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ArticleToward interoperable bioscience data(Nature Publishing Group, 2012-01-27) Sansone, Susanna-Assunta ; Rocca-Serra, Philippe ; Field, Dawn ; Maguire, Eamonn ; Taylor, Chris ; Hofmann, Oliver ; Fang, Hong ; Neumann, Steffen ; Tong, Weida ; Amaral-Zettler, Linda A. ; Begley, Kimberly ; Booth, Tim ; Bougueleret, Lydie ; Burns, Gully ; Chapman, Brad ; Clark, Tim ; Coleman, Lee-Ann ; Copeland, Jay ; Das, Sudeshna ; de Daruvar, Antoine ; de Matos, Paula ; Dix, Ian ; Edmunds, Scott ; Evelo, Chris T. ; Forster, Mark K. ; Gaudet, Pascale ; Gilbert, Jack A. ; Goble, Carole ; Griffin, Julian L. ; Jacob, Daniel ; Kleinjans, Jos ; Harland, Lee ; Haug, Kenneth ; Hermjakob, Henning ; Ho Sui, Shannan J. ; Laederach, Alain ; Liang, Shaoguang ; Marshall, Stephen ; McGrath, Annette ; Merrill, Emily ; Reilly, Dorothy ; Roux, Magali ; Shamu, Caroline E. ; Shang, Catherine A. ; Steinbeck, Christoph ; Trefethen, Anne ; Williams-Jones, Bryn ; Wolstencroft, Katherine ; Xenarios, Ioannis ; Hide, WinstonTo make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.
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ArticleGenomic Standards Consortium projects(Genomic Standards Consortium, 2014) Field, Dawn ; Sterk, Peter ; Kottmann, Renzo ; De Smet, Wim ; Amaral-Zettler, Linda A. ; Cochrane, Guy R. ; James, Cole R. ; Davies, Neil ; Dawyndt, Peter ; Garrity, George M. ; Gilbert, Jack A. ; Glockner, Frank Oliver ; Hirschman, Lynette ; Klenk, Hans-Peter ; Knight, Rob ; Kyrpides, Nikos C. ; Meyer, Folker ; Karsch-Mizrachi, Ilene ; Morrison, Norman ; Robbins, Robert J. ; San Gil, Inigo ; Sansone, Susanna-Assunta ; Schriml, Lynn M. ; Tatusova, Tatiana ; Ussery, David W. ; Yilmaz, Pelin ; White, Owen ; Wooley, John ; Caporaso, J. GregoryThe Genomic Standards Consortium (GSC) is an open-membership community working towards the development, implementation and harmonization of standards in the field of genomics. The mission of the GSC is to improve digital descriptions of genomes, metagenomes and gene marker sequences. The GSC started in late 2005 with the defined task of establishing what is now termed the “Minimum Information about any Sequence” (MIxS) standard [1,2]. As an outgrowth of the activities surrounding the creation and implementation of the MixS standard there are now 18 projects within the GSC [3]. These efforts cover an ever widening range of standardization activities. Given the growth of projects and to promote transparency, participation and adoption the GSC has developed a “GSC Project Description Template”. A complete set of GSC Project Descriptions and the template are available on the GSC website. The GSC has an open policy of participation and continues to welcome new efforts. Any projects that facilitate the standard descriptions and exchange of data are potential candidates for inclusion under the GSC umbrella. Areas that expand the scope of the GSC are encouraged. Through these collective activities we hope to help foster the growth of the ‘bioinformatics standards’ community. For more information on the GSC and its range of projects, please see http://gensc.org/.
