Involving Data Creators in an Ontology-Based Design Process for Metadata Models

Castro, João Aguiar; Amorim, Ricardo Carvalho; Gattelli, Rúbia; Karimova, Yulia; Silva, João Rocha da; Ribeiro, Cristina

doi:10.4018/978-1-5225-2221-8.ch008

Cited by 7 publications

(5 citation statements)

References 40 publications

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“…Other vocabularies can combine elements from different standards. For example, for the Biodiversity Evolution Studies and Biological Oceanography we selected descriptors from multiple standards which we combined with new descriptors created based on the specificity of each experiment (Castro et al, 2017). Finally, some vocabularies can be based on a single standard if it is comprehensive enough to cover the identified data description requirements.…”

Section: Dendro a Staging Platform For Data Descriptionmentioning

confidence: 99%

“…Thus, and in order to motivate small research groups with no time or funding for data curation, the TAIL team developed Dendro 3 , an open-source platform designed to help researchers describe their data, fully built on Linked Open Data (Rocha da Silva, Ribeiro and Lopes, 2018). Dendro includes domain-specific metadata models to address disciplinary data description requirements (Castro et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Castro

Rodrigues

Matos

et al. 2023

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To address metadata with researchers it is important to use models that include familiar domain concepts. In the Social Sciences, the DDI is a well-accepted source of such domain concepts. To create FAIR data and metadata, we need to establish a compact set of DDI elements that fit the requirements in projects and are likely to be adopted by researchers inexperienced with metadata creation. Over time, we have engaged in interviews and data description sessions with research groups in the Social Sciences, identifying a manageable DDI subset. A recent Clinical Psychology project, TOGETHER, dealing with risk assessment for hereditary cancer, considered the inclusion of a DDI subset for the production of metadata that are timely and interoperable with data publication initiatives in the same domain. Taking a DDI subset identified by the data curators, we make a preliminary assessment of its use as a realistic effort on the part of researchers, taking into consideration the metadata created in two data description sessions, the effort involved, and overall metadata quality. A follow-up questionnaire was used to assess the perspectives of researchers regarding data description.

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Section: Dendro a Staging Platform For Data Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Castro

Rodrigues

Matos

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The purpose of data description in Dendro is to capture metadata for research datasets, based on ontologies [19], combining description elements from widely adopted metadata standards such as Dublin Core, for the sake of interoperability, with domain-specific elements for specificity. The latter can either be sourced from domain metadata standards, or otherwise defined in collaboration with the researchers after analysing the terms they already associate to their data [3,4]. For some of the domains tested with Dendro, controlled vocabularies were created to restrict the possible values for some fields to facilitate description and improve its quality [10].…”

Section: Complete Rdm Workflow With Dendro and B2sharementioning

confidence: 99%

Promoting Semantic Annotation of Research Data by Their Creators: A Use Case with B2NOTE at the End of the RDM Workflow

Karimova

Castro

Silva

et al. 2017

Metadata and Semantic Research

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Research data management is promoted at different levels with awareness actions carried out to encourage cooperation between researchers. However, data management requires tools to set the scene for researchers and institutions to disseminate the research data they produce. In this context good quality metadata play an important role by enabling data reuse. EUDAT is an European common data infrastructure, with integrated services for data preservation and dissemination. The TAIL project, at the University of Porto, proposes workflows based on Dendro, a collaborative environment that helps researchers prepare well described datasets and deposit them in a data repository. We propose a data deposit workflow use case for a small research project with emphasis in data annotation. Data is organized and described in Dendro; deposited in B2SHARE; and semantic annotation is performed with the new B2NOTE service from EUDAT.

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“…Research Data Management (RDM) is gaining the attention of researchers, who often ask for support in the process [2]. Tasks as an adequate data organization, rigorous description, storage, and sharing allow data to keep their meaning and facilitate their interpretation [7].…”

Section: Introductionmentioning

confidence: 99%

Research Data Management in the Image Lifecycle: A Study of Current Behaviors

Rodrigues

Lopes

2022

Research Challenges in Information Science

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Research data management (RDM) practices are critical for ensuring research success. Data can assume diverse formats and data in image format have been understudied in RDM. To understand image management habits in research, we have conducted semi-structured interviews with researchers from four research domains. Most researchers do not formally manage their images, nor do they develop RDM plans. They assume that image management is not a topic discussed at project meetings. In turn, they tend to perform some individual practices, depending on the context and their own opinion, such as creating captions to describe the images and organizing and storing the images in specific locations. However, they see these habits as necessary and admit that they will start to do so in a formal and collaborative way with the working group. These results provide valuable information on practical aspects of the use and production of images in research.

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Involving Data Creators in an Ontology-Based Design Process for Metadata Models

Cited by 7 publications

References 40 publications

Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Promoting Semantic Annotation of Research Data by Their Creators: A Use Case with B2NOTE at the End of the RDM Workflow

Research Data Management in the Image Lifecycle: A Study of Current Behaviors

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