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| Foster, Scott D.; Vanhatalo, Jarno; Trenkel, Verena; Schulz, Torsti; Lawrence, Emma; Przeslawski, Rachel; Hosack, Geoffrey R.. |
| 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... |
| Tipo: Text |
Palavras-chave: Bias; Survey Design; Database; Population Density Estimate; Model; Horvitz‐Thompson; FAIR; Reuse; Data; Inclusion Probability. |
| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00691/80339/83422.pdf |
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| Pearlman, Jay; Bushnell, Mark; Coppola, Laurent; Karstensen, Johannes; Buttigieg, Pier Luigi; Pearlman, Francoise; Simpsons, Pauline; Barbier, Michele; Muller-karger, Frank E.; Munoz-mas, Cristian; Pissierssens, Peter; Chandler, Cyndy; Hermes, Juliet; Heslop, Emma; Jenkyns, Reyna; Achterberg, Eric P.; Bensi, Manuel; Bittig, Henry C.; Blandin, Jerome; Bosch, Julie; Bourles, Bernard; Bozzano, Roberto; Buck, Justin J. H.; Burger, Eugene F.; Cano, Daniel; Cardin, Vanessa; Llorens, Miguel Charcos; Cianca, Andres; Chen, Hua; Cusack, Caroline; Delory, Eric; Garello, Rene; Giovanetti, Gabriele; Harscoat, Valerie; Hartman, Susan; Heitsenrether, Robert; Jirka, Simon; Lara-lopez, Ana; Lanteri, Nadine; Leadbetter, Adam; Manzella, Giuseppe; Maso, Joan; Mccurdy, Andrea; Moussat, Eric; Ntoumas, Manolis; Pensieri, Sara; Petihakis, George; Pinardi, Nadia; Pouliquen, Sylvie; Przeslawski, Rachel; Roden, Nicholas P.; Silke, Joe; Tamburri, Mario N.; Tang, Hairong; Tanhua, Toste; Telszewski, Maciej; Testor, Pierre; Thomas, Julie; Waldmann, Christoph; Whoriskey, Fred. |
| The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet's ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. To meet the urgent, planet-wide challenges we face, methods across all aspects of ocean observing should be broadly adopted by the ocean... |
| Tipo: Text |
Palavras-chave: Best practices; Sustainability; Interoperability; Digital repository; Peer review; Ocean observing; Ontologies; Methodologies. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00503/61423/65111.pdf |
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