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ArticleRCN4GSC Workshop Report : managing data at the interface of biodiversity and (meta)genomics, March 2011(Genomic Standards Consortium, 2012-07-28) Robbins, Robert J. ; Amaral-Zettler, Linda A. ; Bik, Holly M. ; Blum, Stan D. ; Edwards, James ; Field, Dawn ; Garrity, George M. ; Gilbert, Jack A. ; Kottmann, Renzo ; Krishtalka, Leonard ; Lapp, Hilmar ; Lawrence, Carolyn ; Morrison, Norman ; O Tuama, Eamonn ; Parr, Cynthia Sims ; San Gil, Inigo ; Schindel, David ; Schriml, Lynn M. ; Vieglas, David ; Wooley, JohnBuilding on the planning efforts of the RCN4GSC project, a workshop was convened in San Diego to bring together experts from genomics and metagenomics, biodiversity, ecology, and bioinformatics with the charge to identify potential for positive interactions and progress, especially building on successes at establishing data standards by the GSC and by the biodiversity and ecological communities. Until recently, the contribution of microbial life to the biomass and biodiversity of the biosphere was largely overlooked (because it was resistant to systematic study). Now, emerging genomic and metagenomic tools are making investigation possible. Initial research findings suggest that major advances are in the offing. Although different research communities share some overlapping concepts and traditions, they differ significantly in sampling approaches, vocabularies and workflows. Likewise, their definitions of ‘fitness for use’ for data differ significantly, as this concept stems from the specific research questions of most importance in the different fields. Nevertheless, there is little doubt that there is much to be gained from greater coordination and integration. As a first step toward interoperability of the information systems used by the different communities, participants agreed to conduct a case study on two of the leading data standards from the two formerly disparate fields: (a) GSC’s standard checklists for genomics and metagenomics and (b) TDWG’s Darwin Core standard, used primarily in taxonomy and systematic biology.
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ArticleSatellite remote sensing data can be used to model marine microbial metabolite turnover(Nature Publishing Group, 2014-07-29) Larsen, Peter E. ; Scott, Nicole ; Post, Anton F. ; Field, Dawn ; Knight, Rob ; Hamada, Yuki ; Gilbert, Jack A.Sampling ecosystems, even at a local scale, at the temporal and spatial resolution necessary to capture natural variability in microbial communities are prohibitively expensive. We extrapolated marine surface microbial community structure and metabolic potential from 72 16S rRNA amplicon and 8 metagenomic observations using remotely sensed environmental parameters to create a system-scale model of marine microbial metabolism for 5904 grid cells (49 km2) in the Western English Chanel, across 3 years of weekly averages. Thirteen environmental variables predicted the relative abundance of 24 bacterial Orders and 1715 unique enzyme-encoding genes that encode turnover of 2893 metabolites. The genes’ predicted relative abundance was highly correlated (Pearson Correlation 0.72, P-value <10−6) with their observed relative abundance in sequenced metagenomes. Predictions of the relative turnover (synthesis or consumption) of CO2 were significantly correlated with observed surface CO2 fugacity. The spatial and temporal variation in the predicted relative abundances of genes coding for cyanase, carbon monoxide and malate dehydrogenase were investigated along with the predicted inter-annual variation in relative consumption or production of ~3000 metabolites forming six significant temporal clusters. These spatiotemporal distributions could possibly be explained by the co-occurrence of anaerobic and aerobic metabolisms associated with localized plankton blooms or sediment resuspension, which facilitate the presence of anaerobic micro-niches. This predictive model provides a general framework for focusing future sampling and experimental design to relate biogeochemical turnover to microbial ecology.
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ArticleThe taxonomic and functional diversity of microbes at a temperate coastal site : a ‘multi-omic’ study of seasonal and diel temporal variation(Public Library of Science, 2010-11-29) Gilbert, Jack A. ; Field, Dawn ; Swift, Paul ; Thomas, Simon ; Cummings, Denise ; Temperton, Ben ; Weynberg, Karen ; Huse, Susan M. ; Hughes, Margaret ; Joint, Ian ; Somerfield, Paul J. ; Muhling, MartinHow microbial communities change over time in response to the environment is poorly understood. Previously a six-year time series of 16S rRNA V6 data from the Western English Channel demonstrated robust seasonal structure within the bacterial community, with diversity negatively correlated with day-length. Here we determine whether metagenomes and metatranscriptomes follow similar patterns. We generated 16S rRNA datasets, metagenomes (1.2 GB) and metatranscriptomes (157 MB) for eight additional time points sampled in 2008, representing three seasons (Winter, Spring, Summer) and including day and night samples. This is the first microbial ‘multi-omic’ study to combine 16S rRNA amplicon sequencing with metagenomic and metatranscriptomic profiling. Five main conclusions can be drawn from analysis of these data: 1) Archaea follow the same seasonal patterns as Bacteria, but show lower relative diversity; 2) Higher 16S rRNA diversity also reflects a higher diversity of transcripts; 3) Diversity is highest in winter and at night; 4) Community-level changes in 16S-based diversity and metagenomic profiles are better explained by seasonal patterns (with samples closest in time being most similar), while metatranscriptomic profiles are better explained by diel patterns and shifts in particular categories (i.e., functional groups) of genes; 5) Changes in key genes occur among seasons and between day and night (i.e., photosynthesis); but these samples contain large numbers of orphan genes without known homologues and it is these unknown gene sets that appear to contribute most towards defining the differences observed between times. Despite the huge diversity of these microbial communities, there are clear signs of predictable patterns and detectable stability over time. Renewed and intensified efforts are required to reveal fundamental deterministic patterns in the most complex microbial communities. Further, the presence of a substantial proportion of orphan sequences underscores the need to determine the gene products of sequences with currently unknown function.
