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Journal articles on the topic 'Digital data collection'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

Ingram, Kelly, Ferenc Bunta, and David Ingram. "Digital Data Collection and Analysis." Language, Speech, and Hearing Services in Schools 35, no. 2 (April 2004): 112–21. http://dx.doi.org/10.1044/0161-1461(2004/013).

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Technology for digital speech recording and speech analysis is now readily available for all clinicians who use a computer. This article discusses some advantages of moving from analog to digital recordings and outlines basic recording procedures. The purpose of this article is to familiarize speech-language pathologists with computerized audio files and the benefits of working with those sound files as opposed to using analog recordings. This article addresses transcription issues and offers practical examples of various functions, such as playback, editing sound files, using waveform displays, and extracting utterances. An appendix is provided that describes step-by-step how digital recording can be done. It also provides some editing examples and a list of useful computer programs for audio editing and speech analyses. In addition, this article includes suggestions for clinical uses in both the assessment and the treatment of various speech and language disorders.
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Reed, Denné, W. Andrew Barr, Shannon P. Mcpherron, René Bobe, Denis Geraads, Jonathan G. Wynn, and Zeresenay Alemseged. "Digital data collection in paleoanthropology." Evolutionary Anthropology: Issues, News, and Reviews 24, no. 6 (November 2015): 238–49. http://dx.doi.org/10.1002/evan.21466.

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3

Muse, Evan D., and Eric J. Topol. "Digital orthodoxy of human data collection." Lancet 394, no. 10198 (August 2019): 556. http://dx.doi.org/10.1016/s0140-6736(19)31727-1.

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4

Matturi, Kai. "Using Digital Data Gathering to improve data collection." Development in Practice 26, no. 1 (December 15, 2015): 52–63. http://dx.doi.org/10.1080/09614524.2016.1117578.

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5

Khyzhniak, I. A. "MEASUREMENT DATA COLLECTION DEVICE FOR DIGITAL LABORATORY." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences, no. 6 (2021): 280–84. http://dx.doi.org/10.32838/2663-5941/2021.6/45.

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6

Grubbs, W. Tandy. "The JCE Data-Driven Exercises Digital Collection." Journal of Chemical Education 86, no. 6 (June 2009): 763. http://dx.doi.org/10.1021/ed086p763.

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7

Inman-Narahari, Faith, Christian Giardina, Rebecca Ostertag, Susan Cordell, and Lawren Sack. "Digital data collection in forest dynamics plots." Methods in Ecology and Evolution 1, no. 3 (May 24, 2010): 274–79. http://dx.doi.org/10.1111/j.2041-210x.2010.00034.x.

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8

Beebe, Caroline. "Standard Descriptive Vocabulary and Archaeology Digital Data Collection." Advances in Archaeological Practice 5, no. 3 (July 19, 2017): 250–64. http://dx.doi.org/10.1017/aap.2017.15.

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ABSTRACTArchaeology has embraced the shift to digital technology for collecting, analyzing, and sharing data. Digital repositories are now recognized as essential for data stewardship and are setting standards for data deposition. These new technologies and systems support the scientific need for reproducible results through intra-cultural as well as cross-cultural hypothesis testing. Methods of digital data collection in the field, however, are often site specific, restricted by the limited availability of digital technologies, or not well suited for creating systems that support the requirements of the new digital information paradigm. As a small science project, the Chau Hiix Project in Belize will provide examples of the pitfalls in and insights about shifting to digital technology to make its primary data shareable and reusable. These experiences suggest the need for an international collaborative agenda that develops digital data description standards based on controlled vocabulary, facet analysis, and crosswalks implemented at the analog point of collection.
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Oostra, B. Baljet, R. J. "Digital data and the 19th century teratology collection." Journal of Audiovisual Media in Medicine 22, no. 4 (January 1999): 186–94. http://dx.doi.org/10.1080/014051199101972.

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Li, Hongtao, Jianfeng Ma, and Shuai Fu. "An anonymous data collection framework for digital community." Wuhan University Journal of Natural Sciences 18, no. 5 (October 2013): 385–92. http://dx.doi.org/10.1007/s11859-013-0946-4.

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Petrosyan, Artur, Hayk Azizbekyan, Boris Gasparyan, Roberto Dan, Arsen Bobokhyan, and Mariam Amiryan. "Foregrounding Daily Data Collection on Archaeological Fieldwork." Advances in Archaeological Practice 9, no. 4 (November 2021): 402–14. http://dx.doi.org/10.1017/aap.2021.30.

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OverviewDaily data collection during archaeological fieldwork forms the basis for later interpretation and analysis. Across the world, we observe a wide variety of digital data collection methods and tools employed during fieldwork. Here, we detail the daily practices at four recent survey and excavation projects in the South Caucasian country of Armenia. As archaeology continues to become ever more digital, it is useful to consider these day-to-day recording processes at a typical field project. We provide details on both the types of data collected and the ways they are collected so as to foreground these topics. Finally, we reflect on how our work is currently impacted by digital changes and how it may continue to change in the future.
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Lo Turco, M., M. Calvano, and E. C. Giovannini. "DATA MODELING FOR MUSEUM COLLECTIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (January 31, 2019): 433–40. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-433-2019.

