The Italian Node of the European Integrated Data Archive

2021 ◽  
Vol 92 (3) ◽  
pp. 1726-1737 ◽  
Author(s):  
Peter Danecek ◽  
Stefano Pintore ◽  
Salvatore Mazza ◽  
Alfonso Mandiello ◽  
Massimo Fares ◽  
...  
Keyword(s):  
Service Management ◽  
Open Data ◽  
Data Availability ◽  
Data Archive ◽  
Waveform Data ◽  
Data Archiving ◽  
Seismological Data ◽  
Fair Principles ◽  
Key Aspects ◽  
Management Capabilities

Abstract The Orfeus European Integrated Data Archive (EIDA) provides a federated approach to the dissemination of seismological waveform data and ensures access to 12 regional seismological data centers—the EIDA nodes. The Istituto Nazionale di Geofisica e Vulcanologia (INGV) is one of the founding partners of this EIDA federation and manages the EIDA data distribution node in Italy. INGV has actively managed the smaller MedNet archive since 1990 and adopted a more comprehensive and systematic approach to seismological data archiving since 2007. The Italian EIDA node data archive currently totals 90 TBytes of waveform data available for download, originating from 25 networks and 974 stations, provided by INGV, MedNet, or contributed by various partner institutions. Geographically, it covers mainly Italy and some stations from the Mediterranean region. The archive is currently growing at a rate of approximately 11 TB/yr. INGV recently strengthened its data management capabilities, resources, and infrastructure to effectively respond to the growing scale of station inventory, archive, and volumes of delivered data, and to acknowledge increasing attention toward open data sharing, appropriate attribution, and FAIR principles (Findability, Accessibility, Interoperability, and Reuse), as well as higher demands on data quality and expectations of the scientific user community. To this end, it established a dedicated internal unit in charge of all relevant activities related to the Italian EIDA node. In this article, we address key aspects of the EIDA node in Italy such as evolution and status of the seismological waveform archive, and we describe the technical, organizational, and operational setup of data and service management. We also outline ongoing activities and future evolutions aiming to further increase the quality of services, data availability, data and metadata quality, resilience, and sustainability.

scholarly journals Open Data Policies among Library and Information Science Journals

Publications ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 25
Author(s):  
Brian Jackson
Keyword(s):  
Information Science ◽  
Open Data ◽  
Research Data ◽  
Data Availability ◽  
Academic Publishing ◽  
Library And Information Science ◽  
Data Archiving ◽  
Open Research ◽  
Open Access Journals ◽  
Public Data

Journal publishers play an important role in the open research data ecosystem. Through open data policies that include public data archiving mandates and data availability statements, journal publishers help promote transparency in research and wider access to a growing scholarly record. The library and information science (LIS) discipline has a unique relationship with both open data initiatives and academic publishing and may be well-positioned to adopt rigorous open data policies. This study examines the information provided on public-facing websites of LIS journals in order to describe the extent, and nature, of open data guidance provided to prospective authors. Open access journals in the discipline have disproportionately adopted detailed, strict open data policies. Commercial publishers, which account for the largest share of publishing in the discipline, have largely adopted weaker policies. Rigorous policies, adopted by a minority of journals, describe the rationale, application, and expectations for open research data, while most journals that provide guidance on the matter use hesitant and vague language. Recommendations are provided for strengthening journal open data policies.

Seismic Waveform Data from Greece and Cyprus: Integration, Archival, and Open Access

2021 ◽  
Author(s):  
Christos P. Evangelidis ◽  
Nikolaos Triantafyllis ◽  
Michalis Samios ◽  
Kostas Boukouras ◽  
Kyriakos Kontakos ◽  
...  
Keyword(s):  
Seismic Data ◽  
Data Center ◽  
Ambient Noise ◽  
Strong Motion ◽  
Data Availability ◽  
Data Archive ◽  
Waveform Data ◽  
The Balkans ◽  
Seismic Waveform ◽  
Data Archives

