How do properties of data, their curation, and their funding relate to reuse?

Hemphill, Libby; Pienta, Amy; Lafia, Sara; Akmon, Dharma; Bleckley, David

doi:10.1002/asi.24646

Cited by 10 publications

(6 citation statements)

References 37 publications

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“…In a mixed methods study, Melero & Navarro‐Molina looked at data sharing and reuse in the food science & technology field and found that the majority of respondents believed that it is labor intensive to make their data reusable by others [ 6 ]. Hemphil et al concluded that the more curation work done on a dataset such as adding metadata and providing more context on how the data was collected, the more the data was reused [ 7 ]. In a focus group study led by Johnston et al in 2016, they found that while those researchers felt that curation was important, only 18% of the researchers were satisfied with the curation services they received and identified several important data curation activities that libraries could develop or better advertise [ 3 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding the value of curation: A survey of researcher perspectives of data curation services from six US institutions

Marsolek,

Wright,

Luong

et al. 2023

PLoS ONE

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Data curation encompasses a range of actions undertaken to ensure that research data are fit for purpose and available for discovery and reuse, and can help to improve the likelihood that data is more FAIR (Findable, Accessible, Interoperable, and Reusable). The Data Curation Network (DCN) has taken a collaborative approach to data curation, sharing curation expertise across a network of partner institutions and data repositories, and enabling those member institutions to provide expert curation for a wide variety of data types and discipline-specific datasets. This study sought to assess the satisfaction of researchers who had received data curation services, and to learn more about what curation actions were most valued by researchers. By surveying researchers who had deposited data into one of six academic generalist data repositories between 2019–2021, this study set out to collect feedback on the value of curation from the researchers themselves. A total of 568 researchers were surveyed; 42% (238) responded. Respondents were positive in their evaluation of the importance and value of curation, indicating that the participants not only value curation services, but are largely satisfied with the services provided. An overwhelming majority 97% of researchers agreed that data curation adds value to the data sharing process, 96% agreed it was worth the effort, and 90% felt more confident sharing their data due to the curation process. We share these results to provide insights into researchers’ perceptions and experience of data curation, and to contribute evidence of the positive impact of curation on repository depositors. From the perspective of researchers we surveyed, curation is worth the effort, increases their comfort with data sharing, and makes data more findable, accessible, interoperable, and reusable.

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Section: Literature Reviewmentioning

confidence: 99%

Understanding the value of curation: A survey of researcher perspectives of data curation services from six US institutions

Marsolek,

Wright,

Luong

et al. 2023

PLoS ONE

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“…Producers want to be credited when others use their data products for the effort involved in creating and sharing them [32]. To help ensure data are properly cited, producers can provide data citation guidance that mimics article citations by including author names, year, title of the data source, repository name, and unique persistent identifiers for shared artifacts [33].…”

Section: Background Data Producer Research Processmentioning

confidence: 99%

The interdependence of data producers and data users: How researchers’ behaviors can support or hinder each other

Mikytuck¹,

Nusser²,

Korkmaz³

2022

Preprint

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Sharing and reusing data is widely viewed as advancing knowledge, but researchers often view it as a burdensome and time-consuming process. We sought to identify specific research practices that have the potential to decrease burden and increase benefits for researchers from any discipline while retaining the broad scholarly benefits, complementing investigations that have identified approaches and standards within specific fields. We conducted a literature search and engaged in qualitative interviews with 20 academic researchers who had diverse disciplinary backgrounds and experience sharing and/or reusing publicly accessible data. The connection points between data producers and data users throughout the data sharing and reuse cycle indicate that sharing and reusing data is an interdependent process, meaning producers and users depend on each other to achieve their respective goals successfully and efficiently. For example, data producers can simplify and ease the user’s work of finding data by posting on a visible repository or directly linking to their data in publications. Relatedly, data users who perceive the linked nature of reuse can simplify the producer’s ability to track impact of the data and facilitate the reward and credit the producer receives by citing the data products in publications. We highlight areas of interdependencies throughout the research process and provide recommendations for data producers and users to make their sharing and reuse practices, respectively, more efficient. We also recommend practices to reduce burden for producers, who bear the initial effort in preparing data properly for reuse. Because many of our participants did not consider the downstream success and impact of their data and the researchers who produce and use data, we call for increased awareness of the interconnections between producers and users as an important step to reduce burden and increase the effectiveness of data sharing and reuse.

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“…Through historical efforts, tasks and procedures have been developed in these fields to implement systematic data curation [ 12 ]. With the increasing reliability and interpretability of research data, the research style of reusing others’ research data is becoming the norm [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

A study on formalizing the knowledge of data curation activities across different fields

Minamiyama,

Takeda,

Hayashi

et al. 2024

PLoS ONE

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In recent years, with the trend of open science, there have been many efforts to share research data on the internet. To promote research data sharing, data curation is essential to make the data interpretable and reusable. In research fields such as life sciences, earth sciences, and social sciences, tasks and procedures have been already developed to implement efficient data curation to meet the needs and customs of individual research fields. However, not only data sharing within research fields but also interdisciplinary data sharing is required to promote open science. For this purpose, knowledge of data curation across the research fields is surveyed, analyzed, and organized as an ontology in this paper. As the survey, existing vocabularies and procedures are collected and compared as well as interviews with the data curators in research institutes in different fields are conducted to clarify commonalities and differences in data curation across the research fields. It turned out that the granularity of tasks and procedures that constitute the building blocks of data curation is not formalized. Without a method to overcome this gap, it will be challenging to promote interdisciplinary reuse of research data. Based on the analysis above, the ontology for the data curation process is proposed to describe data curation processes in different fields universally. It is described by OWL and shown as valid and consistent from the logical viewpoint. The ontology successfully represents data curation activities as the processes in the different fields acquired by the interviews. It is also helpful to identify the functions of the systems to support the data curation process. This study contributes to building a knowledge framework for an interdisciplinary understanding of data curation activities in different fields.

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How do properties of data, their curation, and their funding relate to reuse?

Cited by 10 publications

References 37 publications

Understanding the value of curation: A survey of researcher perspectives of data curation services from six US institutions

Understanding the value of curation: A survey of researcher perspectives of data curation services from six US institutions

The interdependence of data producers and data users: How researchers’ behaviors can support or hinder each other

A study on formalizing the knowledge of data curation activities across different fields

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