Relevant bibliographies by topics / Data collection from field

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data collection from field'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Data collection from field"

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Malik, Amin, Marco d’Errico, Danvers Omolo, and Benjamin Gichane. "Building resilience in Somalia; evidence from field data collection." Journal of Development Effectiveness 12, no. 4 (2020): 323–40. http://dx.doi.org/10.1080/19439342.2020.1840421.

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Kuzeljevic, Zeljko, Milorad Dudukovic, and Hugh Stitt. "From Laboratory to Field Tomography: Data Collection and Performance Assessment." Industrial & Engineering Chemistry Research 50, no. 17 (2011): 9890–900. http://dx.doi.org/10.1021/ie101759s.

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Roberts, Karen. "From Field to Filed: Minimising and Mitigating Risks of Data Error and Loss in a Vertebrate Zoology Collection." Biodiversity Information Science and Standards 2 (June 13, 2018): e26344. http://dx.doi.org/10.3897/biss.2.26344.

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One of the key risks identified for the Vertebrate Zoology (VZ) Collections at Museums Victoria has been data error, loss and dissociation. These risks are highest during the stages involved in preparing the specimen for lodgement in the collection (from collecting and accession of the specimen, to preparation, labelling and so on). The VZ Collections data are managed through an electronic collection information system (EMu) but the process of data transferral and input can be time-consuming and error-prone at many steps along the way. The two main methods of specimen acquisition in the Mammalogy, Ornithology and Herpetology collections in recent years have been internal field programs and external stakeholder donations. Prior to 2012, most specimen data from both of these methods of acquisition were handwritten and transcribed one or more times by multiple people before a specimen ended up in the primary database. An assortment of other identifying numbers or codes were used prior to a collection number being assigned, and sometimes these have been difficult to match up or reconcile. The amount of time needed to enter this information manually also increased the risk of data dissociation and specimen misplacement, as it could significantly delay getting specimens lodged correctly in the collection. Since 2012, a number of steps have been taken by the VZ Collection staff to reduce these risks and streamline data processing. For internal field programs in Mammalogy and Ornithology, a field data-collecting tool has been developed using FileMaker Pro. This enables direct input of specimen and field data into our FileMaker field database using the FileMaker Go app on iPad that is then exportable to an Excel spreadsheet for upload to EMu. Specimens are given field numbers initially, and a collection number once at the museum. Data processing is simplified as most specimens undergo full preparation in the field. We have also developed an upload spreadsheet in Excel that can be used by internal or external researchers who are lodging bulk lots of specimens. Thus we receive the mandatory data we require, and it is already in a format we can easily upload to EMu. For external stakeholder donations, preparation is completed at the museum so all data available upon donation are entered directly into EMu. A collection registration number is applied as soon as a specimen is accessioned so there is only one number required to track it during and after preparation. All specimen-related data generated during preparation are still handwritten and then transcribed direct to the electronic catalogue record by collection managers. These procedures continue to be refined, but have significantly enhanced specimen and associated data management. Accidental data loss through technical issues, for example possible iPad data-loss before backup, human error at data input stage such as overwriting a record, or incorrectly assigning field number, have been minimal. Also, we will continue to decrease the need for data transcription by encouraging internal and external researchers to use our data-upload spreadsheet, and training preparation staff to enter specimen data directly into the specimen catalogue record in EMu.
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Egan, Patrick. "Perspectives from the Field: Environmental Data Collection and Unmanned Aircraft Systems." Environmental Practice 17, no. 3 (2015): 233–34. http://dx.doi.org/10.1017/s1466046615000228.

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Fritz, Roschelle L., and Roxanne Vandermause. "Data Collection via In-Depth Email Interviewing: Lessons From the Field." Qualitative Health Research 28, no. 10 (2017): 1640–49. http://dx.doi.org/10.1177/1049732316689067.

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This methods article is a reflection on the use of in-depth email interviewing in a qualitative descriptive study. The use of emailing to conduct interviews is thought to be an effective way to collect qualitative data. Building on current methodological literature in qualitative research regarding in-depth email interviewing, we move the conversation toward elicitation of quality data and management of multiple concurrent email interviews. Excerpts are shared from a field journal that was kept throughout one study, with commentary on developing insights. Valuable lessons learned include the importance of (a) logistics and timing related to the management of multiple concurrent email interviews, (b) language and eliciting the data, (c) constructing the email, and (d) processing text-based data and preparing transcripts. Qualitative researchers seeking deeply reflective answers and geographically diverse samples may wish to consider using in-depth email interviews.
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Free, David. "News from the Field." College & Research Libraries News 82, no. 3 (2021): 102. http://dx.doi.org/10.5860/crln.82.3.102.