Abstract The National Observatory of Athens data center for the European Integrated Data Archive (EIDA@NOA) is the national and regional node that supports International Federation of Digital Seismograph Networks and related webservices for seismic waveform data coming from the southeastern Mediterranean and the Balkans. At present, it serves data from eight permanent broadband and strong-motion networks from Greece and Cyprus, individual stations from the Balkans, temporary networks and aftershock deployments, and earthquake engineering experimental facilities. EIDA@NOA provides open and unlimited access from redundant node end points, intended mainly for research purposes (see Data and Resources). Analysis and quality control of the complete seismic data archive is performed initially by calculating waveform metrics and data availability. Seismic ambient noise metrics are estimated based on power spectral densities, and an assessment of each station’s statistical mode is achieved within each network and across networks. Moreover, the minimum ambient noise level expected for strong-motion installations is defined. Sensor orientation is estimated using surface-wave polarization methods to detect stations with misalignment on particular epochs. A single data center that hosts the complete seismic data archives with their respective metadata from networks covering similar geographical areas allows coordination between network operators and facilitates the adhesion to widely used best practices regarding station installation, data curation, and metadata definition. The overall achievement is harmonization among all contributing networks and a wider usage of all data archives, ultimately strengthening seismological research efforts in the region.

scholarly journals Data Dentistry: How Data Are Changing Clinical Care and Research

2021 ◽  
pp. 002203452110202
Author(s):  
F. Schwendicke ◽  
J. Krois
Keyword(s):  
Health Care ◽  
Data Sharing ◽  
Clinical Care ◽  
Open Data ◽  
User Interaction ◽  
Data Availability ◽  
Related Data ◽  
Data User ◽  
Regulatory Data ◽  
Consumer Data

Data are a key resource for modern societies and expected to improve quality, accessibility, affordability, safety, and equity of health care. Dental care and research are currently transforming into what we term data dentistry, with 3 main applications: 1) medical data analysis uses deep learning, allowing one to master unprecedented amounts of data (language, speech, imagery) and put them to productive use. 2) Data-enriched clinical care integrates data from individual (e.g., demographic, social, clinical and omics data, consumer data), setting (e.g., geospatial, environmental, provider-related data), and systems level (payer or regulatory data to characterize input, throughput, output, and outcomes of health care) to provide a comprehensive and continuous real-time assessment of biologic perturbations, individual behaviors, and context. Such care may contribute to a deeper understanding of health and disease and a more precise, personalized, predictive, and preventive care. 3) Data for research include open research data and data sharing, allowing one to appraise, benchmark, pool, replicate, and reuse data. Concerns and confidence into data-driven applications, stakeholders’ and system’s capabilities, and lack of data standardization and harmonization currently limit the development and implementation of data dentistry. Aspects of bias and data-user interaction require attention. Action items for the dental community circle around increasing data availability, refinement, and usage; demonstrating safety, value, and usefulness of applications; educating the dental workforce and consumers; providing performant and standardized infrastructure and processes; and incentivizing and adopting open data and data sharing.

scholarly journals Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jarbou A. Bahrawi ◽  
Mohamed Elhag ◽  
Amal Y. Aldhebiani ◽  
Hanaa K. Galal ◽  
Ahmad K. Hegazy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Saudi Arabia ◽  
Soil Erosion ◽  
Decision Support Tool ◽  
Data Availability ◽  
Productive Capacity ◽  
Support Tool ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Key Aspects

Soil erosion is one of the major environmental problems in terms of soil degradation in Saudi Arabia. Soil erosion leads to significant on- and off-site impacts such as significant decrease in the productive capacity of the land and sedimentation. The key aspects influencing the quantity of soil erosion mainly rely on the vegetation cover, topography, soil type, and climate. This research studies the quantification of soil erosion under different levels of data availability in Wadi Yalamlam. Remote Sensing (RS) and Geographic Information Systems (GIS) techniques have been implemented for the assessment of the data, applying the Revised Universal Soil Loss Equation (RUSLE) for the calculation of the risk of erosion. Thirty-four soil samples were randomly selected for the calculation of the erodibility factor, based on calculating theK-factor values derived from soil property surfaces after interpolating soil sampling points. Soil erosion risk map was reclassified into five erosion risk classes and 19.3% of the Wadi Yalamlam is under very severe risk (37,740 ha). GIS and RS proved to be powerful instruments for mapping soil erosion risk, providing sufficient tools for the analytical part of this research. The mapping results certified the role of RUSLE as a decision support tool.

