongst all stakeholders in a digital library ecosystem. The way that standards creators (Dublin Core) understand what it means to “adopt a standard” is different from the way that standards users (Omeka) understand what it means to “adopt a standard.”


2020 ◽  
Vol 18 (4) ◽  
Author(s):  
Reem Alfayez

This article reports comparison results from studying the alignment of selected metadata models, used to manage E‑Learning Materials (ELM) in the medicine and healthcare education, against the accreditation standards of the European Accreditation Council for Continuing Medical Education (EACCME). The study aims to (1) illustrate the variety of application profiles developed as metadata models in that field, (2) identify the alignment of the metadata models with the criteria set by the EACCME. This study com¬pared several application profiles, developed based on established metadata standards, using an evaluation matrix created using the accreditation criteria set by the EACCME. Further technical criteria were added to compare between the metadata models and their alignment with the new techniques used for publishing data online. Such techniques aid in the searchabililty and discovery of online content via the internet. Therefore, the use of XML and RDF technologies combined with the use of ontologies and controlled vocabulary was emphasized in the implementation of many metadata models. One limitation faced during conducting this research was the poor documentation of the methodology for designing the metadata models. Despite this, it is apparent that the EACCME criteria can work as best practices guidelines for describing the content of digital libraries with medical and healthcare content in order to be accredited later on. The study showed that the medicine and healthcare educational content requires specialized metadata models that consider having specific properties such as clinical history and expiry time of its material shown in some of the application profiles. Further research should be conducted to evaluate the completeness and conformity of applying the application profiles in digital libraries and online repositories to the standards’ guidelines.


2021 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Seno Yudhanto ◽  
Nina Mayesti

Organizing research data is very important for data and information managers through a research data management mechanism (research data management/MDP) in a repository system. In this mechanism, research data must be organized and described as an effort to provide access. One important aspect of organizing is the availability of metadata. This Study was supported by the Institute of Sciences of Indonesia (LIPI) and the SAINTEK Scholarship from the Ministry of Research and Technology/National Research and Innovation Agency of the Republic of Indonesia (KEMENRISTEK/BRIN) in 2020 and it’s purpose is to identify and describe metadata standards and metadata elements used in research data management in the National Scientific Repository (RIN) system. This study uses a qualitative approach with a case study method. Sources of data come from literature / document studies and direct observation. The results of the study show that the RIN system adopts descriptive metadata from three main standards, they are DublinCore, DataCite, and DDI. As a medium for describing research data in general, the metadata sections provided by the RIN system in the dataset folder are quite large and complete. Of the 35 metadata fields available in the dataset folder in this system, the three metadata standards complement each other with an adaptation of the dominant DDI standard with 32 metadata fields. However, the fields that are available can also be found in other standards, such as the title, subject, or keyword fields that are also found in the DublinCore and DataCite standards. Thus, the metadata fields provided in the RIN system is good enough and sufficient for research data management needs.


2021 ◽  
Vol 8 ◽  
Author(s):  
Katie Moon ◽  
Christopher Cvitanovic ◽  
Deborah A. Blackman ◽  
Ivan R. Scales ◽  
Nicola K. Browne

Developing solutions to the complex and uncertain problems facing marine and coastal social-ecological ecosystems requires new forms of knowledge production and integration. While progress has been made both in terms of successfully producing integrated marine research and connecting that knowledge to decision-makers, a number of significant challenges remain that prevent the routine development and implementation of successful integrated research practice. Based on our own experiences as social researchers working within interdisciplinary research teams, we contend that one of the main barriers to successful integrative marine research relates to understanding, and where possible reconciling, the different epistemologies that unpin how knowledge is created or discovered in different disciplines. We therefore aim to provide an accessible introduction to the concept of epistemology, with a focus on its importance and influence to integrated marine research practice. Specifically, we present and discuss five questions of research design that relate to epistemology in integrative research practices: (1) What is the object of study we seek to create knowledge about; (2) how do we create knowledge; (3) who accepts knowledge as ‘true’ and how?; (4) how do we determine the epistemology underpinning marine science; and (5) what are the implications of epistemology for applied integrative marine science? We demonstrate the application of each question through a hypothetical case study of marine restoration, focusing on coral transplanting. Finally, we offer readers a simple heuristic to guide them, irrespective of career stage or discipline, to understand and account for epistemology when participating in integrative marine research practices.


Author(s):  
R. Esmaeili ◽  
F. Karimipour

Volunteered geographic information is constantly being added, edited or removed by users. Most of VGI users are not experts, thus formal representation of spatial data quality parameters through metadata standards does not efficiently communicate, as it may be interpreted differently by different users with different semantics. In addition, a user may not be able to decide on the relevant dataset for their in-hand application. In this paper, we propose providing VGI users with the spatial data quality parameters through simple cartographic representations, which is independent of users’ semantics. The problem is described and its implementation results for a simple case study are represented.


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