Open Access

A plea for standards in reporting data collected by animal-borne electronic devices

Animal Biotelemetry20164:1

https://doi.org/10.1186/s40317-015-0096-x

Received: 3 September 2015

Accepted: 23 December 2015

Published: 6 January 2016

Abstract

In recent years, there has been significant investment in collaborative e-infrastructures to support biotelemetry research. Whilst these e-infrastructures are rapidly growing in size and sophistication, the current lack of standards for reporting and documenting the data collected by animal-borne telemetry devices is hampering their effectiveness. Here, we demonstrate why the current lack of standards is severely complicating the process for those developing and maintaining biotelemetry-related e-infrastructures, and provide suggestions as to how the current issue may be resolved. We hope this article will stimulate discussion across the community and facilitate the first steps towards the creation and adoption of industry standards for data collected by animal-borne telemetry devices.

Keywords

Telemetry Tagging Animal Bio-logging Database eResearch Electronic tagging

Background

The technological innovation of animal-borne telemetry devices is enabling an ever-increasing quantity of variables to be recorded about an animal’s location, internal state, and external environment [1]. As such, the scope of the research and application has broadened, substantially increasing the volume of device deployments around the globe [2]. At the same time, researchers seek to compile the resulting datasets to address questions requiring larger timescales and sample sizes than most individual studies can provide, and journals and funding agencies are increasingly encouraging or requiring these data to be archived as part of the research process.

To support this general trend across natural resource management and scientific communities, a number of e-infrastructures have appeared in recent years to help researchers manage, analyse, archive, and share the data collected by animal-borne telemetry devices (Table 1). These e-infrastructures assure the permanence and integrity of these data for future use and enable scientists to share data within and between disciplines [37].
Table 1

The current catalogue of web-based e-infrastructures for the collation, sharing, and reuse of animal biotelemetry data

Repository name

Host

Species

Regional focus

Data type

Web address

Australian animal tracking and monitoring system

Australian government

Marine species

Australia to Antarctica

Any location and biosensor data

aatams.emii.org.au

Animal telemetry network

US Integrated ocean observing system

Marine species

North America

Any location and biosensor data

http://www.ioos.noaa.gov/observing/animal_telemetry

Eurodeer

Fondazione Edmund Mach

Ungulates

Europe

Any location and acceleration data

eurodeer.org

Great Lakes acoustic telemetry observation system (GLATOS)

Great Lakes fishery commission

Freshwater species

Great lakes (North America)

Any location and biosensor data (passive acoustic)

data.glos.us/glatos

Global tagging of pelagic predators (GTOPP)

International collaboration

Marine species

Pacific

Any location and biosensor data

gtopp.org

Movebank

Max Planck Institute for Ornithology and University of Konstanz

All species

Global

Any location and biosensor data

movebank.org

OBIS-SEAMAP

Duke University

Marine mammals, seabirds, sea turtles

Global

Any location and biosensor data

seamap.env.duke.edu/

Ocean tracking network

Dalhousie University

Aquatic species

North America

Any location and biosensor data (passive acoustic)

oceantrackingnetwork.org/

Seaturtle.org

private organization

Sea turtles

Global

Location data (Argos)

seaturtle.org

Global procellariiform tracking database

BirdLife international

Seabirds

Global

Location data

seabirdtracking.org

Wildlife tracking

private organization

All species

Global

Location data (Argos)

wildlifetracking.org

Wireless remote animal monitoring (WRAM)

Swedish University of Agricultural Sciences

All species

Global

Any location and biosensor data

http://www.slu.se/wram/

ZoaTrack

Atlas of living Australia

All species

Australasia

Any location data

zoatrack.org

Main text

The development and maintenance of these e-infrastructures require significant economic investment and a coordinated effort to address the many political, technical, and funding challenges. A key step in the growth and sustainability of these information systems, and their capacity to support the research community, is the ease by which data can be transferred from device to repository. The assortment of sensors now available, combined with the range of methods for the automated download of these data (ARGOS, Bluetooth, email, Iridium, Globalstar, GSM, SMS) and the sheer number of companies producing the devices, is resulting in many different attribute names, definitions, units, and file formats for reporting the same types of data. For example, different manufacturers currently report the time and date in numerous disparate formats (e.g. dd/MM/yyyy h:mm; h:mm:ss.s MM.dd.yyyy; yyyy.MM.dd hh:mm:ss; yyyy-MM-dd hh:mm:ss.s, etc.). In some cases, data files and documentation provide no reference to the time zone, even when allowing researchers to choose (and sometimes change on the fly) the time zone in which their data are provided. In addition, data generated by individual manufacturers can change over time, leading to outputs that misleadingly appear to be in the same format; for example, the development of a new device model or software version that changes the units for reporting instantaneous ground speed without any related change in data output files. Such changes may or may not be discovered during import to an e-infrastructure and data analysis. The quality of metadata describing data output varies widely—whilst some manufacturers provide thorough and up-to-date manuals, data for many devices lack complete written documentation defining variables, units, accuracy/precision, etc., and including a history of changes.

