Open-data practices and challenges among early-career paleo-researchers

Koch, Alexander; Glover, Katherine; Zambri, Brian; Thomas, EK; Benito, Xavier; Yang, Jin Long

doi:10.22498/pages.26.2.54

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unique dataset identifiers could, in turn, be adopted to track data reuse and credit the authors ( Pierce et al 2019 ). Normalizing these practices begins with data stewardship training to highlight resources (e.g., https://fairsharing.org ) and community standards (e.g., Biodiversity Information Standards, https://www.tdwg.org ) when managing paleobiological data ( Koch et al 2018 ; Seltmann et al 2018 ; Stall et al 2018 ; Krimmel et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Challenges and directions in analytical paleobiology

Dillon

Dunne

Womack³

et al. 2023

Paleobiology

View full text Add to dashboard Cite

Over the last 50 years, access to new data and analytical tools has expanded the study of analytical paleobiology, contributing to innovative analyses of biodiversity dynamics over Earth's history. Despite—or even spurred by—this growing availability of resources, analytical paleobiology faces deep-rooted obstacles that stem from the need for more equitable access to data and best practices to guide analyses of the fossil record. Recent progress has been accelerated by a collective push toward more collaborative, interdisciplinary, and open science, especially by early-career researchers. Here, we survey four challenges facing analytical paleobiology from an early-career perspective: (1) accounting for biases when interpreting the fossil record; (2) integrating fossil and modern biodiversity data; (3) building data science skills; and (4) increasing data accessibility and equity. We discuss recent efforts to address each challenge, highlight persisting barriers, and identify tools that have advanced analytical work. Given the inherent linkages between these challenges, we encourage discourse across disciplines to find common solutions. We also affirm the need for systemic changes that reevaluate how we conduct and share paleobiological research.

show abstract

Section: Introductionmentioning

confidence: 99%

Challenges and directions in analytical paleobiology

Dillon

Dunne

Womack³

et al. 2023

Paleobiology

View full text Add to dashboard Cite

show abstract

“…This evolving character along with the long-term sustainability problems contributes to the lack of evaluation of these programs in their impact on ECs and data cultures. Exploratory qualitative studies have shown, though, that the challenges of acculturating ECs into open and transdisciplinary data cultures are associated with the rigid academic reward system, ECs' unfamiliarity with the changing community norms, and lack of training and support (Koch et al, 2018;Nicholas et al, 2019). How can interdisciplinary acculturation help to develop skills to thrive in data-intensive environments, while learning to appreciate epistemic diversity and different types of data?…”

Section: Introductionmentioning

confidence: 99%

Fostering Interdisciplinary Data Cultures through Early Career Development: The RDA/US Data Share Fellowship

Kouper

Scheidt

Plale

2021

CODATA

View full text Add to dashboard Cite

Openness and interdisciplinarity in research and data are among the challenges that are frequently discussed in the context of changing scientific and scholarly practices. Gradually, the visions of open and widely shared data are being reconciled with complex realities that stem from the disciplinary differences in data cultures. In this paper we discuss interdisciplinarity through data as a way to create research environments that are more flexible and, as a result, more amenable to change. We report our findings from facilitating and evaluating a data-oriented early-career fellowship program that was administered as part of the Research Data Alliance (RDA), a global organization that aims to enable open sharing and re-use of data. We identify ways to foster interdisciplinary data cultures among the future researchers and professionals and propose recommendations for future programs. While the short-term early career programs cannot address the systemic factors that impact openness and interdisciplinarity, such as the systems of reward and recognition or the funding structures, they can introduce mechanisms that support diversity, learning, and leadership and, ultimately, contribute to a culture change.

show abstract