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<p><strong>Abstract.</strong> The relationship between cultural heritage, digital technologies and visual models involves an increasingly wide area of research, oriented towards the renewal of archives and museums for the preservation and promotion of culture. Recent research activities are the result of the progressive strengthening of digital technologies and the needs of a new generation of “digital” users, which requires museums to update their means of communication using Semantic Web languages and technologies shaped by a social conceptualization of a graph-based representation of information.</p><p>The growth of several digitized heritage collections increases the necessity of proper methodologies to develop a structured system able to access to these collections and the large amount of data, metadata and paradata related to the digitized objects in a structured and organized way, defining a set of collection information models (CIM), that considers not only the digitizing process but also the data collection process, layered by an Upper Ontology level structure, based on CIDOC-CRM.</p>
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Wahdah, Siti. "Perpustakaan Digital, Koleksi Digital dan Undang-Undang Hak Cipta." Pustaka Karya : Jurnal Ilmiah Ilmu Perpustakaan dan Informasi 8, no. 2 (September 30, 2020): 26. http://dx.doi.org/10.18592/pk.v8i2.5132.

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Preliminary. Librarians as digital library managers need to pay attention to issues related to digital collections, including legal and regulatory issues related to intellectual property rights or copyrights related to taking and making digital collections and plagiarism.Method. This research is a qualitative type with a descriptive approach. The data was obtained using a literature study technique by searching the latest journal articles and books.Data analysis. By using four stages, namely data collection, data reduction, data presentation and the last step is drawing conclusions and verification.Results and Discussion. In connection with the copyright, in accordance with the provisions of the library legislation, in carrying out the task of digitizing the collection, there will be no problem and conflict with the legal provisions of copyright as long as the purpose is only for educational and research purposes, and not for commercial purposes.Conclusion. Libraries as information processing institutions can make institutional regulations to address copyright issues related to legal issues such as regulations: Deposit Trade-Secrecy, Copy Left, Doktrin Fair Use.
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Zadereyko, Оlexander, Olena Trofymenko, Yuliia Prokop, Nataliia Loginova, Anastasiia Dyka, and Serhii Kukharenko. "Research of potential data leaks in information and communication systems." Radioelectronic and Computer Systems, no. 4 (November 29, 2022): 64–84. http://dx.doi.org/10.32620/reks.2022.4.05.

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This article discusses the problem of ensuring the protection of user data in information systems. It is shown that classic information systems are represented by stationary and mobile communication devices focused on data exchange with digital space. The fundamental principles of user data exchange in the digital space are considered. It has been established that leading technology IT corporations collect data from user communication devices. It is shown that the organization of data collection is carried out by redirecting the DNS traffic of the communication device to the DNS servers of IT corporations, followed by its encryption using the DoH protocol. This makes it impossible for authorized services and departments of national states to control the users’ DNS traffic and ensures the monopoly position of IT corporations in the global digital market for collecting and analyzing user data. It is shown that the collection of user data is carried out with the aim of further monetization and influencing decisions made by users. DNS traffic of devices for communication with the digital space of the Internet is fixed. An audit of the recorded DNS traffic was performed, and as a result, specialized Internet resources were identified to be responsible for collecting and processing user data. It has been proved that the identified specialized Internet resources belong to IT corporations. Methods of identification of communication devices in digital space were considered. It is shown that the identification of communication devices is based on the collection of a unique set of data from each communication device. Based on each unique data set, a digital fingerprint of the communication device is formed, which is used for its further identification in the digital space. These approaches allow organizing protection against user data collection in information systems. Software and hardware implementations for protection against data collection from communication devices are proposed. It has been experimentally established that the combined use of the proposed software and hardware models provides the most effective protection against data collection from communication devices and does not affect the functionality of information systems.
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Nadzar Samsudin, Iskandar, Muh. Quraisy Mathar, Noerjihad Saleh, and Andi Ibrahim. "LIBRARIANS' ROLE IN PROCESSING DIGITAL COLLECTIONS FOR THE BENEFIT OF LIBRARY AND ARCHIVES IN SOUTH SULAWESI PROVINCE." Jurnal Diskursus Islam 10, no. 1 (May 12, 2022): 28–33. http://dx.doi.org/10.24252/jdi.v10i1.28098.

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The goal of this study was to ascertain the librarian's role in processing digital collections and to ascertain the procedure by which digital collections were processed. The author employed descriptive research with management and pedagogical perspective in this study. Then, primary and secondary data were used in this study. Interviews and documentation served as guidance for the research instrument. Data collection techniques included observing, interviewing, and documenting. Then there were procedures for data analysis such as data reduction, data display, and conclusion drafting. The study's findings indicated that librarians played an important role in processing digital collections at the Library and Archives Service of South Sulawesi Province, including participation in librarian training activities, digital collection processing activities, and digital collection promotion activities. The Library and Archives Service of South Sulawesi Province were in the process of processing digital materials, specifically scanning, editing, and publishing. The processing of digital collections could be adapted to technological advancements to make them more effective and efficient.
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16

Yudachev, S. S., P. A. Monakhov, and N. A. Gordienko. "Industry 4.0 Digital Technologies for data collection and control." Glavnyj mekhanik (Chief Mechanic), no. 6 (May 25, 2021): 43–58. http://dx.doi.org/10.33920/pro-2-2106-04.