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PreprintThe seasonal structure of microbial communities in the Western English Channel( 2009-06-05) Gilbert, Jack A. ; Field, Dawn ; Swift, Paul ; Newbold, Lindsay K. ; Oliver, Anna E. ; Smyth, Tim J. ; Somerfield, Paul J. ; Huse, Susan M. ; Joint, IanVery few marine microbial communities are well characterized even with the weight of research effort presently devoted to it. Only a small proportion of this effort has been aimed at investigating temporal community structure. Here we present the first report of the application of high-throughput pyrosequencing to investigate intra-annual bacterial community structure. Microbial diversity was determined for 12 time points at the surface of the L4 sampling site in the Western English Channel. This was performed over 11 months during 2007. A total of 182,560 sequences from the V6 hyper-variable region of the small-subunit ribosomal RNA gene (16S rRNA) were obtained; there were between 11,327 and 17,339 reads per sample. Approximately 7000 genera were identified, with one in every 25 reads being attributed to a new genus; yet this level of sampling far from exhausted the total diversity present at any one time point. The total data set contained 17,673 unique sequences. Only 93 (0.5%) were found at all time-points, yet these few lineages comprised 50% of the total reads sequenced. The most abundant phylum was Proteobacteria (50% of all sequenced reads), while the SAR11 clade comprised 21% of the ubiquitous reads and ~12 % of the total sequenced reads. In contrast, 78% of all OTUs were only found at one time-point and 67% were only found once, evidence of a large and transient rare assemblage. This time-series shows evidence of seasonally structured community diversity. There is also evidence for seasonal succession, primarily reflecting changes among dominant taxa. These changes in structure were significantly correlated to a combination of temperature, phosphate and silicate concentrations.
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ArticleThe ocean sampling day consortium(BioMed Central, 2015-06-19) Kopf, Anna ; Bicak, Mesude ; Kottmann, Renzo ; Schnetzer, Julia ; Kostadinov, Ivaylo ; Lehmann, Katja ; Fernandez-Guerra, Antonio ; Jeanthon, Christian ; Rahav, Eyal ; Ullrich, Matthias S. ; Wichels, Antje ; Gerdts, Gunnar ; Polymenakou, Paraskevi ; Kotoulas, Georgios ; Siam, Rania ; Abdallah, Rehab Z. ; Sonnenschein, Eva C. ; Cariou, Thierry ; O’Gara, Fergal ; Jackson, Stephen ; Orlic, Sandi ; Steinke, Michael ; Busch, Julia ; Duarte, Bernardo ; Caçador, Isabel ; Canning-Clode, Joao ; Bobrova, Oleksandra ; Marteinsson, Viggo ; Reynisson, Eyjolfur ; Loureiro, Clara Magalhaes ; Luna, Gian Marco ; Quero, Grazia Marina ; Loscher, Carolin R. ; Kremp, Anke ; DeLorenzo, Marie E. ; Øvreås, Lise ; Tolman, Jennifer ; LaRoche, Julie ; Penna, Antonella ; Frischer, Marc ; Davis, Timothy ; Katherine, Barker ; Meyer, Christopher P. ; Ramos, Sandra ; Magalhaes, Catarina ; Jude-Lemeilleur, Florence ; Aguirre-Macedo, Ma Leopoldina ; Wang, Shiao ; Poulton, Nicole ; Jones, Scott ; Collin, Rachel ; Fuhrman, Jed A. ; Conan, Pascal ; Alonso, Cecilia ; Stambler, Noga ; Goodwin, Kelly ; Yakimov, Michail M. ; Baltar, Federico ; Bodrossy, Levente ; Van De