Étiquette : research data

Catégories
EN

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

Catégories
EN

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

Catégories
EN

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

Catégories
EN

The research data life cycle, legacy data, and dilemmas in research data management

Authors : Jenny Bossaller, Anthony J. Million

This paper presents findings from an interview study of research data managers in academic data archives. Our study examined policies and professional autonomy with a focus on dilemmas encountered in everyday work by data managers.

We found that dilemmas arose at every stage of the research data lifecycle, and legacy data presents particularly vexing challenges. The iFields’ emphasis on knowledge organization and representation provides insight into how data, used by scientists, are used to create knowledge.

The iFields’ disciplinary emphasis also encompasses the sociotechnical complexity of dilemmas that we found arise in research data management. Therefore, we posit that iSchools are positioned to contribute to data science education by teaching about ethics and infrastructure used to collect, organize, and disseminate data through problem-based learning.

URL : The research data life cycle, legacy data, and dilemmas in research data management

DOI : https://doi.org/10.1002/asi.24645

Catégories
EN

Assessing Open Science Practices in Phytolith Research

Author : Emma Karoune

Open science is an integral part of all scientific research, but the extent of open science practices in phytolith research is unknown. Phytolith analysis examines silica bodies that are initially formed within and between plant cells during the life of the plant but become deposited in sediments once the plant dies.

The use of phytoliths in archaeobotanical and palaeoecological studies has been increasing in recent years resulting in an upsurge in publications. The aims of this article are to assess open science practices in phytolith research by reviewing data and metadata sharing, and open access, in a sample of journal articles containing primary phytolith data from 16 prominent archaeological and palaeoecological journals (341 articles).

This study builds on similar studies conducted for zooarchaeology (Kansa et al. 2020) and macro-botanical remains (Lodwick 2019). This study shows that 53% of papers shared data in any format but only 4% of papers contained reusable data, 74% included some pictures of phytolith morphotypes for identification purposes, 69% had a fully described method, 47% used the International code for phytolith nomenclature (ICPN 1.0) and only 13% of articles were open access.

Steps forward are then proposed, including planning for open projects, making more articles openly accessible and implementing the FAIR data principles, to use as a starting point for discussions in the wider phytolith and archaeological communities to develop guidelines for greater integration of open science practices.

URL : Assessing Open Science Practices in Phytolith Research

DOI : http://doi.org/10.5334/oq.88

Catégories
EN

Extraction and validation of scientific data for the identification of publications in open access journals

Authors : Patrícia Mascarenhas Dias, Thiago Magela Rodrigues Dias, Gray Farias Moita, Adilson Luiz Pinto

This work aims to identify articles published in open access journals registered in the Lattes Platform curricula. Currently, the curricular data from the Lattes Platform has been the source of several studies that adopt bibliometric metrics to understand scientific evolution in Brazil. However, when registering a publication in a curriculum, only basic information from the magazine is informed.

Therefore, to quantify the publications made in open access journals, a strategy is proposed that uses data from the Directory of Open Access Journals, validating the publications and, thus, obtaining a process that allows identifying which publications were made in this communication format.

Therefore, using the proposed methodology, which has a low computational cost, it was possible to quantify in an unprecedented way the publications of Brazilians in open access journals registered in the curricula of the Lattes Platform.

In addition, having the authors’ data of the publications, it was possible to understand how these authors are geographically distributed in the country, what their areas of operation are and how they have published the results of their research in open access.

It is noteworthy that they are generally published in Portuguese and English. Over the last few years, the representativeness of publications in open access journals has increased.

URL : Extraction and validation of scientific data for the identification of publications in open access journals

DOI : https://doi.org/10.1590/2318-0889202234e210040

Catégories
EN

To protect and to serve: developing a road map for research data management services

Authors: Andrea Chiarelli, Neil Beagrie, Lotte Boon, Ruth Mallalieu, Rob Johnson, Amy Warner May, Rowan Wilso

Research Data Management (RDM) has become a major issue for universities over the last decade. This case study outlines the review of RDM services carried out at the University of Oxford in partnership with external consultants between November 2019 and November 2020.

It aims to describe and discuss the processes in undertaking a university-wide review of services supporting RDM and developing a future road map for them, with a strong emphasis on the design processes, methodological approaches and infographics used. The future road map developed is a live document, which the consulting team handed over to the University at the end of the consultation process.

It provides a suggested RDM action plan for the University that will continue to evolve and be iterated in the light of additional internal costings, available resources and reprioritization in the budget cycle for each academic year.

It is hoped that the contents of this case study will be useful to other research-intensive universities with an interest in developing and planning RDM services to support their researchers.

URL : To protect and to serve: developing a road map for research data management services

DOI : http://doi.org/10.1629/uksg.566