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This article describes an attempt to create open source LabVIEW software, equivalent to data collection and control software. The proposed solution uses GNU Radio, OpenCV, Scilab, Xcos, and Comedi in Linux. GNU Radio provides a user-friendly graphical interface. Also, GNU Radio is a software-defined radio that conducts experiments in practice using software rather than the usual hardware implementation. Blocks for data propagation, code deletion with and without code tracking are created using the zero correlation zone code (ZCZ, a combination of ternary codes equal to 1, 0, and –1, which is specified in the program). Unlike MATLAB Simulink, GNU Radio is open source, i. e. free, and the concepts can be easily accessed by ordinary people without much programming experience using pre-written blocks. Calculations can be performed using OpenCV or Scilab and Xcos. Xcos is an application that is part of the Scilab mathematical modeling system, and it provides developers with the ability to design systems in the field of mechanics, hydraulics and electronics, as well as queuing systems. Xcos is a graphical interactive environment based on block modeling. The application is designed to solve problems of dynamic and situational modeling of systems, processes, devices, as well as testing and analyzing these systems. In this case, the modeled object (a system, device or process) is represented graphically by its functional parametric block diagram, which includes blocks of system elements and connections between them. The device drivers listed in Comedi are used for real-time data access. We also present an improved PyGTK-based graphical user interface for GNU Radio. English version of the article is available at URL: https://panor.ru/articles/industry-40-digital-technology-for-data-collection-and-management/65216.html
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17

Grubbs, W. Tandy. "Data-Driven Exercises for Chemistry: A New Digital Collection." Journal of Chemical Education 84, no. 8 (August 2007): 1391. http://dx.doi.org/10.1021/ed084p1391.

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18

Li, HongTao, JianFeng Ma, and Shuai Fu. "A privacy-preserving data collection model for digital community." Science China Information Sciences 58, no. 3 (November 29, 2014): 1–16. http://dx.doi.org/10.1007/s11432-014-5197-2.

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19

Brewer, Peter W., and Christopher H. Guiterman. "A new digital field data collection system for dendrochronology." Dendrochronologia 38 (June 2016): 131–35. http://dx.doi.org/10.1016/j.dendro.2016.04.005.

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20

Bunakov, Vasily, Catherine Jones, Brian Matthews, and Michael Wilson. "Data authenticity and data value in policy-driven digital collections." OCLC Systems & Services: International digital library perspectives 30, no. 4 (November 10, 2014): 212–31. http://dx.doi.org/10.1108/oclc-07-2013-0025.

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Purpose – The purpose of this paper is to suggest an approach to data value considerations that is related to the generalized notion of authenticity and can be applied to the design of preservation policies. There has been considerable progress in the scalable architectures for policy-driven digital collection preservation as well as in modeling preservation costs. However, modeling the value of both digital artifacts and collections seems a more elusive topic that has yet to find a proper methodology and means of expression. Design/methodology/approach – A top-down conceptual analysis was developed and the principles of information technology service management and quality management were applied to the domain of digital preservation. Then, in a bottom-up analysis, the various notions of authenticity in digital preservation projects, reference models and conceptual papers were reviewed. Findings – The top-down and bottom-up analyses have a meeting point, establishing a close relation between the concepts of data authenticity and data value. Originality/value – The generalized understanding of authenticity can support the design of sensible preservation policies and their application to the formation and long-term maintenance of digital collections.
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21

Hoogendoorn, S. P., H. J. Van Zuylen, M. Schreuder, B. Gorte, and G. Vosselman. "Microscopic Traffic Data Collection by Remote Sensing." Transportation Research Record: Journal of the Transportation Research Board 1855, no. 1 (January 2003): 121–28. http://dx.doi.org/10.3141/1855-15.

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To gain insight into the behavior of drivers during congestion, and to develop and test theories and models that describe congested driving behavior, very detailed data are needed. A new data-collection system prototype is described for determining individual vehicle trajectories from sequences of digital aerial images. Software was developed to detect and track vehicles from image sequences. In addition to longitudinal and lateral position as a function of time, the system can determine vehicle length and width. Before vehicle detection and tracking can be achieved, the software handles correction for lens distortion, radiometric correction, and orthorectification of the image. The software was tested on data collected from a helicopter by a digital camera that gathered high-resolution monochrome images, covering 280 m of a Dutch motorway. From the test, it was concluded that the techniques for analyzing the digital images can be applied automatically without much problem. However, given the limited stability of the helicopter, only 210 m of the motorway could be used for vehicle detection and tracking. The resolution of the data collection was 22 cm. Weather conditions appear to have a significant influence on the reliability of the data: 98% of the vehicles could be detected and tracked automatically when conditions were good; this number dropped to 90% when the weather conditions worsened. Equipment for stabilizing the camera—gyroscopic mounting—and the use of color images can be applied to further improve the system.
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Affonso, Elaine Parra, and Ricardo César Gonçalves Sant’Ana. "Privacy awareness issues in user data collection by digital libraries." IFLA Journal 44, no. 3 (August 21, 2018): 170–82. http://dx.doi.org/10.1177/0340035218777275.