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Library Accessibility Alliance adds new partnersCall for applications, nominations for ACRL Publications in Librarianship (PIL) editorLibrary, higher education groups debut effective data practices toolkitProject MUSE journal collection updatesLibrary Futures Institute launchesLibAnswers adds new featuresACRL Learning Analytics Toolkit
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Nagatsuma, T., K. Hayashi, D. J. McEwen, and T. Obara. "Real time collection of geomagnetic field data from northern near-pole region." Advances in Space Research 31, no. 4 (2003): 1081–85. http://dx.doi.org/10.1016/s0273-1177(02)00805-0.

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Burke, Lisa A., and Karen E. James. "Using online surveys for primary research data collection: lessons from the field." International Journal of Innovation and Learning 3, no. 1 (2006): 16. http://dx.doi.org/10.1504/ijil.2006.008177.

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Macpherson, Diana, Sadie Mills, and Caroline Chin. "Managing Data in the NIWA Invertebrate Collection: Past and Present Methodology." Biodiversity Information Science and Standards 2 (June 13, 2018): e25786. http://dx.doi.org/10.3897/biss.2.25786.

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The National Institute of Water and Atmospheric Research (NIWA) Invertebrate Collection is a Nationally Significant Collection consisting of around 300,000 marine invertebrate specimen jars housed at the NIWA Greta Point campus in Wellington, New Zealand. Our collection holdings include samples from New Zealand, Antarctic and Pacific waters and represent over 70 years of collecting and is still growing. We estimate approximately 40% of our collections are registered and digitally accessible (about 127,000 records since digital registering began in 2004), with most of our unregistered material being historical collections. We are the repository for several important historical collections, one of the largest being the former New Zealand Oceanographic Institute (NZOI) collection, a taxonomically diverse and a geographically wide-ranging collection which occurred from the 1950’s to the early 1990’s. Associated specimen information such as station data and taxonomic identification for these historical collections are managed by NIWA staff and are in the form of Microsoft Excel and Access spreadsheets, NIWA and NZOI Biodiversity Memoirs, and online via the NIWA cruise and station database. These data are manually collated and registered into our Specify collections software specimen database which offers a unified and comprehensive data repository for our historical specimens, therefore greatly improving data accessibility. To expedite the availability of data and improve access to specimens for our users we are focusing on the registration of both important historical and taxonomic collections, and streamlining the registration of specimens in the field onboard NIWA's research vessel Tangaroa. Our field registration and curation techniques have been fine-tuned over the years and now we are capturing data directly into a shipboard copy of Specify in the sorting lab on the ship, printing labels with a thermal printer, and importing data back to our home version following the end of the voyage using Specify's Workbench feature. This process reduces the time spent double-handling specimens and entering data off paper record sheets and allows the capture of data directly into our database immediately after collection and sorting onboard the ship.
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Isaac, Peter, James Cleverly, Ian McHugh, Eva van Gorsel, Cacilia Ewenz, and Jason Beringer. "OzFlux data: network integration from collection to curation." Biogeosciences 14, no. 12 (2017): 2903–28. http://dx.doi.org/10.5194/bg-14-2903-2017.

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Abstract. Measurement of the exchange of energy and mass between the surface and the atmospheric boundary-layer by the eddy covariance technique has undergone great change in the last 2 decades. Early studies of these exchanges were confined to brief field campaigns in carefully controlled conditions followed by months of data analysis. Current practice is to run tower-based eddy covariance systems continuously over several years due to the need for continuous monitoring as part of a global effort to develop local-, regional-, continental- and global-scale budgets of carbon, water and energy. Efficient methods of processing the increased quantities of data are needed to maximise the time available for analysis and interpretation. Standardised methods are needed to remove differences in data processing as possible contributors to observed spatial variability. Furthermore, public availability of these data sets assists with undertaking global research efforts. The OzFlux data path has been developed (i) to provide a standard set of quality control and post-processing tools across the network, thereby facilitating inter-site integration and spatial comparisons; (ii) to increase the time available to researchers for analysis and interpretation by reducing the time spent collecting and processing data; (iii) to propagate both data and metadata to the final product; and (iv) to facilitate the use of the OzFlux data by adopting a standard file format and making the data available from web-based portals. Discovery of the OzFlux data set is facilitated through incorporation in FLUXNET data syntheses and the publication of collection metadata via the RIF-CS format. This paper serves two purposes. The first is to describe the data sets, along with their quality control and post-processing, for the other papers of this Special Issue. The second is to provide an example of one solution to the data collection and curation challenges that are encountered by similar flux tower networks worldwide.
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Dissertations / Theses on the topic "Data collection from field"

