research data – Page 19 – InfoDoc MicroVeille

Ouverture des données de la recherche : les mutations juridiques récentes

Posté le 22 septembre 2020 par Hans Dillaerts

Auteurs/Authors : Anne-Laure Stérin, Camille Noûs

Il est devenu « obligatoire » d’ouvrir les données de la recherche, ou plus précisément, certaines données de la recherche. Cette démarche d’ouverture suppose de mener, en amont du projet de recherche, une analyse fine et rigoureuse des données à collecter, avant de déterminer celles qui seront à ouvrir, et les modalités de leur ouverture (« aussi ouvertes que possible, aussi fermées que nécessaire »). Cette entreprise nécessite de faire collaborer des compétences diverses et d’y consacrer des moyens.

DOI : https://doi.org/10.4000/traces.10603

Models for Engaging Liaisons in Research Data Services

Posté le 12 septembre 2020 par Hans Dillaerts

Authors : Megan Sapp Nelson, Abigail Goben

Research data services in academic libraries is often perceived as the purview of liaison librarians. A variety of models has emerged by which these services may be developed or implemented.

These include hierarchical models and those based more on individual interest. Of critical importance with any model, however, is the identification of support and opportunities for engagement from library administration and management in order to grow and assess the implementation of research data services.

URL : Models for Engaging Liaisons in Research Data Services

DOI : https://doi.org/10.7710/2162-3309.2382

Research methodology and characteristics of journal articles with original data, preprint articles and registered clinical trial protocols about COVID-19

Posté le 3 septembre 2020 par Hans Dillaerts

Authors : Mahir Fidahic, Danijela Nujic, Renata Runjic, Marta Civljak, Zvjezdana Lovric Makaric, Livia Puljak

Background

The research community reacted rapidly to the emergence of COVID-19. We aimed to assess characteristics of journal articles, preprint articles, and registered trial protocols about COVID-19 and its causal agent SARS-CoV-2.

Methods

We analyzed characteristics of journal articles with original data indexed by March 19, 2020, in World Health Organization (WHO) COVID-19 collection, articles published on preprint servers medRxiv and bioRxiv by April 3, 2010.

Additionally, we assessed characteristics of clinical trials indexed in the WHO International Clinical Trials Registry Platform (WHO ICTRP) by April 7, 2020.

Results

Among the first 2118 articles on COVID-19 published in scholarly journals, 533 (25%) contained original data. The majority was published by authors from China (75%) and funded by Chinese sponsors (75%); a quarter was published in the Chinese language.

Among 312 articles that self-reported study design, the most frequent were retrospective studies (N = 88; 28%) and case reports (N = 86; 28%), analyzing patients’ characteristics (38%). Median Journal Impact Factor of journals where articles were published was 5.099.

Among 1088 analyzed preprint articles, the majority came from authors affiliated in China (51%) and were funded by sources in China (46%). Less than half reported study design; the majority were modeling studies (62%), and analyzed transmission/risk/prevalence (43%).

Of the 927 analyzed registered trials, the majority were interventional (58%). Half were already recruiting participants. The location for the conduct of the trial in the majority was China (N = 522; 63%).

The median number of planned participants was 140 (range: 1 to 15,000,000). Registered intervention trials used highly heterogeneous primary outcomes and tested highly heterogeneous interventions; the most frequently studied interventions were hydroxychloroquine (N = 39; 7.2%) and chloroquine (N = 16; 3%).

Conclusions

Early articles on COVID-19 were predominantly retrospective case reports and modeling studies. The diversity of outcomes used in intervention trial protocols indicates the urgent need for defining a core outcome set for COVID-19 research.

Chinese scholars had a head start in reporting about the new disease, but publishing articles in Chinese may limit their global reach. Mapping publications with original data can help finding gaps that will help us respond better to the new public health emergency.

URL : Research methodology and characteristics of journal articles with original data, preprint articles and registered clinical trial protocols about COVID-19

DOI : https://doi.org/10.1186/s12874-020-01047-2

FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles

Posté le 26 août 2020 par Hans Dillaerts

Authors : Romain David, Laurence Mabile, Alison Specht, Sarah Stryeck, Mogens Thomsen, Mohamed Yahia, Clement Jonquet, Laurent Dollé, Daniel Jacob, Daniele Bailo, Elena Bravo, Sophie Gachet, Hannah Gunderman, Jean-Eudes Hollebecq, Vassilios Ioannidis, Yvan Le Bras, Emilie Lerigoleur, Anne Cambon-Thomsen, The Research Data Alliance – SHAring Reward and Credit (SHARC) Interest Group

The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing.

This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation.

It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria – i.e., promoting FAIRness literacy – and not only the machine-readability of the criteria, are critical steps in the data sharing process.

Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This paper reports on the lessons learned from the RDA SHARC Interest Group on identifying the processes required to prepare FAIR implementation in various communities not specifically data skilled, and on the procedures and training that must be deployed and adapted to each practice and level of understanding.

These are essential milestones in developing adapted support and credit back mechanisms not yet in place.

URL : FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles

DOI : http://doi.org/10.5334/dsj-2020-032

Research Data Management for Master’s Students: From Awareness to Action

Posté le 9 août 2020 par Hans Dillaerts

Authors: Daen Adriaan Ben Smits, Marta Teperek

This article provides an analysis of how sixteen recently graduated master’s students from the Netherlands perceive research data management. It is important to study the master’s students’ attitudes towards this, as students in this phase prepare themselves for their career. Some of them might become future academics or policymakers, thus, potentially, the future advocates of good data management and reproducible science.

In general, students were rather unsure what ‘data management’ meant and would often confuse it with data analysis, study design or methodology, or ethics and privacy. When students defined the concept, they focussed on privacy aspects. Concepts such as open data and the ‘FAIR’ principles were rarely mentioned, even though these are the cornerstones of contemporary data management efforts.

In practice, the students managed their own data in an ad hoc way, and only a few of them worked with a clear data management plan. Illustrative of this is that half of the interviewees did not know where to find their data anymore. Furthermore, their study programmes had diverse approaches to data management education.

Most of the classes offered were limited in scope. Nevertheless, the students seemed to be aware of the importance of data management and were willing to learn more about good data management practices.

This report helps to catch an important first glimpse of how master’s students (from different scientific backgrounds) think about research data management. Only by knowing this, accurate measures can be taken to improve data management awareness and skills.

The article also provides some useful recommendations on what such measures might be, and introduces some of the steps already taken by the Delft University of Technology (TU Delft).

URL : Research Data Management for Master’s Students: From Awareness to Action

DOI : http://doi.org/10.5334/dsj-2020-030

Foundational Practices of Research Data Management

Posté le 3 août 2020 par Hans Dillaerts

Authors : Kristin A Briney, Heather Coates, Abigail Goben

The importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity.

Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-consuming.

By implementing foundational practices of data management, researchers set themselves up for success by formalizing processes and reducing common errors in data handling, which can free up more time for research. This paper provides an introduction to best practices for managing all types of data.

URL : Foundational Practices of Research Data Management

DOI : https://doi.org/10.3897/rio.6.e56508