Tracking open access journals evolution: Some considerations in open access data collection validation

2007 ◽  
Vol 58 (11) ◽  
pp. 1578-1585 ◽  
Author(s):  
Hajar Sotudeh ◽  
Abbas Horri
Keyword(s):  
Open Access ◽  
Data Collection ◽  
Open Access Data ◽  
Open Access Journals ◽  
Access Data

scholarly journals Mapping Mangrove Opportunities with Open Access Data: A Case Study for Bangladesh

2021 ◽  
Vol 13 (15) ◽  
pp. 8212
Author(s):  
Alejandra Gijón Mancheño ◽  
Peter M. J. Herman ◽  
Sebastiaan N. Jonkman ◽  
Swarna Kazi ◽  
Ignacio Urrutia ◽  
...  
Keyword(s):  
Open Access ◽  
Data Collection ◽  
Feasibility Studies ◽  
Coastal System ◽  
Open Access Data ◽  
Coastline Change ◽  
Restoration Potential ◽  
Waves And Currents ◽  
Mangrove Development ◽  
Access Data

Mangroves protect coastal areas against hazards like storms or cyclones by attenuating waves and currents, and by trapping floating debris during extreme events. Bangladesh is a very vulnerable country to floods and cyclones, and part of its coastal system is thus being upgraded to a higher safety standard. These upgrades include embankment reinforcement and mangrove afforestation schemes seawards of the embankments. To further strengthen the implementation of combined green–grey infrastructure in future programs, identifying potential mangrove development sites near the polder systems is a necessary first step. We thus developed a tool to systematically identify mangrove sites throughout the coastal area based on open access data. This method identifies potential sites for mangrove development based on their distance from existing mangrove patches and suggests the required technique to implement the vegetation depending on the rate of coastline change. Our method showed that approximately 600 km of the coastal stretches placed seawards of embankments are within 10 km of existing mangroves, and could thus be potential sites for mangrove establishment. Out of those 600 km, we identified 140 km of coastline where the landwards polders are particularly vulnerable to flooding. The sites with highest restoration potential and priority are located in Galachipa, Hatiya, Bhola, Manpura, Khangona, and Boro Moheshkhali. More detailed data collection and local assessments are recommended prior to executing mangrove afforestation schemes. Nevertheless, this method could serve as a useful systematic tool for feasibility studies that identify mangrove opportunities in data-scarce areas and help to prioritize data collection at the sites of highest interest.

Open source riverscapes: Analyzing the river corridor of the Naryn River in Kyrgyzstan based on open access data

2021 ◽  
Author(s):  
Florian Betz ◽  
Magdalena Lauermann ◽  
Bernd Cyffka
Keyword(s):  
Remote Sensing ◽  
Open Access ◽  
Large Scale ◽  
Data Sets ◽  
Hierarchical Systems ◽  
Geomorphological Mapping ◽  
Open Access Data ◽  
Access Data ◽  
River Corridors ◽  
River Corridor

<p>In fluvial geomorphology as well as in freshwater ecology, rivers are commonly seen as nested hierarchical systems functioning over a range of spatial and temporal scales. Thus, for a comprehensive assessment, information on various scales is required. Over the past decade, remote sensing based approaches have become increasingly popular in river science to increase the spatial scale of analysis. However, data-scarce areas have been mostly ignored so far despite the fact that most remaining free flowing – and thus ecologically valuable – rivers worldwide are located in regions characterized by a lack of data sources like LiDAR or even aerial imagery. High resolution satellite data would be able to fill this data gap, but tends to be too costly for large scale applications what limits the ability for comprehensive studies on river systems in such remote areas. This in turn is a limitation for management and conservation of these rivers.</p><p>In this contribution, we suggest an approach for river corridor mapping based on open access data only in order to foster large scale geomorphological mapping of river corridors in data-scarce areas. For this aim, we combine advanced terrain analysis with multispectral remote sensing using the SRTM-1 DEM along with Landsat OLI imagery. We take the Naryn River in Kyrgyzstan as an example to demonstrate the potential of these open access data sets to derive a comprehensive set of parameters for characterizing this river corridor. The methods are adapted to the specific characteristics of medium resolution open access data sets and include an innovative, fuzzy logic based approach for riparian zone delineation, longitudinal profile smoothing based on constrained quantile regression and a delineation of the active channel width as needed for specific stream power computation. In addition, an indicator for river dynamics based on Landsat time series is developed. For each derived river corridor parameter, a rigor validation is performed. The results demonstrate, that our open access approach for geomorphological mapping of river corridors is capable to provide results sufficiently accurate to derive reach averaged information. Thus, it is well suited for large scale river characterization in data-scarce regions where otherwise the river corridors would remain largely unexplored from an up-to-date riverscape perspective. Such a characterization might be an entry point for further, more detailed research in selected study reaches and can deliver the required comprehensive background information for a range of topics in river science.</p>

scholarly journals Advances in studying brain morphology: The benefits of open-access data