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Richards, Kevin Tarn 1976. "Hydrologic and water quality modeling with HSPF : utilization of data from a novel field data collection system and historical archives." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/28243.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.<br>Includes bibliographical references (leaf 63).<br>Catchment-scale hydrology and water quality studies are empowered by current mobile computing, wireless, and Internet technologies to new levels of technical assessment capability. These technical developments motivate an investigation into the modem uses of hydrologic and water quality models. The Hydrologic Simulation Program - FORTRAN (HSPF) is applied using data from the Williams River basin, New South Wales, Australia. The Williams River is an agricultural catchment with interesting physical characteristics and various non-point source water quality issues that warrant a modeling investigation to characterize the hydrology of this large and heavily utilized water resource. Model inputs include 1) a thorough set of Geographic Information System (GIS) files utilized in a closely coupled interface with the HSPF algorithms; 2) time series meteorologic and water quality datasets from historical archives; and 3) supplemental data obtained during a technically enabled field sampling campaign. These inputs are formatted for import to the HSPF routines, streamflow is simulated, and outputs are analyzed for accuracy.<br>by Kevin Tarn Richards.<br>M.Eng.
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Lukeman, Ryan J. "Modeling collective motion in animal groups : from mathematical analysis to field data." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/11873.

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Animals moving together cohesively is a commonly observed phenomenon in biology, with bird flocks and fish schools as familiar examples. Mathematical models have been developed in order to understand the mechanisms that lead to such coordinated motion. The Lagrangian framework of modeling, wherein individuals within the group are modeled as point particles with position and velocity, permits construction of inter-individual interactions via `social forces' of attraction, repulsion and alignment. Although such models have been studied extensively via numerical simulation, analytical conclusions have been difficult to obtain, owing to the large size of the associated system of differential equations. In this thesis, I contribute to the modeling of collective motion in two ways. First, I develop a simplified model of motion and, by focusing on simple, regular solutions, am able to connect group properties to individual characteristics in a concrete manner via derivations of existence and stability conditions for a number of solution types. I show that existence of particular solutions depends on the attraction-repulsion function, while stability depends on the derivative of this function. Second, to establish validity and motivate construction of specific models for collective motion, actual data is required. I describe work gathering and analyzing dynamic data on group motion of surf scoters, a type of diving duck. This data represents, to our knowledge, the largest animal group size (by almost an order of magnitude) for which the trajectory of each group member is reconstructed. By constructing spatial distributions of neighbour density and mean deviation, I show that frontal neighbour preference and angular deviation are important features in such groups. I show that the observed spatial distribution of neighbors can be obtained in a model incorporating a topological frontal interaction, and I find an optimal parameter set to match simulated data to empirical data.
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Ostrodka, Lenna Moy. "From Water Guns to Science Clubs: A Field-to-Classroom Internship with the USGS." Miami University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=miami1355003793.

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Voborník, Petr. "Výzkum spolehlivosti statických elektroměrů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220102.

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This work deals with setting of dependability of static electricity meters. The first two chapters deal about electricity meters and dependability in general than there are introduced three possible ways for getting dependability parameters. The first methode is data collection from the field. The second methode is reliability prediction from component's reliability. The third methode is aging life tests. Conclusion contains evaluation of results and highligting of importance for practical usage.
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Brewer, Peter W., and Christopher H. Guiterman. "A new digital field data collection system for dendrochronology." Laboratory of Tree-Ring Research, University of Arizona, 2016. http://hdl.handle.net/10150/622364.