The resulting ambiguities in how data, and even the same variables, are reported make it almost impossible for data upload into the repositories to be a fully automated process and are creating serious challenges for those wishing to store and integrate data from multiple telemetry devices within a single database. All existing e-infrastructures are severely affected by this problem because the creation of dedicated import procedures, each tailored to the device, manufacturer, and model, is a time-consuming and error-prone task that also requires continual monitoring and updating as new models and manufacturers enter the research arena. The current approach is expensive and will become increasingly infeasible if manufacture proliferation and device diversification continue at the current rate without globally adopted data standards.

Here, we request that the device manufacturers and scientific community take steps to develop and instigate standards for the reporting and documentation of data collected by an increasing plethora of animal-borne telemetry devices. We understand that sensors differ in design and purpose; however, we believe that most of the scientifically relevant data collected can be described by a finite set of variables. When stored along with information about the sensor (manufacturer, model, etc.), shared data standards can allow data from a wide range of sensors to be properly archived and analysed together. In particular, we ask that manufacturers and the research community design and implement.
  • Standard variable names, definitions, data types, and units for commonly used data attributes.

  • A standard and documented file format, such as an Extensible Markup Language (XML) schema, as an option for receiving data. There are already widely accepted standards for reporting many of the variables most commonly used by biotelemetry devices (for example, providing timestamps in Coordinated Universal Time (UTC) and geographic coordinates in the WGS84 reference system). Several standards already exist to describe ecological and geospatial data that can be used as a preliminary reference, for example: Darwin Core and ABCD from TDWG for biological collections; Ecological Metadata Language (EML) from the Knowledge Network for Biocomplexity; the US Federal Geographic Data Committee’s (FGDC) standards for geographic information (with an extension for biological information); ISO 19115 from the International Organization for Standardization for geographic information; and GPX (GPS Exchange Format).

  • As a first step, we also request that individual device manufacturers, if they have not done so already, provide complete written documentation (metadata) for all variables and formats currently used by their devices, if needed including a history of past changes and description of how data differ between devices, user-specific preferences, data access methods, or file formats. Such documentation does not allow for interoperability or automated integration of data into repository, but would minimize archiving errors and enable future implementation of the standards above with historical data.

The definition and adoption of such standards by all manufacturers would dramatically simplify the data acquisition process, augmenting the willingness of biotelemetry researchers to archive their hard-won data-collections; reduce data management costs, allowing e-infrastructures to focus on developing shared analysis tools; and minimize the risk of errors derived from data handling, enhancing data reusability. These improvements in how the community share and reuse data would in turn benefit the device manufactures by placing greater value on the data their devices collect to the wider scientific and natural resource management communities.

The definition and adoption of standards in the reporting of data collected by animal-borne electronic devices are the first necessary step towards a more general and comprehensive set of data standards that would enhance interoperability amongst the different e-infrastructures. The recently formed International Bio-Logging Society has made one of its goals to “standardize data protocols to make the various marine and terrestrial databases interoperable”. For reasons outlined in this article, we urge for this to be instigated at the level of device manufacture and propose a dedicated workshop at the next International Bio-Logging Science Symposium, inviting developers from all the Animal Biotelemetry e-infrastructures, as well as the leading device manufacturers and research scientists.

Conclusions

We have a unique community in which researchers, software developers, and manufacturers work collaboratively to develop new tools to address novel reserach questions. We believe we can now work together to develop the data standards needed to meet growing data archiving requirements and enable the multi-species, long-term, and continental-scale ecological studies that the research community is striving towards [1, 8].

Declarations

Authors’ contributions

All authors contributed equally in the writing and proofing of this manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Research Institute for the Environment and Livelihoods, Charles Darwin University
(2)
Freelance consultant
(3)
Max Planck Institute for Ornithology
(4)
Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences
(5)
Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach
(6)
Organismic and Evolutionary Biology Department, Harvard University

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Copyright

© Campbell et al. 2016

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