scholarly journals Managing Data and Statistical Code According to the FAIR Principles

Keyword(s):  
2020 ◽  
Vol 59 (04/05) ◽  
pp. 117-118
Author(s):  
Carlos Luis Parra-Calderón ◽  
Ferran Sanz ◽  
Leslie D. McIntosh

Semantic Web ◽  
2020 ◽  
pp. 1-16
Author(s):  
Francesco Beretta

This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the symogih.org project’s ontology, it proposes a description of the essential aspects of the process of historical knowledge production. It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research.


2020 ◽  
Vol 7 ◽  
Author(s):  
Sabine Schmidt ◽  
Gilbert Maudire ◽  
Cécile Nys ◽  
Joël Sudre ◽  
Valérie Harscoat ◽  
...  

The past few decades have seen a marked acceleration in the amount of marine observation data derived using both in situ and remote sensing measurements. For example, high-frequency monitoring of key physical-chemical parameters has become an essential tool for assessing natural and human-induced changes in coastal waters as well as their consequences on society. The number and variety of data acquisition techniques require efficient methods of improving data availability. The challenge is to make ocean data available via interoperable portals, which facilitate data sharing according to Findable, Accessible, Interoperable, and Reusable (FAIR) principles for producers and users. Ocean DAta Information and Services (ODATIS) aims to become a unique gateway to all French marine data, regardless of the discipline (e.g., physics, chemistry, biogeochemistry, biology, sedimentology). ODATIS is the ocean cluster of the Data Terra research infrastructure for Earth data, which relies on a network of data and service centers (DSC) supported by the major French oceanic research organizations (CNRS, CNES, Ifremer, IRD, SHOM; Marine Universities). ODATIS, through its components, is involved in European and international initiatives such as Copernicus, SeaDataCloud, and EMODnet. The first challenge of ODATIS is to catalog all open ocean and coastal data and facilitate data collection and access (discovery, visualization, extraction) through its web portal. A specific task is to develop tools for handling large amounts of data and generate products for policymakers, practitioners, and academics. This study presents the strategy used by ODATIS to implement the FAIR and CoreTrustSeal requirements in each of its DSCs and promote adherence within the scientific community (the main data producer) regarding the upload and/or use of data and suggestion of new products. A second challenge is to cover the end-user needs ranging from proximity to the producer to cross-analysis of data from all Earth compartments. This involves defining and organizing a classification of DSCs in the network, which will be developed within the framework of the French Data Terra research infrastructure, the only framework capable of providing the necessary IT and human resources.


2018 ◽  
Vol 25 (12) ◽  
pp. 1608-1617 ◽  
Author(s):  
Willem G van Panhuis ◽  
Anne Cross ◽  
Donald S Burke

Abstract Objective In 2013, we released Project Tycho, an open-access database comprising 3.6 million counts of infectious disease cases and deaths reported for over a century by public health surveillance in the United States. Our objective is to describe how Project Tycho version 1 (v1) data has been used to create new knowledge and technology and to present improvements made in the newly released version 2.0 (v2). Materials and Methods We analyzed our user database and conducted online searches to analyze the use of Project Tycho v1 data. For v2, we added new US data and dengue data for other countries, and grouped data into 360 datasets, each with a digital object identifier and rich metadata. In addition, we used standard vocabularies to encode data where possible, improving compliance with FAIR (findable, accessible, interoperable, reusable) guiding principles for data management. Results Since release, 3174 people have registered to use Project Tycho data, leading to 18 new peer-reviewed papers and 27 other creative works, such as conference papers, student theses, and software applications. Project Tycho v2 comprises 5.7 million counts of infectious diseases in the United States and of dengue-related conditions in 98 additional countries. Discussion Project Tycho v2 contributes to improving FAIR compliance of global health data, but more work is needed to develop community-accepted standard representations for global health data. Conclusion FAIR principles are a valuable guide for improving the integration and reuse of data in global health to improve disease control and save lives.