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A wide variety of information or 'metadata' is required when undertaking dendrochronological sampling. Traditionally, researchers record observations and measurements on field notebooks and/or paper recording forms, and use digital cameras and hand-held GPS devices to capture images and record locations. In the lab, field notes are often manually entered into spreadsheets or personal databases, which are then sometimes linked to images and GPS waypoints. This process is both time consuming and prone to human and instrument error. Specialised hardware technology exists to marry these data sources, but costs can be prohibitive for small scale operations (>$2000 USD). Such systems often include proprietary software that is tailored to very specific needs and might require a high level of expertise to use. We report on the successful testing and deployment of a dendrochronological field data collection system utilising affordable off-the-shelf devices ($100-300 USD). The method builds upon established open source software that has been widely used in developing countries for public health projects as well as to assist in disaster recovery operations. It includes customisable forms for digital data entry in the field, and a marrying of accurate GPS location with geotagged photographs (with possible extensions to other measuring devices via Bluetooth) into structured data fields that are easy to learn and operate. Digital data collection is less prone to human error and efficiently captures a range of important metadata. In our experience, the hardware proved field worthy in terms of size, ruggedness, and dependability (e.g., battery life). The system integrates directly with the Tellervo software to both create forms and populate the database, providing end users with the ability to tailor the solution to their particular field data collection needs.
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Haddock, Paul C. "TELEMETERY DATA COLLECTION FROM OSCAR SATELLITES." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/607347.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California<br>This paper discusses the design, configuration, and operation of a satellite station built for the Center for Space Telemetering and Telecommunications Laboratory in the Klipsch School of Electrical and Computer Engineering Engineering at New Mexico State University (NMSU). This satellite station consists of a computer-controlled antenna tracking system, 2m/70cm transceiver, satellite tracking software, and a demodulator. The satellite station receives satellite telemetry, allows for voice communications, and will be used in future classes. Currently this satellite station is receiving telemetry from an amateur radio satellite, UoSAT-OSCAR-11. Amateur radio satellites are referred to as Orbiting Satellites Carrying Amateur Radio (OSCAR) satellites.
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Songar, Poonam. "Learning Assessment Data Collection from Educational Game Applications." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353900797.

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Palencia, Arreola Daniel Heriberto. "Arguments for and field experiments in democratizing digital data collection : the case of Flocktracker." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121749.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages [127]-131).<br>Data is becoming increasingly relevant to urban planning, serving as a key input for many conceptions of a "smart city." However, most urban data generation results from top-down processes, driven by government agencies or large companies. This provides limited opportunities for citizens to participate in the ideation and creation of the data used to ultimately gain insights into, and make decisions about, their communities. Digital community data collection can give more inputs to city planners and decision makers while also empowering communities. This thesis derives arguments from the literature about why it would be helpful to have more participation from citizens in data generation and examines digital community mapping as a potential niche for the democratization of digital data collection.<br>In this thesis, I examine one specific digital data collection technology, Flocktracker, a smartphone-based tool developed to allow users with no technical background to setup and generate their own data collection projects. I define a model of how digital community data collection could be "democratized" with the use of Flocktracker. The model envisions a process in which "seed" projects lead to a spreading of Flocktracker's use across the sociotechnical landscape, eventually producing self-sustaining networks of data collectors in a community. To test the model, the experimental part of this research examines four different experiments using Flocktracker: one in Tlalnepantla, Mexico and three in Surakarta, Indonesia. These experiments are treated as "seed" projects in the democratization model and were setup in partnership with local NGOs.<br>The experiments were designed to help understand whether citizen participation in digital community mapping events might affect their perceptions about open data and the role of participation in community data collection and whether this participation entices them to create other community datasets on their own, thus starting the democratization process. The results from the experiments reveal the difficulties in motivating community volunteers to participate in technology-based field data collection. While Flocktracker proved easy enough for the partner organizations to create data collection projects, the technology alone does not guarantee participation. The envisioned "democratization" model could not be validated. Each of the experiments had relatively low levels of participation in the community events that were organized.<br>This low participation, in turn, led to inconclusive findings regarding the effects of community mapping on participants' perceptions and on the organizations themselves. Nonetheless, numerous insights emerge, providing lessons for the technology and how it might be better used in the future to improve digital community mapping events.<br>by Daniel Heriberto Palencia Arreola.<br>M.C.P.<br>M.C.P. Massachusetts Institute of Technology, Department of Urban Studies and Planning
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Baradaranshokouhi, Yashar. "Estimation of neural field models from spatiotemporal electrophysiological data." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/9665/.