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This work has the objective of investigating privacy aspects in the collection of data by the National Digital Libraries of South America. Country-specific digital libraries were examined using an exploratory research method to identify data these libraries collected both with the user’s awareness and in the explicit presence of privacy policies within their environments. Brazil’s National Digital Library environment was also examined by using the Wireshark tool to identify possible data collected implicitly during user interaction. We identified that only two of the examined digital libraries provide privacy guidance, and in relation to the collection process, the data that are collected without the knowledge of the user stand out more than the data that the user makes available consciously. It is concluded that privacy issues can be influenced by low user awareness of when, how and where data collection takes place, and the availability of privacy policies becomes essential in digital libraries to raise awareness about this process.
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Boeschoten, Laura, Jef Ausloos, Judith E. Möller, Theo Araujo, and Daniel L. Oberski. "A framework for privacy preserving digital trace data collection through data donation." Computational Communication Research 4, no. 2 (October 1, 2022): 388–423. http://dx.doi.org/10.5117/ccr2022.2.002.boes.

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Park, Juhee. "An Actor-Network Perspective on Collections Documentation and Data Practices at Museums." Museum and Society 19, no. 2 (July 30, 2021): 237–51. http://dx.doi.org/10.29311/mas.v19i2.3455.

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The improvement of digital technology over recent decades has advanced the ability of museums to manage records of their collections and share them online. However, despite the rise of research in the area of digital heritage, less attention has been given to a sociotechnical perspective on such technology. Drawing upon concepts from Actor-Network Theory, this paper presents actors associated with the V&A’s collections management system and its online catalogue. Digital design objects, the museum’s new type of collection, are seen as a driving force for change in collections documentation practices. This paper argues for models of documentation to change from closed to open and participatory in order to (re)present such objects’ materiality in collection records through the voices of multiple actors. This paper, highlighting the agency of data and technology, increases our awareness of the potential consequences of museums’ data practices where the integration of advanced technology (e.g., AI) will be implemented in the future.
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De Apro, Sona. "The Features of Legal Regulation of Big Data in the Context of the Development of the Digital Earth." Geocontext 8, no. 1 (December 31, 2020): 22–26. http://dx.doi.org/10.30987/2686-8326-2020-22-26.

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When creating a Digital Earth, huge amounts of data are generated through remote sensing and various sensors to observe our planet. Big Data has become of particular value in the context of the development of the Digital Earth. At the same time, every day there is more and more information, which creates serious problems for their collection, storage, processing, ensuring their security and legal regulation. The advent of cloud technologies has made it possible to provide computing support for collecting, storing and processing Big Data, while the heterogeneity of the amount of data collected is growing and it becomes difficult to determine their legal regime, jurisdiction and protection in general. The report analyzes the sources of Big Data used for the development of the Digital Earth, the peculiarities of their collection, storage and processing through cloud technologies, analyzes the prospects and risks of the development of the digital Earth in terms of the security of Big Data and their legal regulation.
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Schermer, Maarten, and Daphne Duin. "Leveraging the Benefits of Open Data Services for Natural History Collection Management." Biodiversity Information Science and Standards 2 (June 13, 2018): e25882. http://dx.doi.org/10.3897/biss.2.25882.

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The value of data present in natural history collections for research and collection management cannot be overstated. Naturalis Biodiversity Center, home to one of the largest natural history collections in the world, completed a large-scale digitisation project resulting in the registration of more than 38 million objects, many of them annotated with descriptive metadata, such as geographic coordinates and multimedia content. While digitisation is ongoing, we are now also looking for ways to leverage our digital collection, both for the benefit of collection management and that of networking with other natural history collections. To this end, we developed the Netherlands Biodiversity Data Services, providing centralized access to our collection data via state of the art, open access interfaces. Full, centralized access to the digital collection allows us to combine the data with other sources, such as collection scans focusing on the physical condition and accessibility of the collection. But also with data from external sources, such as the collection information of sister institutions, allowing for combining and comparing data, and exploring areas where collections can reinforce each other. Focusing on availability and accessibility, the services were deliberately designed as a versatile, low-level API to allow the use of our data with a broad variety of applications and services. These applications range from scientific research and remote mobile access to collection information, to “mash ups” with other data sources, apps and application in our own museum. We will demonstrate this range of applications through several examples, including the embedding of data in websites (example, Dutch Caribbean Species Register: http://www.dutchcaribbeanspecies.org/linnaeus_ng/app/views/species/nsr_taxon.php?id=177968&amp;cat=165), use in the development of deep learning models, thematic portals (example, Naturalis meteorite collection: http://bioportal.naturalis.nl/result?theme=meteorites&amp;language=en) and the development of Java- and R-clients. This presentation ties in with Max Caspers' presentation “Advancing collections management with the Netherlands Biodiversity Data Services“, in which he will demonstratie the potential of the services described in this presentation for the area of collections management, specifically.
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Nikolova, Evgeniya, Mariya Monova-Zheleva, and Yanislav Zhelev. "Personal Data Processing in a Digital Educational Environment." Mathematics and Informatics LXV, no. 4 (August 30, 2022): 365–78. http://dx.doi.org/10.53656/math2022-4-4-per.

