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| Registros recuperados: 24 | |
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| Vanlaar, Ward. |
| It is well known that looping over observations can be slow and should be avoided. The objective of this article is to discuss two alternative solutions to looping over observations that can be used to overcome a particular data-management problem of merging datasets in which unique key identifiers changed over time. The first alternative, mapch, which is introduced in this article, uses a combination of appending, indexing, and merging to solve the problem, while the second alternative uses repeated merging. Both solutions are much quicker than looping over observations. However, depending on the nature of the problem, one solution may work better than the other. It is argued that the use of such dataset-type manipulations may be suitable to overcome... |
| Tipo: Article |
Palavras-chave: Mapch; Appending; Data management; Indexing; Looping; Merging; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/122620 |
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| Vanden Berghe, Edward. |
| The Committee will be briefed on the discussions on the integration of OBIS within IOC/IODE, and reminded of the earlier history. A report will be presented on the deliberations during the Ad Hoc meetings of the Steering Group for IODE/OBIS. The Committee will be invited to: • Adopt the recommendations drafted by the Ad Hoc Steering Group, on the establishment of the Steering Group, including its terms of reference; on the establishment of a Group of Experts on OBIS, including its terms of reference; • Adopt the Terms of Reference for the Project Office for IODE/OBIS • Adopt the work plan and budget as drafted by the Ad Hoc meeting of the Steering Group • Recommend to IOC that enough funding will be made available to continue the operation of OBIS under... |
| Tipo: Working Paper |
Palavras-chave: Data management. |
| Ano: 2011 |
URL: http://hdl.handle.net/1834/5692 |
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| Maillard, Catherine; Balopoulos, E; Giorgetti, A; Fichaut, Michele; Iona, A; Larour, Michel; Latrouite, Armelle; Manca, B; Maudire, Gilbert; Nicolas, P; Sanchez Cabeza, J. |
| An advanced computer and communication technology was used to develop an integrated system and software tools for managing a great diversity of oceanographic data collected in the Mediterranean Sea during 1996-2000. Data were obtained during 108 sea cruises, carried out within the framework of the large-scale international research project MATER (mass transfer and ecosystem response), which was financially supported by the Marine Science and Technology (MAST) Programme of the European Union (EU). Data collection involved the active participation of various research vessels and personnel coming from 58 different laboratories of 13 countries. Data formatting as well as automatic and visual data quality controls were implemented using internationally accepted... |
| Tipo: Text |
Palavras-chave: Data product; Quality assurance; Data management; Ocean data; Mediterranean Sea. |
| Ano: 2002 |
URL: http://archimer.ifremer.fr/doc/2002/publication-489.pdf |
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| IOC for UNESCO. |
| The material on the "Black Sea Data Management Guide" are prepared in accordance with the working plans of the IOC Committee on International Data and Information Exchange (IODE) and its regional component in the Black Sea region to assist specialists of the Black Sea countries in the field of Data Management. The Guide includes the following items: • national oceanographic data centres, designated national agencies, other marine centres and institutions of the Black Sea region countries dealing with problems of oceanographic data; • current international and national projects and programs of the Black Sea region countries; • preliminary catalogue marine observation in the Black Sea; • bibliography of publications of the marine centres and institute of the... |
| Tipo: Report |
Palavras-chave: Marine sciences; Data management. |
| Ano: 2002 |
URL: http://hdl.handle.net/1834/4463 |
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| Klein,Daniela Regina; Vale,Marcos Martinez do; Silva,Mariana Fernandes Ribas da; Kuhn,Micheli Faccin; Branco,Tatiane; Santos,Mauricio Portella dos. |