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The human brain is one of the most complex systems faced in research and science. Different methods and theories from various categories of science and engineering have contributed to understanding the functionality of the brain and its underlying structure. However, development of a complete theory remains a huge challenge. Among many different aspects of this field of research, one of the main branches is focused on brain disorders, causes and possible improvements to treatments and patients' life quality. To tackle this challenge, experimental and clinical measurements have been used with computational models to analyse and contribute to treatments of brain disorders. Signal processing is playing a key role on detecting key features out of brain electrical recordings and developing frameworks that can give insight into underlying structure of recorded observations. As part of the scope of this thesis, previous work have been extended by relaxing some of the assumptions in earlier work and checking the performance of developed framework under new conditions. The main focus of this thesis is based on application of Unscented Kalman Filter with Amari type model for human brain electrical activities. It is assumed that Amari type models can present the underlying dynamics of the brain activity. The Amari type model is presented in state space form and by use of a decomposition method, the estimation framework has been used to estimate the states and connectivity kernel gains. Heterogeneous connectivity is considered as long range connection in a neural network. The novelty introduced in this thesis is the introduction of a heterogeneous connectivity kernel in Amari type model and estimating the connectivity strength. Applications of the developed methods on the synthetic data are applied on epilepsy data and results are presented. By monitoring the parameters, it is possible to show that brain dynamics from normal to abnormal states can be detected. Further research and future work in this area can potentially lead to prediction of seizure and eventually improving life quality of patients with epilepsy.
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Klingsbo, Lukas. "NoSQL: Moving from MapReduce Batch Jobs to Event-Driven Data Collection." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260394.

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Collecting and analysing data of analytical value is important for many service providers today. Many make use of NoSQL databases for their larger software systems, what is less known is how to effectively analyse and gather business intelligence from the data in these systems. This paper suggests a method of separating the most valuable analytical data from the rest in real time and at the same time providing an effective traditional database for the analyser. In this paper we analyse our given data sets to decide whether big data tools are required and then traditional databases are compared to see how well they fit the context. A technique that makes use of an asynchronous log- ging system is used to insert the data from the main system to the dedicated analytical database. The tests show that our technique can efficiently be used with a tra- ditional database even on large data sets (&gt;1000000 insertions/hour per database node) and still provide both historical data and aggregate func- tions for the analyser.
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Books on the topic "Data collection from field"

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M, Herzberg A., ed. Data: A collection of problems from many fields for the student and research worker. Springer-Verlag, 1985.

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Bounegru, Liliana, and Jonathan Gray, eds. The Data Journalism Handbook. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462989511.

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The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a "behind the scenes" look at the social lives of data sets, data infrastructures, and data stories in newsrooms, media organizations, start-ups, civil society organizations and beyond. The book includes sections on "doing issues with data," "assembling data," "working with data," "experiencing data," "investigating data, platforms and algorithms," "organizing data journalism," "learning data journalism together" and "situating data journalism."
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Henry, Hubert A. Automated field survey data collection system. Transportation Research Board, National Research Council, 1987.

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Blatt, Alan, John Pierowicz, Marie Flanigan, et al. Naturalistic Driving Study: Field Data Collection. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22367.

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Weydert, M. Data Collection from remote stations via Meteosat. Commission of the European Communities, 1988.

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Hill, D. A. Far-field transient response of an antenna from near-field data. U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Hill, D. A. Far-field transient response of an antenna from near-field data. U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Hill, D. A. Far-field transient response of an antenna from near-field data. U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Hill, D. A. Far-field transient response of an antenna from near-field data. U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Birkemeier, William A. A collection of storm erosion field data. U.S. Army Engineer Waterways Experiment Station, 1988.

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Book chapters on the topic "Data collection from field"

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Lijtmaer, Darío A., Kevin C. R. Kerr, Mark Y. Stoeckle, and Pablo L. Tubaro. "DNA Barcoding Birds: From Field Collection to Data Analysis." In DNA Barcodes. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-591-6_7.

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Schweiger, Anna K. "Spectral Field Campaigns: Planning and Data Collection." In Remote Sensing of Plant Biodiversity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_15.