Kamp, Jodie ; Frampton, Dion M. F. ; Ostrowski, Martin ; Van Ruth, Paul ; Malthouse, Paul ; Claus, Simon ; Deneudt, Klaas ; Mortelmans, Jonas ; Pitois, Sophie ; Wallom, David ; Salter, Ian ; Costa, Rodrigo ; Schroeder, Declan C. ; Kandil, Mahrous M. ; Amaral, Valentina ; Biancalana, Florencia ; Santana, Rafael ; Pedrotti, Maria Luiza ; Yoshida, Takashi ; Ogata, Hiroyuki ; Ingleton, Timothy ; Munnik, Kate ; Rodriguez-Ezpeleta, Naiara ; Berteaux-Lecellier, Veronique ; Wecker, Patricia ; Cancio, Ibon ; Vaulot, Daniel ; Bienhold, Christina ; Ghazal, Hassan ; Chaouni, Bouchra ; Essayeh, Soumya ; Ettamimi, Sara ; Zaid, El Houcine ; Boukhatem, Noureddine ; Bouali, Abderrahim ; Chahboune, Rajaa ; Barrijal, Said ; Timinouni, Mohammed ; El Otmani, Fatima ; Bennani, Mohamed ; Mea, Marianna ; Todorova, Nadezhda ; Karamfilov, Ventzislav ; ten Hoopen, Petra ; Cochrane, Guy R. ; L’Haridon, Stephane ; Bizsel, Kemal Can ; Vezzi, Alessandro ; Lauro, Federico M. ; Martin, Patrick ; Jensen, Rachelle M. ; Hinks, Jamie ; Gebbels, Susan ; Rosselli, Riccardo ; De Pascale, Fabio ; Schiavon, Riccardo ; dos Santos, Antonina ; Villar, Emilie ; Pesant, Stephane ; Cataletto, Bruno ; Malfatti, Francesca ; Edirisinghe, Ranjith ; Herrera Silveira, Jorge A. ; Barbier, Michele ; Turk, Valentina ; Tinta, Tinkara ; Fuller, Wayne J. ; Salihoglu, Ilkay ; Serakinci, Nedime ; Ergoren, Mahmut Cerkez ; Bresnan, Eileen ; Iriberri, Juan ; Fronth Nyhus, Paul Anders ; Bente, Edvardsen ; Karlsen, Hans Erik ; Golyshin, Peter N. ; Gasol, Josep M. ; Moncheva, Snejana ; Dzhembekova, Nina ; Johnson, Zackary ; Sinigalliano, Christopher D. ; Gidley, Maribeth Louise ; Zingone, Adriana ; Danovaro, Roberto ; Tsiamis, Georgios ; Clark, Melody S. ; Costa, Ana Cristina ; El Bour, Monia ; Martins, Ana M. ; Collins, R. Eric ; Ducluzeau, Anne-Lise ; Martinez, Jonathan ; Costello, Mark J. ; Amaral-Zettler, Linda A. ; Gilbert, Jack A. ; Davies, Neil ; Field, Dawn ; Glockner, Frank OliverOcean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.
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ArticleThe Genomic Standards Consortium(Public Library of Science, 2011-06-21) Field, Dawn ; Amaral-Zettler, Linda A. ; Cochrane, Guy R. ; Cole, James R. ; Dawyndt, Peter ; Garrity, George M. ; Gilbert, Jack A. ; Glockner, Frank Oliver ; Hirschman, Lynette ; Karsch-Mizrachi, Ilene ; Klenk, Hans-Peter ; Knight, Rob ; Kottmann, Renzo ; Kyrpides, Nikos C. ; Meyer, Folker ; San Gil, Inigo ; Sansone, Susanna-Assunta ; Schriml, Lynn M. ; Sterk, Peter ; Tatusova, Tatiana ; Ussery, David W. ; White, Owen ; Wooley, JohnA vast and rich body of information has grown up as a result of the world's enthusiasm for 'omics technologies. Finding ways to describe and make available this information that maximise its usefulness has become a major effort across the 'omics world. At the heart of this effort is the Genomic Standards Consortium (GSC), an open-membership organization that drives community-based standardization activities, Here we provide a short history of the GSC, provide an overview of its range of current activities, and make a call for the scientific community to join forces to improve the quality and quantity of contextual information about our public collections of genomes, metagenomes, and marker gene sequences.