2019 ◽  
Vol 46 (8) ◽  
pp. 622-638
Author(s):  
Joachim Schöpfel ◽  
Dominic Farace ◽  
Hélène Prost ◽  
Antonella Zane

Data papers have been defined as scholarly journal publications whose primary purpose is to describe research data. Our survey provides more insights about the environment of data papers, i.e., disciplines, publishers and business models, and about their structure, length, formats, metadata, and licensing. Data papers are a product of the emerging ecosystem of data-driven open science. They contribute to the FAIR principles for research data management. However, the boundaries with other categories of academic publishing are partly blurred. Data papers are (can be) generated automatically and are potentially machine-readable. Data papers are essentially information, i.e., description of data, but also partly contribute to the generation of knowledge and data on its own. Part of the new ecosystem of open and data-driven science, data papers and data journals are an interesting and relevant object for the assessment and understanding of the transition of the former system of academic publishing.


2020 ◽  
Author(s):  
Xavier Martinez ◽  
Marc Baaden

AbstractMotivated by the current Covid-19 pandemic that has spurred a substantial flow of structural data we describe how molecular visualization experiences can be used to make these datasets accessible to a broad audience. Using a variety of technology vectors related to the cloud, 3D- and virtual reality gear, we examine how to share curated visualizations of structural biology, modeling and/or bioinformatics datasets for interactive and collaborative exploration. We discuss F.A.I.R. as overarching principle for sharing such visualizations. We provide four initial example scenes related to recent Covid-19 structural data together with a ready-to-use (and share) implementation in the UnityMol software.SynopsisVisualization renders structural molecular data accessible to a broad audience. We describe an approach to share molecular visualization experiences based on FAIR principles. Our workflow is exemplified with recent Covid-19 related data.


2018 ◽  
Vol 10 (2) ◽  
pp. 197-125
Author(s):  
Zuhraini Zuhraini

The interpretation of the Qur'an is often disputed. The terms of custom, culture and ideology is not one thing that descends from the sky. It is shaped by humans and socialized from one generation to other. Biological determinism has also reinforced the view. In such situations, the differences, discrimination, and injustice resulting from mistakes in understanding and interpreting the universal doctrine, create injustices against women, including the women’s rights and position in Lampung Sebatin customary law community. This article discusses the rights and position of women in Lampung Sebatin customary law community and the form of injustice for women in the society. The conclusion shows that, firstly, women's rights and position in Lampang Sebatin customary law community are far from fair principles. Not fair either in marriage law or inheritance law. Second, the form of injustice for women in indigenous communities of Lampung Sebatin, from gender analysis is marginalization, penomorduaan and labeling, violence, and excessive workload. 


2019 ◽  
Author(s):  
Lisa Schilhan ◽  
Christian Kaier

In times of an ever-increasing information overload, Academic Search Engine Optimization (ASEO) supports findability of relevant information and contributes to the FAIR principles. It enhances efficiency in literature and data search and therefore plays an increasing role in the research lifecycle. ASEO is an important aspect to consider when preparing a scientific manuscript for publication. Authors can increase the visibility of their papers in library catalogues, databases, repositories and search engines with simple measures like choosing informative author keywords. The more (meta-)data these search algorithms can use, the higher the probability that a data set or paper will show up in a result list. ASEO enables search algorithms and readers to quickly and unambiguously identify relevant content, thus also helping institutions to increase research visibility. In addition, authors and publishers share an interest in describing content in a way that makes it easy to find it. Librarians, with their extensive knowledge and wealth of experience in literature research and metadata management such as keyword assignment, can provide valuable advice on the role of as correct and complete metadata as possible and on suitable keywords for search algorithms. For this reason, the Publication Services at Graz University Library have recently started offering training and workshops for authors. The presentation will provide an introduction into strategies to enhance visibility and findability of online content, such as research articles, with some theoretical background as well as practical examples.


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