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AbstractThis chapter focuses on planning field campaigns and data collection relevant to plant biodiversity. Particular emphasis is placed on sampling spectra of plants across scales, from the leaf to the canopy and airborne level, considering the issue of matching ecological data with spectra. The importance of planning is highlighted from the perspective of the long-term sustainability of a project, which includes using and contributing to the development of standards for project documentation and archiving. These issues are critical to biodiversity researchers involved in data collection in situ and via remote sensing (RS).
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Kritzer, Herbert M. "Stories from the Field: Collecting Data Outside Over There." In Practicing Ethnography in Law. Palgrave Macmillan US, 2002. http://dx.doi.org/10.1007/978-1-137-06573-5_9.

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Sidze, Sandrine M., Thomas Köhler, and Joerg Szarzynski. "Ethical Issues in Collecting Data from Informant of the Field." In Research Ethics in the Digital Age. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-12909-5_9.

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Berenguel, Manuel, Ryszard Klempous, Henryk Maciejewski, Jan Nikodem, Maciej Nikodem, and Loreto Valenzuela. "Explanatory Analysis of Data from a Distributed Solar Collector Field." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556985_83.

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Hudson-Smith, Andrew, Duncan Wilson, Steven Gray, and Oliver Dawkins. "Urban IoT: Advances, Challenges, and Opportunities for Mass Data Collection, Analysis, and Visualization." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_38.

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AbstractUrban Internet of Things (IoT) is in an early speculative phase. Often linked to the smart city movement, it provides a way of sensing and collecting data—environmental, societal, and transitional—both automatically, remotely, and with increasing levels of spatial and temporal detail. From city-wide data collection down to the scale of individual buildings and rooms, this chapter details the technology behind the rise of IoT in urban areas and explores the challenges (societal and technical) behind city-wide deployments. Drawing from a series of deployments at the Queen Elizabeth Olympic Park, London, it details the challenges and opportunities for mass data collection. Widening out the view, it looks at what is becoming known as “the humble lamp post” in Urban IoT fields to detail the potential of Urban IoT with the objects that already form part of the urban fabric. Finally, it examines the potential of Urban IoT for input into urban modeling and how we are on the edge of a shift in the collection, analysis, and communication of urban data.
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Zimmerman, Timothy D. "Field-Based Data Collection." In Encyclopedia of Science Education. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-2150-0_32.

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Zimmerman, Timothy D. "Field-Based Data Collection." In Encyclopedia of Science Education. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-6165-0_32-2.

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Clements, Hayley, Karen Esler, Dominic A. W. Henry, Penelope Mograbi, Albert Norström, and Chevonne Reynolds. "Ecological field data collection." In The Routledge Handbook of Research Methods for Social-Ecological Systems. Routledge, 2021. http://dx.doi.org/10.4324/9781003021339-8.

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Rio, Marlène, Marie-George Tournoud, Christian Salles, et al. "Characterization of the Dynamics of Microbiological and Chemical Contaminants in an Urban Catchment in South of France: From Field Data Collection to Modelling." In New Trends in Urban Drainage Modelling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_118.

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Conference papers on the topic "Data collection from field"

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Lugo, David, and Juan Ortega. "Mobile Data Collection." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-42230.

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A key process in the oil industry to make decisions is data collection. To improve productivity it is important data and information analysis. For many organizations is not profitable data automation, which has an impact in the way organizations, collect data. Data collection is taken by manual processes that create uncertainty for analysis because it is not reliable. As consequence, making a decision has not the planned results. After working for many years in the oil industry was identified: 1. People collecting data in a manual process normally by using a piece of paper which could be lost or damage. 2. After taking data at the well, data are brought to the office. Then, data are downloaded by another worker in computer software. It can be modified intentionally or not. 3. Accuracy of data collection activity is carried out. How do we know if the staff really went to work area? 4. Training to new staff, lack of experience? 5. There are “risks zones” due vandalism, facilities are damaged by people who stole devices which causes great money losses to companies. All these mentioned factors affect decision making which has a big impact in the production process. This application helps the whole process from collection data until data are registered in databases. This application considered several observations, suggestions and comments from people involve in the oil industry, especially at the production area. As a result, it is a tool that support data collection, standardize information in databases, improve data quality (it doesn’t matter localization), shows time and photographic position in a mobile device. Information is generated digitally taking advantage of easy handling. To summarize advantages of the whole system: • Reduce time of the data re-collection process • Improve data quality • Reduce amount of people working on data registration • Data reliability • Support decisions making • Minimize the use of paper in order to help ambient environment • Improve vehicle logistics • Minimize use of gasoline which helps to reduce costs • Help to optimize routes for vehicles on the field • Productivity, Maintenance, etc., reports can be generated • Vandalism is not a problem
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Cysouw, Lee A., Douglas C. Osburn, and Nader M. Rabadi. "Cybersecurity From Field to Host." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64160.

