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MACÁRIO, C. G. N.; SPERANZA, E. A.; PIEROZZI JÚNIOR, I.; QUEIRÓS, L. R.; VISOLI, M. C.; HIGA, R. H.; MASSRUHÁ, S. M. F. S.. |
A Empresa Brasileira de Pesquisa Agropecuária (Embrapa) produz uma grande quantidade de dados como resultado das pesquisa que realiza. Os dados gerados abrangem diferentes domínios: solos, clima, coleções, dados de animais, dados bibliográficos, entre outros. Muitas vezes os projetos trocam ou reúsam a informação produzidas. Apesar disso, muitos deles ainda são armazenados de diferentes formas e usando diferentes formatos, como planilhas, sistemas de banco de dados, papel, entre outros. A necessidade ou possibilidade de integração/compartilhamento de informação entre esses sistemas ou mesmo com outras instituições de pesquisa, desencadeou ações para a incorporação de novas estruturas e conceitos aos sistemas desenvolvidos, no sentido de facilitar a... |
Tipo: Folhetos |
Palavras-chave: Metadados; Interoperabilidade; Padrões de metadados; Metadata; Interoperability; Metadata standard. |
Ano: 2011 |
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/920501 |
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Quimbert, Erwann; Jeffery, Keith; Martens, Claudia; Martin, Paul; Zhao, Zhiming. |
After a brief reminder on general concepts used in data cataloguing activities, this chapter provides information concerning the architecture and design recommendations for the implementation of catalogue systems for the ENVRIplus community. The main objective of this catalogue is to offer a unified discovery service allowing cross-disciplinary search and access to data collections coming from Research Infrastructures (RIs). This catalogue focuses on metadata with a coarse level of granularity. It was decided to offer metadata representing different types of dataset series. Only metadata for so-called flagship products (as defined by each community) are covered by the scope of this catalogue. The data collections remain within each RI. For RIs, the aim is... |
Tipo: Text |
Palavras-chave: Catalogue; Metadata; Data; Interoperability; Standard; ISO; OGC; Format; Schema. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00642/75455/76273.pdf |
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Tanhua, Toste; Pouliquen, Sylvie; Hausman, Jessica; O’brien, Kevin; Bricher, Pip; De Bruin, Taco; Buck, Justin J. H.; Burger, Eugene F.; Carval, Thierry; Casey, Kenneth S.; Diggs, Steve; Giorgetti, Alessandra; Glaves, Helen; Harscoat, Valerie; Kinkade, Danie; Muelbert, Jose H.; Novellino, Antonio; Pfeil, Benjamin; Pulsifer, Peter L.; Van De Putte, Anton; Robinson, Erin; Schaap, Dick; Smirnov, Alexander; Smith, Neville; Snowden, Derrick; Spears, Tobias; Stall, Shelley; Tacoma, Marten; Thijsse, Peter; Tronstad, Stein; Vandenberghe, Thomas; Wengren, Micah; Wyborn, Lesley; Zhao, Zhiming. |
Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users. Effective data management requires collaboration across activities including observations, metadata and data assembly, quality assurance and control (QA/QC), and data publication that enables local and interoperable discovery and access and secures archiving that guarantees long-term preservation. To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean data and illustrate them with a few examples. In recent decades, ocean data... |
Tipo: Text |
Palavras-chave: FAIR; Ocean; Data management; Data services; Ocean observing; Standardization; Interoperability. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62068/66248.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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Schmidt, Sabine; Maudire, Gilbert; Nys, Cecile; Sudre, Joel; Harscoat, Valerie; Dibarboure, Gérald; Huynh, Frédéric. |
The past few decades have seen a marked acceleration in the amount of marine observation data derived using both in situ and remote sensing measurements. For example, high-frequency monitoring of key physical-chemical parameters has become an essential tool for assessing natural and human-induced changes in coastal waters as well as their consequences on society. The number and variety of data acquisition techniques require efficient methods of improving data availability. The challenge is to make ocean data available via interoperable portals, which facilitate data sharing according to Findable, Accessible, Interoperable, and Reusable (FAIR) principles for producers and users. Ocean DAta Information and Services (ODATIS) aims to become a unique gateway to... |
Tipo: Text |
Palavras-chave: Ocean; Data repository; Interoperability; FAIR; Data and service center. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00667/77872/80019.pdf |
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Ten Hoopen, Petra; Pesant, Stephane; Kottmann, Renzo; Kopf, Anna; Bicak, Mesude; Claus, Simon; Deneudt, Klaas; Borremans, Catherine; Thijsse, Peter; Dekeyzer, Stefanie; Schaap, Dick M. A.; Bowler, Chris; Gloeckner, Frank Oliver; Cochrane, Guy. |
Contextual data collected concurrently with molecular samples are critical to the use of metagenomics in the fields of marine biodiversity, bioinformatics and biotechnology. We present here Marine Microbial Biodiversity, Bioinformatics and Biotechnology (M2B3) standards for "Reporting" and "Serving" data. The M2B3 Reporting Standard (1) describes minimal mandatory and recommended contextual information for a marine microbial sample obtained in the epipelagic zone, (2) includes meaningful information for researchers in the oceanographic, biodiversity and molecular disciplines, and (3) can easily be adopted by any marine laboratory with minimum sampling resources. The M2B3 Service Standard defines a software interface through which these data can be... |
Tipo: Text |
Palavras-chave: Data standard; Marine; Molecular; Biodiversity; Microbial; Bioinformatics; Reporting; Interoperability. |
Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00311/42266/41588.pdf |
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