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New technologies provide innovative spaces for cooperation and communication between employers and employees, citizens and structures, educators, and learners. Data protection issues have always been key to education providers, but the proliferation of online learning forms and formats poses new and unique challenges in this regard. When introducing a new technology that involves the collection of sensitive data, the General Data Protection Regulation (GDPR) of the European Parliament and the Council of the European Union requires the identification and mitigation of all risks that could lead to the misuse of personal data. The article discusses some critical points regarding the application of GDPR in online learning. The goal of this article is to investigate the vulnerabilities to personal data security during online learning and to identify methods that schools and universities may apply to ensure that personal data are kept private while students utilize online platforms to learn. For the purposes of the research, the published privacy, and data protection policies of all Bulgarian universities as well as papers on how universities could adapt to the new EU General Data Protection Regulation were revised and analysed. Best practices of some foreign universities in this regard were studied as well.
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Salemink, Irene, Stéphane Dufour, and Marcel van der Steen. "A vision on future advanced data collection." Statistical Journal of the IAOS 36, no. 3 (August 26, 2020): 685–99. http://dx.doi.org/10.3233/sji-200658.

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Society’s demand for data-driven, fact-based information continues to increase. National statistical offices play a critical role in providing this demand-driven information to support evidence-based policy making. Thereby transforming from suppliers of official statistics to providers of trusted smart statistics. The digital transformation, data revolution and emergence of “big data” all influence the way NSOs collect data. Data are everywhere, generated by everything and everyone being stored in numerous locations and devices. The nature of data collection is bound to change. Using solely primary data collection would be too time-consuming, costly and burdensome to satisfy the increasing demand. NSOs should aim to use the vast amounts of data available in our digital society to be used as inputs for new statistical products, to supplement existing data acquisition or as replacements for existing survey inputs. Many areas must be taken into account including new data sources, collection methods and collection process redesigns. This comes with consequences with respect to methodology, technology, quality, metadata and standards, confidentiality, privacy etc. Knowledge development requires collaboration between NSOs, governments, end users, academic institutions, research organizations and private sector companies. Social acceptability needs to increase to maximize the benefit of these data sources to produce smart statistics.
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Onnela, Jukka-Pekka, Caleb Dixon, Keary Griffin, Tucker Jaenicke, Leila Minowada, Sean Esterkin, Alvin Siu, Josh Zagorsky, and Eli Jones. "Beiwe: A data collection platform for high-throughput digital phenotyping." Journal of Open Source Software 6, no. 68 (December 15, 2021): 3417. http://dx.doi.org/10.21105/joss.03417.

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Li, Feifei, Hongling Wang, Lu Sun, Zilin Wang, Yuting Ran, and Yingjun Xia. "Data Collection of Digital Monitoring System for Agricultural Facilities Environment." Journal of Physics: Conference Series 1952, no. 4 (June 1, 2021): 042138. http://dx.doi.org/10.1088/1742-6596/1952/4/042138.

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Meera, B. M., M. Manjunath, and Manjunath Kaddipujar. "Facets of digital data dissemination: value addition through “imprints collection”." Library Hi Tech 31, no. 2 (June 7, 2013): 308–22. http://dx.doi.org/10.1108/07378831311329077.

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Wang, Mao-Jiun J., Wen-Yen Wu, Kuo-Chao Lin, Shi-Nine Yang, and Jun-Ming Lu. "Automated anthropometric data collection from three-dimensional digital human models." International Journal of Advanced Manufacturing Technology 32, no. 1-2 (February 25, 2006): 109–15. http://dx.doi.org/10.1007/s00170-005-0307-3.

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33

Bellamy, Derrick, Vanessa Bateman, Eric C. Drumm, William M. Dunne, Christopher Vandewater, Matthew Mauldon, and Brett Rose. "Electronic Data Collection for Rockfall Analysis." Transportation Research Record: Journal of the Transportation Research Board 1821, no. 1 (January 2003): 97–103. http://dx.doi.org/10.3141/1821-12.

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Rockfall analysis traditionally has used conventional stationery tools, that is, pencil and paper, for data collection. Traditional methodologies are being revisited with the advent of personal digital assistants (PDAs) or pen-based computers that enable field data to be collected electronically. The advantages over data collection with pencil and paper include automatic error and data integrity checks during data input and the elimination of manual data entry. PDAs also allow automatic branching to solicit data input on the basis of previous data entered and support for code or scripting, which can be used to create unique files names from the data entered. These advantages are illustrated in an electronic data collection methodology as implemented within a rockfall hazard rating system for the Tennessee Department of Transportation.
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Sam, Gilbert. "Collecting Digital Data with the Assurance of Integrity." Advances in Multidisciplinary and scientific Research Journal Publication 1, no. 1 (July 24, 2022): 139–46. http://dx.doi.org/10.22624/aims/crp-bk3-p23.

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It is very common today that systems collect and store sensitive information. The database administrators of these types of systems have access to this sensitive information and can manipulate it. Therefore, data integrity is of core importance in these systems, and methods to detect fraudulent behavior need to be implemented. The objective of this article is to evaluate the features and performance impact of different methods for achieving and implementing data integrity in a database during data collection to improve assurance. Five methods for achieving data integrity were tested. The methods were tested in a controlled environment. This paper evaluates traditional Digital signature, Linked timestamping applied to a Merkle hash tree, and Auditing performance impact and feature impact wise. Two more methods were implemented and tested in a controlled environment, Merkle hash tree and Digital watermarking. In the evaluation, the researcher proved that traditional Digital signature is faster than Linked timestamping. In this study, it was concluded that when choosing a data integrity method to implement, it is of great importance to know which type of operation is more frequently used. The experiments show that the Digital signature method performed better than Linked timestamping and Auditing. Keyword: Data Collection, Integrity, Assurance, Security, Cyber space, cybercrimes,
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Supriyanto, Supriyanto, and Jefree Fahana. "Gift-exchange Game Theory for Gamification on Digital Data Collection Systems." Lontar Komputer : Jurnal Ilmiah Teknologi Informasi 11, no. 1 (April 30, 2020): 57. http://dx.doi.org/10.24843/lkjiti.2020.v11.i01.p06.