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Remote communications to field devices for data monitoring and controls has greatly reduced operating costs, reduced downtime, and helped to optimize our industry. With the ever growing threat of cyber-attacks, the need for securing that data is becoming a more common topic of discussion. Whether collecting SCADA or Measurement data from the field, doing remote configuration, or even sitting dormant, it is important to keep the line of communication to your devices secure. This presentation will discuss potential threats and examples of cyber-attacks. It will cover industry standards, types of cyber security, and the importance and best practices for securing data for Measurement and/or SCADA and control systems.
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Afzalan, Milad, Farrokh Jazizadeh, and Mehdi Ahmadian. "Toward Railway Automated Defect Detection From Onboard Data Using Deep Learning." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8031.

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Abstract Regular monitoring of railway systems is imperative for improving safety and ride quality. To this end, data collection is carried out regularly in the rail industry to document performance and maintenance. The use of machine learning methods in the past recent years has provided opportunities for improved data processing and defect detection and monitoring. Such methods rely on installing instrumentation wayside or collecting data from onboard rolling stock. Using the former approach, only specific locations can be monitored, which could hinder covering a large territory. The latter, however, enables monitoring large sections of track, hence proving far more spatial efficiency. In this paper, we have investigated the feasibility of rail defect detection using deep learning from onboard data. The source of data is acceleration and track geometry collected from onboard railcars. Such an approach allows collecting a large set of data on a regular basis. A long short-term memory (LSTM) architecture is proposed to examine the measured time-series to flag potential track defects. The proposed architecture investigates the characteristics of time-series signatures during a short time (∼ls) and classifies the associated track segment to normal/defect states. Furthermore, a novel automated labeling method is proposed to parse the exception report data (recorded by the maintenance team) and label defects for associated time-series signatures during the training phase. In a pilot study, field data from a revenue service Class I railroad has been used to evaluate the proposed deep learning method. The results show that it is possible to efficiently analyze the data (collected onboard a railcar operated in revenue service) for automated defect detection, with relatively higher accuracy for FRA type I defects.
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Hein, Albert, Frank Kruger, Sebastian Bader, Peter Eschholz, and Thomas Kirste. "Challenges of collecting empirical sensor data from people with dementia in a field study." In 2017 IEEE International Conference on Pervasive Computing and Communications: Workshops (PerCom Workshops). IEEE, 2017. http://dx.doi.org/10.1109/percomw.2017.7917512.

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Padamsee, Tasleem J. "Abstract A046: Collecting nonclinical data to address disparities in cancer prevention: Lessons from the field." In Abstracts: Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; September 20-23, 2019; San Francisco, CA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7755.disp19-a046.

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Yildirim, Ilker, and Sezai Taskin. "A smart approach on collecting working condition data from home appliances under the field test." In 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG). IEEE, 2017. http://dx.doi.org/10.1109/sgcf.2017.7947620.

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Lopez-Gallego, Cristina. "Understanding Life History of Zamia Species Using Data from Field Studies and Botanical Collections." In CYCAD 2011. The New York Botanical Garden Press, 2018. http://dx.doi.org/10.21135/893275389.013.

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Mohammadlou, Mohammadhossein, Matthew Guy Reppert, Roxane Del Negro, and George Jones. "THE IMPACT OF OVERBALANCED DRILLING FROM EXPLORATION/APPRAISAL WELLS TO FIELD DEVELOPMENT PLAN." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0013.

