Javier Otegui

dblp:117/4176 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0002-8997-3559ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Environmental and earth informatics · 77% Bioinformatics and computational biology · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Environmental and earth informatics
biodiversity informatics
0.632016
The geospatial data quality REST API for primary biodiversity data · Bioinform. 2016
bdvis: visualizing biodiversity data in R · Bioinform. 2016
BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network · Bioinform. 2012

Methods — techniques the papers use, named apart from their topics

r package development · 0.2parallelization · 0.2REST web service · 0.2diagnostic visualization · 0.1
YearPublicationVenuePosition
2016 bdvis: visualizing biodiversity data in R
abstract
UNLABELLED: Biodiversity studies are relying increasingly on primary biodiversity records (PBRs) for modelling and analysis. Because biodiversity data are frequently 'harvested'-i.e. not collected by the researcher for that particular study, but obtained from data aggregators such as the Global Biodiversity Information Facility-researchers need to be aware of strengths and weaknesses of their data before they venture into further analysis. R is becoming a lingua franca of data exploration and analysis. Here, we describe an R package, bdvis, which facilitates efforts to understand the gaps and strengths of PBR data with quick and useful visualization functions. AVAILABILITY AND IMPLEMENTATION: The full code of the R package bdvis, along with instructions on how to install and use it, is available via CRAN - The Comprehensive R Archive Network (http://cran.r-project.org/web/packages/bdvis/index.html) and in the corresponding author's main GitHub repository: http://www.github.com/vijaybarve/bdvis The source code is licensed under CC0 CONTACT: [email protected].
Vijay Barve, Javier Otegui
Bioinform.2
2016 The geospatial data quality REST API for primary biodiversity data
abstract
UNLABELLED: We present a REST web service to assess the geospatial quality of primary biodiversity data. It enables access to basic and advanced functions to detect completeness and consistency issues as well as general errors in the provided record or set of records. The API uses JSON for data interchange and efficient parallelization techniques for fast assessments of large datasets. AVAILABILITY AND IMPLEMENTATION: The Geospatial Data Quality API is part of the VertNet set of APIs. It can be accessed at http://api-geospatial.vertnet-portal.appspot.com/geospatial and is already implemented in the VertNet data portal for quality reporting. Source code is freely available under GPL license from http://www.github.com/vertnet/api-geospatial CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Javier Otegui, Robert P. Guralnick
Bioinform.1
2012 BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network
abstract
UNLABELLED: In any data quality workflow, data publishers must become aware of issues in their data so these can be corrected. User feedback mechanisms provide one avenue, while global assessments of datasets provide another. To date, there is no publicly available tool to allow both biodiversity data institutions sharing their data through the Global Biodiversity Information Facility network and its potential users to assess datasets as a whole. Contributing to bridge this gap both for publishers and users, we introduce BIoDiversity DataSets Assessment Tool, an online tool that enables selected diagnostic visualizations on the content of data publishers and/or their individual collections. AVAILABILITY AND IMPLEMENTATION: The online application is accessible at http://www.unav.es/unzyec/mzna/biddsat/ and is supported by all major browsers. The source code is licensed under the GNU GPLv3 license (http://www.gnu.org/licenses/gpl-3.0.txt) and is available at https://github.com/jotegui/BIDDSAT.
Javier Otegui, Arturo H. Ariño
Bioinform.1