Archives des mots-clés : research data

Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits

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Author : Andrea K. Thomer

Scientifically significant sites are the source of, and long-term repository for, considerable amounts of data—particularly in the natural sciences. However, the unique data practices of the researchers and resource managers at these sites have been relatively understudied.

Through case studies of two scientifically significant sites (the hot springs at Yellowstone National Park and the fossil deposits at the La Brea Tar Pits), I developed rich descriptions of site-based research and data curation, and high-level data models of information classes needed to support integrative data reuse.

Each framework treats the geospatial site and its changing natural characteristics as a distinct class of information; more commonly considered information classes such as observational and sampling data, and project metadata, are defined in relation to the site itself.

This work contributes (a) case studies of the values and data needs for researchers and resource managers at scientifically significant sites, (b) an information framework to support integrative reuse at these sites, and (c) a discussion of data practices at scientifically significant sites.

URL : Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits

DOI : https://doi.org/10.1002/asi.24620

Research data management systems and the organization of universities and research institutes: A systematic literature review

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Author : Eva Katharina Donner

New technological developments, the availability of big data, and the creation of research platforms open a variety of opportunities to generate, store, and analyze research data. To ensure the sustainable handling of research data, the European Commission as well as scientific commissions have recently highlighted the importance of implementing a research data management system (RDMS) in higher education institutes (HEI) which combines technical as well as organizational solutions.

A deep understanding of the requirements of research data management (RDM), as well as an overview of the different stakeholders, is a key prerequisite for the implementation of an RDMS.

Based on a scientific literature review, the aim of this study is to answer the following research questions: “What organizational factors need to be considered when implementing an RDMS? How do these organizational factors interact with each other and how do they constrain or facilitate the implementation of an RDMS?”

The structure of the analysis is built on the four components of Leavitt’s classical model of organizational change: task, structure, technology, and people. The findings reveal that the implementation of RDMS is strongly impacted by the organizational structure, infrastructure, labor culture as well as strategic considerations.

Overall, this literature review summarizes different approaches for the implementation of an RDMS. It also identifies areas for future research.

URL : Research data management systems and the organization of universities and research institutes: A systematic literature review

DOI : https://doi.org/10.1177%2F09610006211070282

Bringing All the Stakeholders to the Table: A Collaborative Approach to Data Sharing

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Authors : Megan N. O’Donnell, Curtis Brundy

Objective

This paper examines a unique data set disclosure process at a medium sized, land grant, research university and the campus collaboration that led to its creation.

Methods

The authors utilized a single case study methodology, reviewing relevant documents and workflows. As first-hand participants in the collaboration and disclosure process development, their own accounts and experiences also were utilized.

Results

A collaborative approach to enhancing research data sharing is essential, considering the wide array of stakeholders involved across the life cycle of research data. A transparent, inclusive data set disclosure process is a viable route to ensuring research data can be appropriately shared.

Conclusions

Successful sharing of research data impacts a range of university units and individuals. The establishment of productive working relationships and trust between these stakeholders is critical to expanding the sharing of research data and to establishing shared workflows.

URL : Bringing All the Stakeholders to the Table: A Collaborative Approach to Data Sharing

DOI : https://doi.org/10.7191/jeslib.2022.1224

La Science Ouverte à l’Université de Lorraine : bilan des actions entreprises et enjeux pour l’avenir

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Auteurs.trices/Authors : Laetitia Bracco, Julien Brancher, Nicolas Fressengeas, Lylette Lacôte-Gabrysiak, Andreas Gutsfeld, Rudy Hahusseau, Thomas Jouneau, Celia Lentretien, Jean-François Lutz, Frédéric Villiéras

Le présent document se propose de retracer succinctement les actions entreprises par l’Université de Lorraine dans le cadre de sa politique Science Ouverte, elle-même dans les pas du premier Plan National pour la Science Ouverte de 2018 (PNSO1), puis d’esquisser les grands enjeux en la matière pour l’établissement, s’inspirant pour ce faire du deuxième Plan National pour le Science Ouverte, publié en 2021 (PNSO2), des initiatives de la Commission Européenne et de la récente recommandation de l’Unesco.

La première partie présentera donc le bilan des réalisations, en le structurant via les grands axes du PNSO1 ; tout comme la deuxième partie, qui s’efforcera d’anticiper les grands enjeux pour les années à venir, aidée en cela par le PNSO2 dont elle adopte la structuration.

URL : https://hal.univ-lorraine.fr/hal-03554958

Barriers to Full Participation in the Open Science Life Cycle among Early Career Researchers

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Authors : Natasha J. Gownaris, Koen Vermeir, Martin-Immanuel Bittner, Lasith Gunawardena, Sandeep Kaur-Ghumaan, Robert Lepenies, Godswill Ntsomboh Ntsefong, Ibrahim Sidi Zakari

Open science (OS) is currently dominated by a small subset of practices that occur late in the scientific process. Early career researchers (ECRs) will play a key role in transitioning the scientific community to more widespread use of OS from pre-registration to publication, but they also face unique challenges in adopting these practices. Here, we discuss these challenges across the OS life cycle.

Our essay relies on the published literature, an informal survey of 32 ECRs from 14 countries, and discussions among members of the Global Working Group on Open Science (Global Young Academy and National Young Academies).

We break the OS life cycle into four stages—study design and tracking (pre-registration, open processes), data collection (citizen science, open hardware, open software, open data), publication (open access publishing, open peer review, open data), and outreach (open educational resources, citizen science)—and map potential barriers at each stage.

The most frequently discussed barriers across the OS life cycle were a lack of awareness and training, prohibitively high time commitments, and restrictions and/or a lack of incentives by supervisors.

We found that OS practices are highly fragmented and that awareness is particularly low for OS practices that occur during the study design and tracking stage, possibly creating ‘path-dependencies’ that reduce the likelihood of OS practices at later stages.

We note that, because ECRs face unique barriers to adopting OS, there is a need for specifically targeted policies such as mandatory training at the graduate level and promotion incentives.

URL : Barriers to Full Participation in the Open Science Life Cycle among Early Career Researchers

DOI : http://doi.org/10.5334/dsj-2022-002

The Data Life Aquatic: Oceanographers’ Experience with Interoperability and Re-usability: Oceanographers’ Experience with Interoperability and Re-usability

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Authors : Bradley Wade Bishop, Carolyn F Hank, Joel T Webster

This paper assesses data consumers’ perspectives on the interoperable and re-usable aspects of the FAIR Data Principles. Taking a domain-specific informatics approach, ten oceanographers were asked to think of a recent search for data and describe their process of discovery, evaluation, and use.

The interview schedule, derived from the FAIR Data Principles, included questions about the interoperability and re-usability of data. Through this critical incident technique, findings on data interoperability and re-usability give data curators valuable insights into how real-world users access, evaluate, and use data.

Results from this study show that oceanographers utilize tools that make re-use simple, with interoperability seamless within the systems used. The processes employed by oceanographers present a good baseline for other domains adopting the FAIR Data Principles.

URL : The Data Life Aquatic: Oceanographers’ Experience with Interoperability and Re-usability: Oceanographers’ Experience with Interoperability and Re-usability

DOI : https://doi.org/10.2218/ijdc.v16i1.635