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During well planning, drillers and petrophysicists have different principle objectives. The petrophysicist’s aim is to acquire critical well data, but this can lead to increased operational risk. The driller is focused on optimizing the well design, which can result in compromised data quality. In extreme cases, the impact of well design on petrophysical data can lead to erroneous post-well results that impact the entire value-chain assessment and decision making toward field development. In this paper, we present a case study from a syn-rift, Upper Jurassic reservoir in the Norwegian Sea where well design significantly impacted reservoir characterization. Three wells (exploration, appraisal, and geopilot) are compared in order to demonstrate the impact of overbalanced drilling on well data from both logs and core. Implications for reservoir quality assessment, volume estimates, and the errors introduced into both a static geomodel and dynamic reservoir simulation are discussed. This case study highlights the importance of optimizing well design for petrophysical data collection and demonstrates the potential for value creation. Extensive data collection was initially carried out in both exploration and appraisal wells, including full sets of logging while drilling (LWD), wireline logging, fluid sampling, and extensive coring. Both wells were drilled with considerable overbalanced mud weights due to the risk of overpressured reservoirs in the region. The log data was subsequently corrected for significant mud-filtration invasion, with calibration to core measurements guiding the interpretation. Geological and reservoir models were built based on results from the two wells, and development wells were planned accordingly. A thorough investigation of core material raised suspicion that there could also be a significant adverse effect of core properties resulting from overbalanced drilling. The implications were so significant for the reservoir volume that a strategic decision was made to drill a geopilot well close to the initial exploration well, prior to field development drilling. The well was drilled six years after the initial exploration phase with considerably lower overbalance. Extensive well data, including one core, were acquired. The recovered core was crucial in order to compare the reservoir properties for comparable facies between all three wells. The results from the core demonstrate distinctly different rock quality characteristics, especially at the high end of the reservoir quality spectrum. Results of the core study confirmed the initial hypothesis that overbalanced drilling had significantly impacted the properties of the core as well as the well logs. The study concluded that the updated reservoir model properties would significantly increase the in-place volumes compared to the pre-geopilot estimate. This study shows how well design adversely affected petrophysical measurements and how errors in these data compromised geological and reservoir models, leading to a suboptimal field development plan that eroded significant value. This example provides a case study that can be used to improve the well design so that petrophysicists and drillers can both be part of the same value creation result. Future work will include further laboratory investigations on the effects of high overbalanced drilling on core and possible “root causes” for compromised core integrity.
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Sichterman, Bo, Mariecke Schipper, Max Verstappen, Philippine Waisvisz, and Stan van Ginkel. "The Impact of Computer-Mediated Delayed Feedback on Developing Oral Presentation Skills: an Experimental Study in Virtual Reality." In Digital Support from Crisis to Progressive Change. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-485-9.48.

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Previous studies emphasize that feedback is essential for acquiring presentation skills. However, it remains unknown whether computer-mediated delayed feedback, provided in Virtual Reality (VR) without the intervention of the teacher, impacts students’ public speaking skills. Recent technological developments allowed to convert quantitative information from VR-systems into qualitative feedback messages that directly relate to the standards for high-quality feedback. This experimental field study, therefore, focuses on the impact of automated, qualitative feedback messages in a VR-system on students’ presentation skills development (n = 60). The effects are compared with a validated condition in which the delayed VR-feedback is delivered by an expert. Mixed methods, including validated rubrics and self-evaluation tests, are used for data collection. This study aims to refine educational design principles concerning effective feedback in presentation curricula. Furthermore, the results should provide insights about supporting feedback processes while releasing the pressure on resources such as time and staffing.
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Contreras, Dori L. "FROM FIELD COLLECTIONS TO DIGITAL DATA: A WORKFLOW AND DIGITIZATION PIPELINE FOR RECONSTRUCTION OF A CRETACEOUS MACROFLORA." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-286872.

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Reports on the topic "Data collection from field"

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McCullouch, Bob. Automating Field Data Collection in Maintenance Operations. Purdue University, 1997. http://dx.doi.org/10.5703/1288284313466.

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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA’s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation’s Biological and Chemical Oceanography Data Management Office (BCO-DMO).
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Garcia, Andrew W. Coastal Field Data Collection Program. Hurricane Gilbert Storm Surge Data. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada218752.

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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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Fagerburg, Timothy L. San Juan Bay and Estuary Study: Hydrodynamic Field Data Collection. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada351071.

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Doerry, Armin W., and Douglas L. Bickel. Spotlight SAR Data Collection Geometry from ECEF Coordinates. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1641881.

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Page, L. A., T. D. Kirkpatrick, and L. Stevens. Hazardous waste shipment data collection from DOE sites. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10115150.

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Lee, Timothy. Developing a User-Driven Framework for Generating Field Data Collection Applications. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1169836.

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Tobin, K. W., D. B. Allen, J. S. Goddard, et al. RGB field system data collection and testing for textile print finishing. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/10116014.

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Byers, Loren W. Second Line of Defense Program, Secondary Screening Operations Field Data Collection--Summary. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1079562.

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