German Seismic and Infrasound Networks Contributing to the European Integrated Data Archive (EIDA)

2021 ◽  
Vol 92 (3) ◽  
pp. 1854-1875 ◽  
Author(s):  
Klaus Stammler ◽  
Monika Bischoff ◽  
Andrea Brüstle ◽  
Lars Ceranna ◽  
Stefanie Donner ◽  
...  
Keyword(s):  
Information Transfer ◽  
Data Exchange ◽  
Seismic Hazard Assessment ◽  
Data Archive ◽  
Waveform Data ◽  
Level Data ◽  
Data Products ◽  
Global Seismicity ◽  
High Level ◽  
Test Ban

Abstract Germany has a long history in seismic instrumentation. The installation of the first station sites was initiated in those regions with seismic activity. Later on, with an increasing need for seismic hazard assessment, seismological state services were established over the course of several decades, using heterogeneous technology. In parallel, scientific research and international cooperation projects triggered the establishment of institutional and nationwide networks and arrays also focusing on topics other than monitoring local or regional areas, such as recording global seismicity or verification of the compliance with the Comprehensive Nuclear-Test-Ban Treaty. At each of the observatories and data centers, an extensive analysis of the recordings is performed providing high-level data products, for example, earthquake catalogs, as a base for supporting state or federal authorities, to inform the public on topics related to seismology, and for information transfer to international institutions. These data products are usually also accessible at websites of the responsible organizations. The establishment of the European Integrated Data Archive (EIDA) led to a consolidation of existing waveform data exchange mechanisms and their definition as standards in Europe, along with a harmonization of the applied data quality assurance procedures. In Germany, the German Regional Seismic Network as national backbone network and the state networks of Saxony, Saxony-Anhalt, Thuringia, and Bavaria spearheaded the national contributions to EIDA. The benefits of EIDA are attracting additional state and university networks, which are about to join the EIDA community now.

scholarly journals Streamlining Data and Service Centers for Easier Access to Data and Analytical Services: The Strategy of ODATIS as the Gateway to French Marine Data

2020 ◽  
Vol 7 ◽  
Author(s):  
Sabine Schmidt ◽  
Gilbert Maudire ◽  
Cécile Nys ◽  
Joël Sudre ◽  
Valérie Harscoat ◽  
...  
Keyword(s):  
Data Availability ◽  
Research Infrastructure ◽  
Observation Data ◽  
Use Of Data ◽  
Frequency Monitoring ◽  
Fair Principles ◽  
Marine Data ◽  
Access To Data ◽  
Analytical Services ◽  
Induced Changes

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.

scholarly journals The Open Data Challenge: An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans

2020 ◽  
Vol 2 (4) ◽  
pp. 554-568
Author(s):  
Chris Graf ◽  
Dave Flanagan ◽  
Lisa Wylie ◽  
Deirdre Silver
Keyword(s):  
Machine Learning ◽  
Data Management ◽  
Open Data ◽  
Research Data ◽  
Data Availability ◽  
Policy Changes ◽  
Management Plans ◽  
Trends Over Time ◽  
New Research ◽  
Over Time

Data availability statements can provide useful information about how researchers actually share research data. We used unsupervised machine learning to analyze 124,000 data availability statements submitted by research authors to 176 Wiley journals between 2013 and 2019. We categorized the data availability statements, and looked at trends over time. We found expected increases in the number of data availability statements submitted over time, and marked increases that correlate with policy changes made by journals. Our open data challenge becomes to use what we have learned to present researchers with relevant and easy options that help them to share and make an impact with new research data.

scholarly journals Researching visual semiotics online

2020 ◽  
Author(s):  
Jamin Pelkey
Keyword(s):  
Comparative Analysis ◽  
Data Collection ◽  
Mixed Methods Research ◽  
Open Data ◽  
Image Search ◽  
Visual Data ◽  
Data Archiving ◽  
Database Construction ◽  
Visual Semiotics ◽  
Semiotic Theory