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Gamification is widely used to increase user motivation by applying game elements to things that are not game-based. For example, in a data collection system. Gamification is used to increase the motivation of users to want to get involved. The elements of the game that are often used are rewards, badges, and leaderboards. But some implementations have not been able to ensure increased user motivation. Gamification applied needs to consider the use of game theory. Game theory is used to determine the right gamification model for digital data collection. This paper discusses the application of gift-exchange-games (GEG) in the gamification of digital data collection systems. GEG is used to model player interactions in the gamification system. GEG implementation of Gamification can improve user involvement in the system. This theoretical model can later be used for a more efficient data collection system development platform. Keywords: gamification, game theory, data collection, gift-exchange-game, geg
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Edronova, V. N. "International digital development indexes: A methodology for data collection, systematization and processing." Regional Economics: Theory and Practice 18, no. 7 (July 16, 2020): 1374–96. http://dx.doi.org/10.24891/re.18.7.1374.

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Subject. This article provides a comprehensive comparative review of the present-day used International Digital Development Indexes of countries and regions. Objectives. The article aims to review and compare the characteristics and methodologies of digitalization indexes developed by international institutions. Methods. For the study, I used a comparative analysis. Results. The article presents an overview of the methods of calculating the largest international indexes and compiling ratings of digital development of countries. It defines the content of the indexes, and describes the characteristics of the digital development of Russia on the basis of major international indexes. Conclusions. The methodology for calculating all international digital development indexes is identical in terms of objectives, methods of forming a primary base, data systematization, and calculation of composite indexes and sub-indexes. An objective assessment of the level and trends of digital development requires a comprehensive analysis of the totality of ratings and an understanding of the methodology for calculating indexes on the basis of which ratings are defined.
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Fling, Scott, Kelly Binkley, and David Wrenne. "F-16/BRU-55 Flight Vibration Data Collection Using Digital Recorders." Journal of the IEST 42, no. 1 (January 14, 1999): 41–45. http://dx.doi.org/10.17764/jiet.42.1.37j473h1g77q0451.

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Recently a series of flight tests were conducted at Eglin AFB. Florida, using onboard, state-of-the-art digital data recorders to measure flight vibration data on the BRU-55 bomb rack. The instrumented bomb rack was flown on an F-16 aircraft under worst-case operational mission conditions. Tri-axial vibration data were recorded continuously during the flights. The raw data were then post-processed to generate power spectral density profiles for various flight maneuvers. These data were used to develop qualification test specification levels to replace the existing MIL-SID levels. This paper describes the use of the digital data recorders in collecting flight vibration data. Advantages and disadvantages of the digital recorders are discussed as compared to telemetry and tape recorders.
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Xu, Weijia, Maria Esteva, Suyog D. Jain, and Varun Jain. "Interactive visualization for curatorial analysis of large digital collection." Information Visualization 13, no. 2 (January 21, 2013): 159–83. http://dx.doi.org/10.1177/1473871612473590.

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To make decisions about the long-term preservation of and access to large digital collections, digital curators use information such as the collections’ digital object types, their contents and preservation risks, and how they are organized. To date, the process of analyzing a collection—from data gathering to exploratory analysis and final conclusions—has largely been conducted using linear review and pen and paper methods. To help curators analyze large-scale digital collections, we developed an interactive visual analytics application. We have put methods in place to summarize large and diverse information about the collection and to present it as integrated views. Multiple views can be linked or unlinked on demand to enable curators to identify trends and particularities at different levels of detail and to compare and contrast views. We describe two analysis workflows to illustrate how the application can be used to triage digital collections and facilitate collection management decision making and to provide access. After conducting a focus group study with domain specialists, we introduced features to address their concerns and needs.
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Lannom, Larry, Dimitris Koureas, and Alex R. Hardisty. "FAIR Data and Services in Biodiversity Science and Geoscience." Data Intelligence 2, no. 1-2 (January 2020): 122–30. http://dx.doi.org/10.1162/dint_a_00034.

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We examine the intersection of the FAIR principles (Findable, Accessible, Interoperable and Reusable), the challenges and opportunities presented by the aggregation of widely distributed and heterogeneous data about biological and geological specimens, and the use of the Digital Object Architecture (DOA) data model and components as an approach to solving those challenges that offers adherence to the FAIR principles as an integral characteristic. This approach will be prototyped in the Distributed System of Scientific Collections (DiSSCo) project, the pan-European Research Infrastructure which aims to unify over 110 natural science collections across 21 countries. We take each of the FAIR principles, discuss them as requirements in the creation of a seamless virtual collection of bio/geo specimen data, and map those requirements to Digital Object components and facilities such as persistent identification, extended data typing, and the use of an additional level of abstraction to normalize existing heterogeneous data structures. The FAIR principles inform and motivate the work and the DO Architecture provides the technical vision to create the seamless virtual collection vitally needed to address scientific questions of societal importance.
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Teucher, Mike, Detlef Thürkow, Philipp Alb, and Christopher Conrad. "Digital In Situ Data Collection in Earth Observation, Monitoring and Agriculture—Progress towards Digital Agriculture." Remote Sensing 14, no. 2 (January 15, 2022): 393. http://dx.doi.org/10.3390/rs14020393.

