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

Mathiak, Brigitte; Juty, Nick; Bardi, Alessia; Colomb, Julien; Kraker, Peter

doi:10.5334/dsj-2023-003

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…The FAIR data guiding principles (Wilkinson et al 2016) start with findable, which is (or may be) one of the most challenging tasks for data users, data producers, and service providers worldwide. In the Internet era, data services that facilitate data discovery heavily rely on metadata provided by data producers (e.g., Bugbee et al 2021;Mathiak et al 2023). However, many data producers are neither aware of, nor paying attention to, the importance of including sufficient and standardized metadata in their datasets for improving data discovery and usage, mainly because best community data practices and standards have often not been required in their research proposals, such as preparing a data management plan.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the reality that most datasets are online with certain heuristic search capabilities available (e.g., filtering), search results often contain many similar datasets that are designed for various research or application purposes by different projects or missions. Without additional information (e.g., publications, usage examples, FAQs), it is often difficult for users to conduct self-guided data discovery (Mathiak et al 2023). As a result, some users simply ask data support staff for advice.…”

Section: Introductionmentioning

confidence: 99%

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Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education

Liu¹,

Shie

Shen

et al. 2023

Data Science Journal

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Since the Internet era began, numerous earth science data services have been developed to facilitate data discovery (e.g., data sources, documents, facts, visualization, opinions) and data access for research and application activities. For example, a large collection of NASA's earth science data has been made searchable and freely downloadable over the Internet. Some value-added services even allow users to analyze and visualize many variables online (e.g., 2,000+ in NASA Giovanni) without downloading data and software.However, finding and discovering suitable datasets and information for interdisciplinary research (involving two or more scientific disciplines), applications, education, and other emerging activities (e.g., water, food, energy nexus) has been a challenge not only for users, especially for those who are unfamiliar with scientific disciplines, measurements, or models, but also for data producers and service developers who want their data to be discoverable. NASA earth science data are currently archived and distributed at twelve NASA disciplineoriented Distributed Active Archive Centers (DAACs). Even though most datasets are online, search results often contain many similar datasets with limited information for self-guided or heuristic dataset discovery, so some users simply send an inquiry to DAAC support staff for advice. Conducting interdisciplinary research often requires multiple datasets from different data repositories, which can make it even harder to find and discover suitable datasets without additional data services to accommodate these emerging user needs.In this article, we assess current data discovery practices and publications (e.g., reports from working groups) to identify challenges and make actionable recommendations for improving earth science data discoverability and facilitating interdisciplinary activities. Highlights:• Status review of earth science data discoverability for interdisciplinary research and applications at NASA GES DISC.• Review of data discovery research and working group activity.• Discuss challenges and opportunities for interdisciplinary data discovery with recommendations for practitioners.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education

Liu¹,

Shie

Shen

et al. 2023

Data Science Journal

View full text Add to dashboard Cite

show abstract

Search and Harvesting across NFDI Consortia – Gaps and Challenges

Mathiak,

Heyer,

Widmann

et al. 2024

Datenbank Spektrum

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Search and harvesting use cases on harmonised metadata play an important role in several activities on National Research Data Infrastructures (NFDI). The working group Search and Harvesting of the NFDI section (meta)data, terminologies and provenance works on a common understanding of user needs (for search) and service requirements (for harvesting), analysis of the data sources landscape, and recommendations concerning common and specific needs, e.g., for spatial or sensitive data. Here, we present search and harvesting gaps and challenges across NFDI consortia and beyond, which were identified and structured in the Search and Harvesting Working Group, and the recommendations for the NFDI we derive from them. Our goal is to foster a common vision for search and harvesting in the NFDI.

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

Cited by 2 publications

References 14 publications

Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education

Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education

Search and Harvesting across NFDI Consortia – Gaps and Challenges

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