Analyzing visual meaning online and curating digitized images are topics of increasing relevance, but many potential methodologies for doing so remain merely implicit, underthematized, or unexplored. The potential for testing and developing semiotic theory through the exploration of visual data online also requires far more careful attention. In response, this paper provides an integrated, reflexive, Peircean account of two case studies featuring research projects focused on visual data drawn primarily from sources online, relying heavily on Google Image Search as a data collection tool. The first study illustrates the comparative analysis of brand mark logos to test and refine a theory of embodied semiotics involving oppositional relations. The second study illustrates the comparative analysis of images depicting the Tibetan Wheel of Life and Yama the monster of death, in order to test the embodied grounding hypothesis for the semiotic square. Issues of hypothesis formation, research parameters, data collection, database construction, operationalization, coding parameters, open data archiving and related issues are addressed in order to further develop and encourage practices of researching visual semiotics online in the context of Digital Humanities scholarship.Keywords: Mixed-methods research. Google Image search. Visual content analysis. Semiotic theory. Semiotic methods. Peircean semiotics.

scholarly journals Methods, transparency and reporting of clinical trials in orthodontics and periodontics

2019 ◽  
Vol 46 (2) ◽  
pp. 101-109 ◽  
Author(s):  
Spyridon N Papageorgiou ◽  
Georgios N Antonoglou ◽  
Conchita Martin ◽  
Theodore Eliades
Keyword(s):  
Clinical Trials ◽  
Odds Ratio ◽  
Prospective Trial ◽  
Sample Size Calculation ◽  
Open Data ◽  
Trial Registration ◽  
Cross Sectional ◽  
Key Aspects ◽  
Adequate Sample Size ◽  
Bibliographic Study

Objective: The aim of this study was to explore the methods, reporting and transparency of clinical trials in orthodontics and compare them to the field of periodontics, as a standard within dentistry. Design/setting: Cross-sectional bibliographic study Methods: A total of 300 trials published in 2017–2018 and evenly distributed in orthodontics and periodontics were selected, assessed and analysed statistically to explore key aspects of the conduct and reporting of orthodontic clinical trials compared to trials in periodontics. Results: Several aspects are often neglected in orthodontic and periodontic trials and could be improved upon, including use of statistical expertise (22.3% of assessed trials), blinding of outcome assessors (62.3%), prospective trial registration (12.0%), adequate sample size calculation (35.7%), adherence to CONSORT (14.3%) and open data sharing (4.3%). The prevalence of statistically significant findings among orthodontic and periodontic trials was 62.3%, which was significantly associated with several methodological traits like statistician involvement (odds ratio [OR] = 0.5; 95% confidence interval [CI] = 0.3–0.9), blind outcome assessor (OR = 0.5; 95% CI = 0.2–1.0), lack of prospective trial registration (OR = 2.8; 95% CI = 1.3–5.9) and non-adherence to CONSORT (OR = 4.5; 95% CI = 1.3–15.8). Conclusions: Although trials in orthodontics seem to be significantly worse compared to periodontics in aspects like trial registration, adherence to CONSORT and declaration of competing interests or financial support, their methods do seem to have improved considerably in recent years.

scholarly journals Key Aspects of Open Data in Finnish RDI Cooperation between Higher Education and Businesses

2021 ◽  
pp. 1-13
Author(s):  
Seliina Päällysaho ◽  
Jaana Latvanen ◽  
Anttoni Lehto ◽  
Jaakko Riihimaa ◽  
Pekka Lahti ◽  
...  
Keyword(s):  
Higher Education ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
General Level ◽  
Joint Research ◽  
Research Organizations ◽  
Universities Of Applied Sciences ◽  
Key Aspects ◽  
Five Phases

The article highlights aspects that should be considered during an open research, development, and innovation (RDI) process cycle to improve the utilization of research data and foster open cooperation between higher education and businesses. The viewpoint here is in publicly funded joint research projects of the universities of applied sciences (UAS), the concept is, however, applicable in other higher education and research organizations as well. There are various challenges related to research data management in general as well as to the openness and reuse of data and results. The findings of this article are based on the results of a two-day expert workshop, and these results are interlinked with five phases of an open RDI process cycle: planning, implementation, documentation, sharing, and commercialization. Various drivers and barriers can be identified in different stages of the process. On a general level, special attention must be paid to critical factors such as ownership and sharing of data and results, confidential information and business secrets as well as following the requirements of the open science policies of the participating organizations and funders. This article also highlights several best practices that should be considered in each phase of an open RDI process cycle with businesses.

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