Étiquette : data sharing

Publié le

Practices Before Policy: Research Data Management Behaviours in Canada

Authors : Melissa Cheung, Alexandra Cooper, Dylanne Dearborn, Elizabeth Hill, Erin Johnson, Marjorie Mitchell, Kristi Thompson

In anticipation of the then forthcoming Tri-Agency Research Data Management Policy, a consortium of professionals from Canadian university libraries surveyed researchers on their research data management (RDM) practices, attitudes, and interest in data management services.

Data collected from three surveys targeting researchers in science and engineering, humanities and social sciences, and health sciences and medicine were compiled to create a national dataset.

The present study is the first large-scale survey investigating researcher RDM practices in Canada, and one of the few recent multi-institutional and multidisciplinary surveys on this topic.

This article presents the results of the survey to assess researcher readiness to meet RDM policy requirements, namely the preparation of data management plans (DMPs) and data deposit in a digital repository.

The survey results also highlight common trends across the country while revealing differences in practices and attitudes between disciplines. Based on our survey results, most researchers would have to change their RDM behaviors to meet Tri-Agency RDM policy requirements.

The data we gathered provides insights that can help institutions prioritize service development and infrastructure that will meet researcher needs.

URL : Practices Before Policy: Research Data Management Behaviours in Canada

DOI : https://doi.org/10.21083/partnership.v17i1.6779

Publié le

Open research data: A case study into institutional and infrastructural arrangements to stimulate open research data sharing and reuse

Authors : Thijmen van Gend, Anneke Zuiderwijk

This study investigates which combination of institutional and infrastructural arrangements positively impact research data sharing and reuse in a specific case. We conducted a qualitative case study of the institutional and infrastructural arrangements implemented at Delft University of Technology in the Netherlands.

In the examined case, it was fundamental to change the mindset of researchers and to make them aware of the benefits of sharing data. Therefore, arrangements should be designed bottom-up and used as a “carrot” rather than as a “stick.” Moreover, support offered to researchers should cover at least legal, financial, administrative, and practical issues of research data management and should be informal in nature.

Previous research describes generic institutional and infrastructural instruments that can stimulate open research data sharing and reuse. This study is among the first to analyze what and how infrastructural and institutional arrangements work in a particular context. It provides the basis for other scholars to study such arrangements in different contexts.

Open data policymakers, universities, and open data infrastructure providers can use our findings to stimulate data sharing and reuse in practice, adapted to the contextual situation. Our study focused on a single case and a particular part of the university.

We recommend repeating this research in other contexts, that is, at other universities, faculties, and involving other research data infrastructure providers.

URL : Open research data: A case study into institutional and infrastructural arrangements to stimulate open research data sharing and reuse

DOI : https://doi.org/10.1177/09610006221101200

Publié le

The Role of Data in an Emerging Research Community : Environmental Health Research as an Exemplar

Authors : Danielle Polloc, An Yan, Michelle Parker, Suzie Allard

Open science data benefit society by facilitating convergence across domains that are examining the same scientific problem. While cross-disciplinary data sharing and reuse is essential to the research done by convergent communities, so far little is known about the role data play in how these communities interact.

An understanding of the role of data in these collaborations can help us identify and meet the needs of emerging research communities which may predict the next challenges faced by science. This paper represents an exploratory study of one emerging community, the environmental health community, examining how environmental health research groups form, collaborate, and share data.

Five key insights about the role of data in emerging research communities are identified and suggestions are made for further research.

URL : The Role of Data in an Emerging Research Community : Environmental Health Research as an Exemplar

DOI : https://doi.org/10.2218/ijdc.v16i1.653

Publié le

Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences

Authors : Pavel Vazquez, Kayoko Hirayama-Shoji, Steffen Novik, Stefan Krauss, Simon Rayner

Motivation

Technical advances have revolutionized the life sciences and researchers commonly face challenges associated with handling large amounts of heterogeneous digital data. The Findable, Accessible, Interoperable and Reusable (FAIR) principles provide a framework to support effective data management.

However, implementing this framework is beyond the means of most researchers in terms of resources and expertise, requiring awareness of metadata, policies, community agreements, and other factors such as vocabularies and ontologies.

Results

We have developed the Globally Accessible Distributed Data Sharing (GADDS) platform to facilitate FAIR-like data-sharing in cross-disciplinary research collaborations. The platform consists of (i) a blockchain based metadata quality control system, (ii) a private cloud-like storage system and (iii) a version control system. GADDS is built with containerized technologies, providing minimal hardware standards and easing scalability, and offers decentralized trust via transparency of metadata, facilitating data exchange and collaboration.

As a use case, we provide an example implementation in engineered living material technology within the Hybrid Technology Hub at the University of Oslo.

URL : Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences

DOI : https://doi.org/10.1093/bioinformatics/btac362

Publié le

Open Access in Geochemistry from Preprints to Data Sharing: Past, Present, and Future

Authors : Olivier Pourret, Dasapta Erwin Irawan

In this short communication, we discuss the latest advances regarding Open Access in the earth sciences and geochemistry community from preprints to findable, accessible, interoperable, and reusable data following the 14f session held at Goldschmidt conference (4–9 July 2021) dedicated to “Open Access in Earth Sciences”.

URL : Open Access in Geochemistry from Preprints to Data Sharing: Past, Present, and Future

DOI : https://doi.org/10.3390/publications10010003

Publié le

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

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

Publié le

Dissimuler ou disséminer ? Une étude sur le sort réservé aux résultats négatifs

Auteures/Authors : Marie-Emilia Herbet, Jérémie Leonard, Maria Santangelo, Lucie Albaret

Une enquête composée de 34 questions a été adressée à des chercheurs en chimie, physique, sciences de l’ingénieur et de l’environnement, en vue d’identifier leur rapport aux résultats de recherche infructueux ainsi que les freins et les leviers de leur diffusion.

L’étude se fonde sur 310 réponses complètes émanant de participants affiliés à des établissements de recherche et d’enseignement français. Menée dans le cadre du projet Datacc, porté par les bibliothèques universitaires de Lyon et Grenoble Alpes, engagées dans l’accompagnement des chercheurs à l’ouverture des données de recherche, notre étude permet de combler le déficit de données sur le sujet au regard des disciplines concernées.

Elle relève que 81% des chercheurs interrogés ont déjà produit des résultats négatifs pertinents et 75% se disent prêts à publier ce type de données. Pourtant, seuls 12,5% des répondants ont déjà eu l’occasion de le faire dans une revue scientifique. Ce contraste béant entre l’intention et la pratique soulève des interrogations sur les obstacles en présence et les solutions potentielles à apporter.

URL : Dissimuler ou disséminer ? Une étude sur le sort réservé aux résultats négatifs

Original location : https://hal.archives-ouvertes.fr/hal-03371040