| ABSTRACT The hatchery is one of the most important segments of the poultry chain, and generates an abundance of data, which, when analyzed, allow for identifying critical points of the process . The aim of this study was to evaluate the applicability of the data mining technique to databases of egg incubation of broiler breeders and laying hen breeders. The study uses a database recording egg incubation from broiler breeders housed in pens with shavings used for litters in natural mating, as well as laying hen breeders housed in cages using an artificial insemination mating system. The data mining technique (DM) was applied to analyses in a classification task, using the type of breeder and house system for delineating classes. The database was analyzed in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Attribute selection; Classification tree; Data management; Data mining and information technology. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000400501 |
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| Vanden Berghe, Edward. |
| The Committee will be briefed on the discussions to establish an IOC Project Office for IODE/Ocean Biogeographic Information System (OBIS). The Committee will be invited to: • Take note of the general discussions on the Adoption by IODE of the Ocean Biogeographic Information System • Take note of the Business Plan describing the operation of OBIS within the context of IOC, and work plan as formulated by the OBIS Managers Committee and the Ad-Hoc session of the OBIS Steering Group • Study the offer of Rutgers University Institute of Marine and Coastal Sciences, New Brunswick, NJ, USA, and the draft Memorandum of Understanding provided by Rutgers University, and compare the terms as described in this MOU with those as spelled out in document IOC/INF-1193, on... |
| Tipo: Working Paper |
Palavras-chave: Data management. |
| Ano: 2011 |
URL: http://hdl.handle.net/1834/5632 |
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| The International Conference on International Oceanographic Data & Information Exchange in the Western Pacific 1999 (ICIWP'99) was held in Langkawi, Malaysia from 1st to 4th November 1999. The Conference was aimed at bringing together scientists & data managers to discuss the many new challenges facing the International Oceanographic Data & Information Exchange (IODE) programme of the Intergovernmental Oceanographic Commission (IOC) in the region and to identify measures for increasing the effectiveness of the system. The IOC of UNESCO organised the Conference in collaboration with the Japan Oceanographic Data Center (JODC) and the Oceanographic Research Coordination Committee of Malaysia. It was financially supported by the Nippon Foundation... |
| Tipo: Report |
Palavras-chave: Data management. |
| Ano: 2000 |
URL: http://hdl.handle.net/1834/5669 |
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| The IOC-Sida-Flanders-SFRI Workshop on Ocean Data Management in the IOCINCWIO Region was held in Capetown, South Africa, November 30 to December 11, 1998. It was the second workshop on ocean data management in this region within the framework of the ‘Ocean Data and Information Network for Eastern Africa’ (ODINEA) project, funded by IOC, Sida and Flanders. The workshop’s objectives were (i) to provide in-depth data management training; and (ii) to discuss progress made in the development of NODCs or DNAs during the past year, within the framework of the ODINEA project which is part of the IOC’s IODE programme. The Workshop was organized in cooperation with and kindly hosted by the Sea Fisheries Research Institute of South Africa, and was held in the... |
| Tipo: Working Paper |
Palavras-chave: Oceanographic data; Data management; Http://aims.fao.org/aos/agrovoc/c_9000179. |
| Ano: 1998 |
URL: http://hdl.handle.net/1834/326 |
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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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| Quartey, R.; Yaqub, H.B.; Dovlo, E.K.; Amartey, P.N.A.; Koranteng, K.A.; Amador, K.. |
| The first ODINAFRICA-II National Workshop was held at the auditorium of the Science and Technology Policy Research Institute (STEPRI), Accra, Ghana on 15th and 16th August 2002. The aims of the workshop were to: Launch the ODINAFRICA II project in Ghana, inaugurate the National Oceanographic Data and Information Centres (GODC), update information available on the oceanographic activities of institutions and organizations in Ghana, adopt Data Policies and Procedures, and define the roles and responsibilities of the GODC. |
| Tipo: Report |
Palavras-chave: Oceanographic data; Oceanography; Oceanographic institutions; Information management; Data management; Oceanography; Http://aims.fao.org/aos/agrovoc/c_49838; Http://aims.fao.org/aos/agrovoc/c_9000179; Http://aims.fao.org/aos/agrovoc/c_12889. |
| Ano: 2002 |
URL: http://hdl.handle.net/1834/244 |
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| Mikhailov, Nikolay. |