2017 ◽  
Author(s):  
Christopher R Madan
Keyword(s):  
Open Access ◽  
Brain Structure ◽  
Large Scale ◽  
Open Data ◽  
Brain Morphology ◽  
Subcortical Structures ◽  
Open Access Data ◽  
Age Related ◽  
Neuroimaging Data ◽  
Access Data

Until recently, neuroimaging data for a research study needed to be collected within one’s own lab. However, when studying inter-individual differences in brain structure, a large sample of participants is necessary. Given the financial costs involved in collecting neuroimaging data from hundreds or thousands of participants, large-scale studies of brain morphology could previously only be conducted by well-funded laboratories with access to MRI facilities and to large samples of participants. With the advent of broad open-access data-sharing initiatives, this has recently changed–here the primary goal of the study is to collect large datasets to be shared, rather than sharing of the data as an afterthought. This paradigm shift is evident as increase in the pace of discovery, leading to a rapid rate of advances in our characterization of brain structure. The utility of open-access brain morphology data is numerous, ranging from observing novel patterns of age-related differences in subcortical structures to the development of more robust cortical parcellation atlases, with these advances being translatable to improved methods for characterizing clinical disorders (see Figure 1 for an illustration). Moreover, structural MRIs are generally more robust than functional MRIs, relative to potential artifacts and in being not task-dependent, resulting in large potential yields. While the benefits of open-access data have been discussed more broadly within the field of cognitive neuroscience elsewhere (Gilmore et al., 2017; Poldrack and Gorgolewski, 2014; Van Horn and Gazzaniga, 2013; Voytek, 2016), as well as in other fields (Ascoli et al., 2017; Choudhury et al., 2014; Davies et al., 2017), the current paper is focused specifically on the implications of open data to brain morphology research.

INDATA, ENVISIONING & PROTOTYPING INFORMED BY KNOWLEDGE. OPEN-ACCESS DATA PLATFORM TO SUPPORT DESIGN SCENARIOS

2019 ◽  
Author(s):  
Ilaria Mariani ◽  
Stefano Parisi ◽  
Patrizia Bolzan ◽  
Mil Stepanovic ◽  
Michele Invernizzi ◽  
...  
Keyword(s):  
Open Access ◽  
Support Design ◽  
Open Access Data ◽  
Data Platform ◽  
Access Data

scholarly journals Erratum: Korkovelos, A., et al. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies 2019, 12(7), 1395

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5044
Author(s):  
Alexandros Korkovelos ◽  
Babak Khavari ◽  
Andreas Sahlberg ◽  
Mark Howells ◽  
Christopher Arderne ◽  
...  
Keyword(s):  
Open Access ◽  
Open Access Data ◽  
Access Data

The authors wish to make a change in author names (adding new author—Dimitrios Mentis) to this paper [...]

scholarly journals The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures

2020 ◽  
Vol 31 (9) ◽  
pp. 2170-2184
Author(s):  
Laurens Versluis ◽  
Roland Matha ◽  
Sacheendra Talluri ◽  
Tim Hegeman ◽  
Radu Prodan ◽  
...  
Keyword(s):  
Open Access ◽  
Public And Private ◽  
Open Access Data ◽  
Trace Archive ◽  
Access Data

scholarly journals Cascadia fore arc seismic survey: Open-access data available

Eos ◽  
2012 ◽  
Vol 93 (50) ◽  
pp. 521-522 ◽  
Author(s):  
W. Steven Holbrook ◽  
Graham Kent ◽  
Katie Keranen ◽  
H. Paul Johnson ◽  
Anne Trehu ◽  
...  
Keyword(s):  
Open Access ◽  
Seismic Survey ◽  
Open Access Data ◽  
Access Data
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