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PreprintMinimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications( 2011-01-04) Yilmaz, Pelin ; Kottmann, Renzo ; Field, Dawn ; Knight, Rob ; Cole, James R. ; Amaral-Zettler, Linda A. ; Gilbert, Jack A. ; Karsch-Mizrachi, Ilene ; Johnston, Anjanette ; Cochrane, Guy R. ; Vaughan, Robert ; Hunter, Christopher ; Park, Joonhong ; Morrison, Norman ; Rocca-Serra, Philippe ; Sterk, Peter ; Arumugam, Manimozhiyan ; Bailey, Mark ; Baumgartner, Laura ; Birren, Bruce W. ; Blaser, Martin J. ; Bonazzi, Vivien ; Booth, Tim ; Bork, Peer ; Bushman, Frederic D. ; Buttigieg, Pier Luigi ; Chain, Patrick S. G. ; Charlson, Emily ; Costello, Elizabeth K. ; Huot-Creasy, Heather ; Dawyndt, Peter ; DeSantis, Todd ; Fierer, Noah ; Fuhrman, Jed A. ; Gallery, Rachel E. ; Gevers, Dirk ; Gibbs, Richard A. ; San Gil, Inigo ; Gonzalez, Antonio ; Gordon, Jeffrey I. ; Guralnick, Robert P. ; Hankeln, Wolfgang ; Highlander, Sarah ; Hugenholtz, Philip ; Jansson, Janet K. ; Kau, Andrew L. ; Kelley, Scott T. ; Kennedy, Jerry ; Knights, Dan ; Koren, Omry ; Kuczynski, Justin ; Kyrpides, Nikos C. ; Larsen, Robert ; Lauber, Christian L. ; Legg, Teresa ; Ley, Ruth E. ; Lozupone, Catherine A. ; Ludwig, Wolfgang ; Lyons, Donna ; Maguire, Eamonn ; Methe, Barbara A. ; Meyer, Folker ; Muegge, Brian ; Nakielny, Sara ; Nelson, Karen E. ; Nemergut, Diana ; Neufeld, Josh D. ; Newbold, Lindsay K. ; Oliver, Anna E. ; Pace, Norman R. ; Palanisamy, Giriprakash ; Peplies, Jorg ; Petrosino, Joseph ; Proctor, Lita ; Pruesse, Elmar ; Quast, Christian ; Raes, Jeroen ; Ratnasingham, Sujeevan ; Ravel, Jacques ; Relman, David A. ; Assunta-Sansone, Susanna ; Schloss, Patrick D. ; Schriml, Lynn M. ; Sinha, Rohini ; Smith, Michelle I. ; Sodergren, Erica ; Spor, Ayme ; Stombaugh, Jesse ; Tiedje, James M. ; Ward, Doyle V. ; Weinstock, George M. ; Wendel, Doug ; White, Owen ; Whiteley, Andrew ; Wilke, Andreas ; Wortman, Jennifer R. ; Yatsunenko, Tanya ; Glockner, Frank OliverHere we present a standard developed by the Genomic Standards Consortium (GSC) to describe marker gene sequences—the minimum information about a marker gene sequence (MIMARKS). We also introduce a system for describing the environment from which a biological sample originates. The “environmental packages” apply to any sequence whose origin is known and can therefore be used in combination with MIMARKS or other GSC checklists. Finally, to establish a unified standard for describing sequence data and to provide a single point of entry for the scientific community to access and learn about GSC checklists, we establish the minimum information about any (x) sequence (MIxS). Adoption of MIxS will enhance our ability to analyze natural genetic diversity across the Tree of Life as it is currently being documented by massive DNA sequencing efforts from myriad ecosystems in our ever-changing biosphere.