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Digital solutions in agricultural management promote food security and support the sustainable use of resources. As a result, remote sensing (RS) can be seen as an innovation for the fast generation of reliable information for agricultural management. Near real-time processed RS data can be used as a tool for decision making on multiple scales, from subplot to the global level. This high potential is not yet fully applied, due to often limited access to ground truth information, which is crucial for the development of transferable applications and acceptance. In this study we present a digital workflow for the acquisition, processing and dissemination of agroecological information based on proprietary and open-source software tools with state-of-the-art web-mapping technologies. Data is processed in near real-time and thus can be used as ground truth information to enhance quality and performance of RS-based products. Data is disseminated by easy-to-understand visualizations and download functionalities for specific application levels to serve specific user needs. It thus can increase expert knowledge and can be used for decision support at the same time. The fully digital workflow underpins the great potential to facilitate quality enhancement of future RS products in the context of precision agriculture by safeguarding data quality. The generated FAIR (findable, accessible, interoperable, reusable) datasets can be used to strengthen the relationship between scientists, initiatives and stakeholders.
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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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Pandey, Anuj, Surachna ., and Sidharth Sekhar Mishra. "Applications for data collection: AppDatCol." International Journal Of Community Medicine And Public Health 8, no. 11 (October 27, 2021): 5551. http://dx.doi.org/10.18203/2394-6040.ijcmph20214296.

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Health surveillance or routine health surveys are the main sources of health-related information in developing countries. The need to support the paper process and the recent advanced popularity of mobile devices fortified the development and use of electronic data collection methods in community health and clinical research works. Data collection apps are mobile applications that make it possible to collect data from a smartphone, tablet, or iPad. The main objective of this article is to explore different type of applications easily available for using as a tool for data collection purpose. This article will brief about software’s that are easily available to be customized and can be used for data collection. Mobile data collection apps are becoming integral to secure, reliable, and scalable research. The efficiency and dependability of these mobile survey apps, even in offline settings, open doors to new research possibilities. It begins with the freedom and adaptability of designing research-specific forms that work even in the most challenging environments. Sharing experiences of the barriers and distinct benefits of this technology will help future users to be better informed and allow for the swifter adoption of these and similar technologies. Although any digital form may suffice for the purpose of data gathering, not every data collection system may be used for sensitive, clinical or research data. We believe that Teamscope and CSPro stands out in the mobile data collection landscape and is the best choice for research purposes. No other application combines data encryption, passcode lock, cross-device compatibility with iOS and android, support for both cross sectional and longitudinal studies, like these applications does.
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Connolly, Aidan. "15 Precision Pig Nutrition: Unlocking the Potential Through Digital Data Collection." Journal of Animal Science 99, Supplement_1 (May 1, 2021): 141. http://dx.doi.org/10.1093/jas/skab054.239.

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44

Steelman, Zachary R., Bryan I. Hammer, and Moez Limayem. "Data Collection in the Digital Age: Innovative Alternatives to Student Samples." MIS Quarterly 38, no. 2 (February 2, 2014): 355–78. http://dx.doi.org/10.25300/misq/2014/38.2.02.

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Park, Junseok, Seongkuk Park, Gwangmin Kim, Kwangmin Kim, Jaegyun Jung, Sunyong Yoo, Gwan-Su Yi, and Doheon Lee. "Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications." IEEE Access 8 (2020): 79472–90. http://dx.doi.org/10.1109/access.2020.2985122.

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46

Agard, D. A., A. J. Koster, M. B. Braunfeld, and J. W. Sedat. "Automated data collection for electron tomography." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (August 1992): 1044–45. http://dx.doi.org/10.1017/s0424820100129851.

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Three-dimensional imaging has become an important addition to the variety of methods available for research on biological structures. Non-crystalline samples can be examined by high resolution electron tomography which requires that projection data be collected over a large range of specimen tilts. Practical limitations of tomography are set by the large number of micrographs to be processed, and by the required (and tedious) recentering and refocusing of the object during data collection; especially for dose sensitive specimens. With automated electron tomography a number of these problems can be overcome. First, the images are recorded directly in digital format, using a cooled slow scan CCD camera, and, with automatic tracking and correction for image shift and focus variation, a pre-aligned dataset is obtained, with every image recorded under well defined imaging conditions.At UCSF, we use intermediate voltage electron tomography to study higher-order chromatin structure. Of central interest is elucidating the higher-order arrangement of the 30nm chromatin fiber within condensed chromosomes through several phases of the cell cycle and, in collaboration with Chris Woodcock, the structure of the 30 nm fiber.
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Babinski, Sarah, Jeremiah Jewell, Kassandra Haakman, Juhyae Kim, Amelia Lake, Irene Yi, and Claire Bowern. "How usable are digital collections for endangered languages? A review." Proceedings of the Linguistic Society of America 7, no. 1 (May 5, 2022): 5219. http://dx.doi.org/10.3765/plsa.v7i1.5219.

