Archives des mots-clés : data discovery

What are Researchers’ Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases

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Authors : Brigitte Mathiak, Nick Juty, Alessia Bardi, Julien Colomb, Peter Kraker

Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users’ wishes.

This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 ‘topics’ and eight types of users.

While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements.

Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.

URL : What are Researchers’ Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases

DOI : http://doi.org/10.5334/dsj-2023-003

A Controlled Vocabulary and Metadata Schema for Materials Science Data Discovery

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Authors : Andrea Medina-Smith, Chandler A. Becker, Raymond L. Plante, Laura M. Bartolo, Alden Dima, James A. Warren, Robert J. Hanisch

The International Materials Resource Registries (IMRR) working group of the Research Data Alliance (RDA) was created to spur initial development of a federated registry system to allow for easier discovery and access to materials data.

As part of this effort, a controlled vocabulary and metadata schema were developed with contributions from members of the working group and other experts. Here we describe the process, the resulting vocabulary and XML schema, and lessons learned in the development and use of the schema.

URL : A Controlled Vocabulary and Metadata Schema for Materials Science Data Discovery

DOI : http://doi.org/10.5334/dsj-2021-018

Discoverability Challenges and Collaboration Opportunities within the Scholarly Communications Ecosystem: A SAGE White Paper Update

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The prominence of mainstream search engines and the rise of web-scale, pre-indexed discovery services present new challenges and opportunities for publishers, librarians, vendors, and researchers. With the aim of furthering collaborative conversations, SAGE commissioned a study of opportunities for improving academic discoverability with value chain experts in the scholarly communications ecosystem.

Results were released in January 2012 as a white paper titled Improving Discoverability of Scholarly Content in the Twentieth Century: Collaboration Opportunities for Librarians, Publishers, and Vendors. Following the white paper, this article explores the implications for these findings through review of commissioned studies, research reports, journal articles, conference papers, and white papers published in the ensuing twelve months. Sidebars highlight especially promising cross-sector initiatives for enhancing researcher discoverability of the scholarly corpus at appropriate points in their workflow, including the NISO Open Discovery Initiative (ODI) and the Open Researcher and Contributor ID (ORCID).

Concluding reflections highlight opportunities for librarians to contribute to cross-sector collaborations that support discovery of quality peer-reviewed content by improving navigation, discoverability, visibility, and usage of the scholarly corpus.

URL : http://collaborativelibrarianship.org/index.php/jocl/article/view/240

The data paper: a mechanism to incentivize data publishing in biodiversity science

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Background

Free and open access to primary biodiversity data is essential for informed decision-making to achieve conservation of biodiversity and sustainable development. However, primary biodiversity data are neither easily accessible nor discoverable.

Among several impediments, one is a lack of incentives to data publishers for publishing of their data resources. One such mechanism currently lacking is recognition through conventional scholarly publication of enriched metadata, which should ensure rapid discovery of ‘fit-for-use’ biodiversity data resources.

Discussion

We review the state of the art of data discovery options and the mechanisms in place for incentivizing data publishers efforts towards easy, efficient and enhanced publishing, dissemination, sharing and re-use of biodiversity data.

We propose the establishment of the ‘biodiversity data paper’ as one possible mechanism to offer scholarly recognition for efforts and investment by data publishers in authoring rich metadata and publishing them as citable academic papers.

While detailing the benefits to data publishers, we describe the objectives, work flow and outcomes of the pilot project commissioned by the Global Biodiversity Information Facility in collaboration with scholarly publishers and pioneered by Pensoft Publishers through its journals Zookeys, PhytoKeys, MycoKeys, BioRisk, NeoBiota, Nature Conservation and the forthcoming Biodiversity Data Journal.

We then debate further enhancements of the data paper beyond the pilot project and attempt to forecast the future uptake of data papers as an incentivization mechanism by the stakeholder communities.

Conclusions

We believe that in addition to recognition for those involved in the data publishing enterprise, data papers will also expedite publishing of fit-for-use biodiversity data resources.

However, uptake and establishment of the data paper as a potential mechanism of scholarly recognition requires a high degree of commitment and investment by the cross-sectional stakeholder communities.”

URL : http://www.biomedcentral.com/1471-2105/12/S15/S2