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ArticleThe genomic standards consortium : bringing standards to life for microbial ecology(Nature Publishing Group, 2011-04-07) Yilmaz, Pelin ; Gilbert, Jack A. ; Knight, Rob ; Amaral-Zettler, Linda A. ; Karsch-Mizrachi, Ilene ; Cochrane, Guy R. ; Nakamura, Yasukazu ; Sansone, Susanna-Assunta ; Glockner, Frank Oliver ; Field, DawnInterest in sampling of diverse environments, combined with advances in high-throughput sequencing, vastly accelerates the pace at which new genomes and metagenomes are generated. For example, as of January 2011, 12 500 user-generated metagenomes have been submitted to the public MG-RAST Annotation server (http://metagenomics. nmpdr.org; Meyer et al., 2008), 490% of which were produced using high-throughput sequencing methodologies. We have entered into an era of ‘mega-sequencing projects’ that include the Genomic Encyclopaedia of Bacteria and Archaea project (http://www.jgi.doe.gov/programs/GEBA), the Microbial Earth Project (http://genome.jgi-psf. org/programs/bacteria-archaea/MEP/index.jsf), the Human Microbiome Project (http://nihroadmap.nih. gov/hmp), the Metagenomics of the Human Intestinal Tract consortium (http://www.metahit.eu), the Terragenome Initiative (http://www.terragenome. org), the Tara Oceans Expedition (http://oceans. taraexpeditions.org), the National Ecological Observatory Network (NEON-http://www.neoninc.org), the International Census of Marine Microbes (ICoMM-http://icomm.mbl.edu), Microbial Inventory Research Across Diverse Aquatic Long-Term Ecological Research Sites (http://amarallab.mbl. edu/mirada/mirada.html), the Earth Microbiome Project (http://www.earthmicrobiome.org) and other funded and unfunded projects, with many more visionary projects on the horizon.
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ArticleReport of the 14th Genomic Standards Consortium Meeting, Oxford, UK, September 17-21, 2012(Genomic Standards Consortium, 2014) Davies, Neil ; Field, Dawn ; Amaral-Zettler, Linda A. ; Bicak, Mesude ; Bourlat, Sarah ; Coddington, Jonathan ; Deck, John ; Drummond, Alexei ; Gilbert, Jack A. ; Glockner, Frank Oliver ; Kottmann, Renzo ; Meyer, Chris ; Morrison, Norman ; Obst, Matthias ; Robbins, Robert J. ; Schriml, Lynn M. ; Sterk, Peter ; Stones-Havas, StevenThis report summarizes the proceedings of the 14th workshop of the Genomic Standards Consortium (GSC) held at the University of Oxford in September 2012. The workshop’s primary goal was to work towards the launch of the Genomic Observatories (GOs) Network under the GSC. For the first time, it brought together potential GOs sites, GSC members, and a range of interested partner organizations. It thus represented the first meeting of the GOs Network (GOs1). Key outcomes include the formation of a core group of “champions” ready to take the GOs Network forward, as well as the formation of working groups. The workshop also served as the first meeting of a wide range of participants in the Ocean Sampling Day (OSD) initiative, a first GOs action. Three projects with complementary interests – COST Action ES1103, MG4U and Micro B3 – organized joint sessions at the workshop. A two-day GSC Hackathon followed the main three days of meetings.
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ArticleSimulating social-ecological systems : the Island Digital Ecosystem Avatars (IDEA) consortium(BioMed Central, 2016-03-17) Davies, Neil ; Field, Dawn ; Gavaghan, David ; Holbrook, Sally J. ; Planes, Serge ; Troyer, Matthias ; Bonsall, Michael ; Claudet, Joachim ; Roderick, George ; Schmitt, Russell J. ; Amaral-Zettler, Linda A. ; Berteaux, Veronique ; Bossin, Hervé C. ; Cabasse, Charlotte ; Collin, Antoine ; Deck, John ; Dell, Tony ; Dunne, Jennifer A. ; Gates, Ruth D. ; Harfoot, Mike ; Hench, James L. ; Hopuare, Marania ; Kirch, Patrick ; Kotoulas, Georgios ; Kosenkov, Alex ; Kusenko, Alex ; Leichter, James J. ; Lenihan, Hunter ; Magoulas, Antonios ; Martinez, Neo ; Meyer, Chris ; Stoll, Benoit ; Swalla, Billie ; Tartakovsky, Daniel M. ; Teavai Murphy, Hinano ; Turyshev, Slava ; Valdvinos, Fernanda ; Williams, Rich ; Wood, Spencer ; IDEA ConsortiumSystems biology promises to revolutionize medicine, yet human wellbeing is also inherently linked to healthy societies and environments (sustainability). The IDEA Consortium is a systems ecology open science initiative to conduct the basic scientific research needed to build use-oriented simulations (avatars) of entire social-ecological systems. Islands are the most scientifically tractable places for these studies and we begin with one of the best known: Moorea, French Polynesia. The Moorea IDEA will be a sustainability simulator modeling links and feedbacks between climate, environment, biodiversity, and human activities across a coupled marine–terrestrial landscape. As a model system, the resulting knowledge and tools will improve our ability to predict human and natural change on Moorea and elsewhere at scales relevant to management/conservation actions.