TY - JOUR
T1 - Effects of Ignoring Survey Design Information for Data Reuse
A1 - Foster,Scott D.
A1 - Vanhatalo,Jarno
A1 - Trenkel,Verena
A1 - Schulz,Torsti
A1 - Lawrence,Emma
A1 - Przeslawski,Rachel
A1 - Hosack,Geoffrey R.
AD - Data61 ,CSIRO ,Hobart Tasmania ,Australia
AD - Department of Mathematics and Statistics, University of Helsinki, Helsinki ,Finland
AD - Organismal and Evolutionary Biology Research Program, University of Helsinki ,Helsinki, Finland
AD - Ifremer, Nantes, France
AD - Data61 ,CSIRO ,Brisbane Queensland, Australia
AD - Geoscience Australia, Canberra ACT, Australia
UR - https://archimer.ifremer.fr/doc/00691/80339/
DO - 10.1002/eap.2360
KW - bias
KW - data
KW - database
KW - findable
KW - accessible
KW - interoperable
KW - reusable data
KW - Horvitz-Thompson estimator
KW - inclusion probability
KW - model
KW - population density estimate
KW - reuse
KW - survey design
N2 - Data are currently being used, and reused, in ecological research at an unprecedented rate. To ensure appropriate reuse however, we need to ask the question: “Are aggregated databases currently providing the right information to enable effective and unbiased reuse?” We investigate this question, with a focus on designs that purposefully favour the selection of sampling locations (upweighting the probability of selection of some locations). These designs are common and examples are those designs that have uneven inclusion probabilities or are stratified. We perform a simulation experiment by creating datasets with progressively more uneven inclusion probabilities, and examine the resulting estimates of the average number of individuals per unit area (density). The effect of ignoring the survey design can be profound, with biases of up to 250% in density estimates when naive analytical methods are used. This density estimation bias is not reduced by adding more data. Fortunately, the estimation bias can be mitigated by using an appropriate estimator or an appropriate model that incorporates the design information. These are only available however, when essential information about the survey design is available: the sample location selection process (e.g. inclusion probabilities), and/or covariates used in their specification. The results suggest that such information must be stored and served with the data to support meaningful inference and data reuse.
Y1 - 2021/09
PB - Wiley
JF - Ecological Applications
SN - 1051-0761
VL - 31
IS - 6
ID - 80339
ER -