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Here, we report on pilot research on the extent to which language collections in digital linguistic archives are discoverable, accessible, and usable for linguistic research. Using a test case of common tasks in phonetic and phonological documentation, we evaluate a small random sample of collections and find substantial, striking problems in all domains. Of the original 20 collections, only six had digitized audio files with associated transcripts (preferably phrase-aligned). That is, only 30% of the collections in our sample were even potentially suitable for any type of phonetic work (regardless of quality of recording). Information about the contents of the collection was usually discoverable, though there was variation in the types of information that could be easily searched for in the collection. Though eventually three collections were aligned, only one collection was successfully force-aligned from the archival materials without substantial intervention. We close with recommendations for archive depositors to facilitate discoverability, accessibility, and functionality of language collections. Consistency and accuracy in file naming practices, data descriptions, and transcription practices is imperative. Providing a collection guide also helps. Including useful search terms about collection contents makes the materials more findable. Researchers need to be aware of the changes to collection structure that may result from archival uploads. Depositors need to consider how their metadata is included in collections and how items in the collection may be matched to each other and to metadata categories. Finally, if our random sample is indicative, linguistic documentation practices for future phonetic work need to change rapidly, if such work from archival collections is to be done in future.
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Rapalai, Boikhutso Lerato. "Storing, Maintaining and Mobilizing Botswana National Museum’s Entomology Digital Collections: The GBIF/BID Approach." Biodiversity Information Science and Standards 2 (June 15, 2018): e26328. http://dx.doi.org/10.3897/biss.2.26328.

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The Botswana National Museum is mandated to protect, preserve and promote Botswana’s cultural and natural heritage for sustainable utilization thereof by collecting, researching, conserving and exhibiting for public education and appreciation. The Entomology Section of the museum is aiming towards becoming the national center for entomology collections as well as contributing to the monitoring and enhancement of natural heritage sites in Botswana. The Botswana National Museum entomology collection was assembled over more than three decades by a succession of collectors, curators and technical officers. Specimens are carefully prepared and preserved, labelled with field data, sorted and safely stored. The collection is preserved as wet (ethanol preserved) or as dry pinned specimens in drawers. This collection is invaluable for reference, research, baseline data and educational purposes. As a way of mobilizing insect biodiversity data and making it available online for conservation efforts and decision making processes, in 2016 the Botswana National Museum collaborated with five other African states to implement the Biodiversity Information for Development (BID) and Global Biodiversity Information Facility (GBIF) funded African Insect Atlas’ Project (https://www.gbif.org/project/82632/african-insect-atlas). This collaborative project was initiated to move biodiversity knowledge out of select insect collections into the hands of a new generation of global biodiversity researchers interested in direct outcomes. To date, the Botswana National Museum has been instrumental through the efforts of this project in storing, maintaining and mobilizing insect digital collections and making the data available online through the GBIF Platform.
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Ma, Rongqian, and Fanghui Xiao. "Data Practices in Digital History." International Journal of Digital Curation 15, no. 1 (July 22, 2020): 21. http://dx.doi.org/10.2218/ijdc.v15i1.597.

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This paper presents an exploratory research project that investigates data practices in digital history research. Emerging from the 1950s and ‘60s in the United States, digital history remains a charged topic among historians, requiring a new research paradigm that includes new concepts and methodologies, an intensive degree of interdisciplinary, inter-institutional, and international collaboration, and experimental forms of research sharing, publishing, and evaluation. Using mixed methods of interviews and questionnaire, we identified data challenges in digital history research practices from three perspectives: ontology (e.g., the notion of data in historical research); workflow (e.g., data collection, processing, preservation, presentation and sharing); and challenges. Extending from the results, we also provide a critical discussion of the state-of-art in digital history research, particularly in respect of metadata, data sharing, digital history training, collaboration, as well as the transformation of librarians’ roles in digital history projects. We conclude with provisional recommendations of better data practices for participants in digital history, from the perspective of library and information science.
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Rahman, Boby. "Analisis Manfaat Data Digital Spasial Bagi Desa." Pondasi 27, no. 1 (July 17, 2022): 88. http://dx.doi.org/10.30659/pondasi.v27i1.22891.

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ABSTRAKTeknologi digital mampu berkembang lebih cepat, mengjangkau segala sudut daerah termasuk desa. Salah satu aspek pengembangan teknologi pada bidang pendata arsip. Digitalisasi data spasial desa memiliki manfaat yang lebih dibandingkan dengan pendataan dan arsip konvensional. Penelitian menggunakan metode kualitatif, melalui pendekatan literature review, serta pengambilan sampel empiris sebagai kegiatan pengabdian dan gambaran eksistingnya yang ada. Hasilnya digitalisasi data spasial mampu memberikan manfaat pada luasan jangkauan sebaran informasi pelayanan, memiliki nilai multi efisiensi untuk berbagai kondisi, dan mampu memberikan kajian fenomena lapangan sebagai dasar pengambilan kebijakan yang lebih baik.Kata Kunci : Data Digital, Data Spasial, Data Desa ABSTRACT Digital technology is able to develop faster, reaching all corners of the region including villages. One aspect of technology development in the field of archival data collection. Digitizing village spatial data has more benefits than conventional data collection and archives. The research uses qualitative methods, through a literature review approach, as well as empirical sampling as a service activity and an existing description. The result is that digitizing spatial data is able to provide benefits to the extent of the distribution of service information, has multi-efficiency values for various conditions, and is able to provide field phenomenon studies as a basis for better policy making. Keywords: Digital Data, Spatial Data, Village Data
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