| This document provides information on the work of the JCOMM/IODE Expert Team on Data Management Practices in the inter-sessional period (2009-2010). The committee is invited to consider the results of the ETDMP activities and also the proposal for revision of the ETDMP workplan for 2011 and 2012-2013. |
| Tipo: Working Paper |
Palavras-chave: Data management. |
| Ano: 2011 |
URL: http://hdl.handle.net/1834/5673 |
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| Smith, Shawn R.; Alory, Gaël; Andersson, Axel; Asher, William; Baker, Alex; Berry, David I.; Drushka, Kyla; Figurskey, Darin; Freeman, Eric; Holthus, Paul; Jickells, Tim; Kleta, Henry; Kent, Elizabeth C.; Kolodziejczyk, Nicolas; Kramp, Martin; Loh, Zoe; Poli, Paul; Schuster, Ute; Steventon, Emma; Swart, Sebastiaan; Tarasova, Oksana; Petit De La Villeon, Loic; Vinogradova-shiffer, Nadya. |
| The role ships play in atmospheric, oceanic, and biogeochemical observations is described with a focus on measurements made near the ocean surface. Ships include merchant and research vessels; cruise liners and ferries; fishing vessels; coast guard, military, and other government-operated ships; yachts; and a growing fleet of automated surface vessels. The present capabilities of ships to measure essential climate/ocean variables and the requirements from a broad community to address operational, commercial, and scientific needs are described. The authors provide a vision to expand observations needed from ships to understand and forecast the exchanges across the ocean–atmosphere interface. The vision addresses (1) recruiting vessels to improve both... |
| Tipo: Text |
Palavras-chave: Ships; Observations; Meteorology; Physical oceanography; Biogeochemistry; Data management; Climatology. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62042/66191.pdf |
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| Cox, Nicholas J.. |
| Counting panels, and more generally groups, is sometimes possible in Stata through a reduction command (e.g., collapse, contract, statsby) that produces a smaller dataset or through a tabulation command. Yet there are also many problems, especially with irregular sets of observations for varying times, that do not yield easily to this approach. This column focuses on techniques for answering such questions while maintaining the same data structure. Especially useful are the Stata commands by: and egen and indicator variables constructed for the purpose. With by: we often exploit the fact that subscripts are defined within group, not within dataset. egen functions are often used to produce group-level statistics. Tagging each group just once ensures that... |
| Tipo: Article |
Palavras-chave: Data management; Panels; Research Methods/ Statistical Methods. |
| Ano: 2007 |
URL: http://purl.umn.edu/119295 |
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| Cox, Nicholas J.; Longton, Gary M.. |
| Distinct observations are those different with respect to one or more variables, considered either individually or jointly. Distinctness is thus a key aspect of the similarity or difference of observations. It is sometimes confounded with uniqueness. Counting the number of distinct observations may be required at any point from initial data cleaning or checking to subsequent statistical analysis. We review how far existing commands in official Stata offer solutions to this issue, and we show how to answer questions about distinct observations from first principles by using the by prefix and the egen command. The new distinct command is offered as a convenience tool. |
| Tipo: Article |
Palavras-chave: Distinct; By; Egen; Distinctness; Uniqueness; Data management; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/122622 |
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| Cox, Nicholas J.. |
| Spells in time series (and more generally in any kind of one-dimensional series) may be defined as sequences of observations that are homogeneous in some sense. For example, a categorical variable may remain in the same state, or values of a measured variable may satisfy the same true–false condition. Devices for working with spells in Stata include marking the start of each spell with indicator variables and tagging spells with integer codes. Panel data are easy to handle with the by: prefix. Some kinds of spell identification require two passes through the data, as when only spells of some minimum length are of interest or short gaps are tolerable within spells. Many questions concerning spells are easy to answer given careful use of by: and appropriate... |
| Tipo: Article |
Palavras-chave: Spells; Runs; Time series; Data management; Research Methods/ Statistical Methods. |
| Ano: 2007 |
URL: http://purl.umn.edu/119273 |
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| Registros recuperados: 24 | |
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