PhilSci Archive

Data Synthesis for Big Questions: From Animal Tracks to Ecological Models

Trappes, Rose (2024) Data Synthesis for Big Questions: From Animal Tracks to Ecological Models. Philosophy, Theory, and Practice in Biology, 16 (1). p. 4. ISSN 2475-3025

This is the latest version of this item.

[img]
Preview
Text
Trappes 2024 - Data Synthesis for Big Questions.pdf - Published Version
Available under License Creative Commons Attribution.

Download (150kB) | Preview

Abstract

This paper addresses a relatively new mode of ecological research: data synthesis studies. Data synthesis studies involve reusing data to create a general model as well as a reusable, aggregated dataset. Using a case from movement ecology, I analyse the trade-offs and strategies involved in data synthesis. Like theoretical ecological modelling, I find that synthesis studies involve a modelling trade-off between generality, precision and realism; they deal with this trade-off by adopting a pragmatic kludging strategy. I also identify an additional trade-off, the synthesis trade-off, between making data easy to synthesise for a particular project, on the one hand, and facilitating data reuse for other projects, on the other. In response to this synthesis trade-off, researchers create flexible datasets that are relatively easy to use for particular projects and can be adjusted to suit some other purposes. The flexibility compromise is also found in broader open data efforts, making it a significant element in the future of data-intensive ecology.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Trappes, Roser.g.trappes@exeter.ac.uk0000-0002-6398-5404
Additional Information: Suggested Citation: Trappes, R., (2024) “Data Synthesis for Big Questions: From Animal Tracks to Ecological Models”, Philosophy, Theory, and Practice in Biology 16(1): 4. doi: https://doi.org/10.3998/ptpbio.5259
Keywords: open data; data-centric science; evidence synthesis; ecological model building; kludging; movement ecology; data journey
Subjects: General Issues > Data
Specific Sciences > Biology > Ecology/Conservation
General Issues > Technology
Depositing User: Dr Rose Trappes
Date Deposited: 27 Jun 2024 13:44
Last Modified: 27 Jun 2024 13:44
Item ID: 23635
Journal or Publication Title: Philosophy, Theory, and Practice in Biology
DOI or Unique Handle: https://doi.org/10.3998/ptpbio.5259
Subjects: General Issues > Data
Specific Sciences > Biology > Ecology/Conservation
General Issues > Technology
Date: 27 June 2024
Page Range: p. 4
Volume: 16
Number: 1
ISSN: 2475-3025
URI: https://philsci-archive.pitt.edu/id/eprint/23635

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item