Metadata Values Research Articles

Mapping the hot stamping process through developing distinctive digital characteristics

Structural components produced through hot stamping of lightweight materials, such as aluminium alloys, play a pivotal role in mass reduction, leading to decreased CO2 emissions and enhanced fuel efficiency, especially in applications such as electric vehicles, high-speed trains, and aircraft. Concurrently, the hot stamping process is experiencing an exponential increase in data generation, stemming from ongoing production, research, and development activities. Yet, translating the inherent values of these voluminous metadata into scientific innovations and industrial breakthroughs requires the emerging expertise by consolidating the knowledge of hot stamping and data science. Here, the authors have conceptualised and developed the digital characteristics (DC) for manufacturing processes. The DC serves as the ‘DNA’ of every manufacturing process by encompassing its inherent and distinctive natures spanning over the design, manufacturing and application phases of the manufactured products. Focusing on the hot stamping process, the authors have developed the unique DC from voluminous hot stamping data derived from experimentally validated simulations and sensing networks. Results demonstrate that the DC revealed the distinct evolutionary thermo-mechanical characteristics of the hot stamping process in terms of representative geometric features, which facilitates the fundamental scientific understanding and unlocks the potential on implementing data-centric scientific innovations in advanced manufacturing paradigms.

Abstract 2344: Federated image quality assessment of prostate MRI scans in a multi-institutional setting

Abstract Introduction: Reliability of machine and deep learning models on medical images can be compromised by the presence of image artifacts of variability in image acquisition. This is further exacerbated when validating model performance across multiple institutions, where multiple acquisition protocols and scanner equipment may result in significant numbers of outlier scans. We developed a privacy-preserving outlier identification algorithm via federated MR imaging quality evaluation of a distributed multi-institutional cohort of prostate MRI scans. Methods: This retrospective study utilized T2-weighted prostate MRI scans from 1 public collection (used as a template) and 3 federated institutions. An open-source MR image quality evaluation tool (MRQy) was implemented via Docker within the RhinoHealth Federated Computing Platform (FCP). This enabled remote extraction of 9 specific metadata values and remote computation of 15 quality measurements from each scan, while ensuring confidentiality of patient data by avoiding direct access to patient images and information. Centralized analysis of extracted image quality attributes utilized a rule-based classifier to determine whether individual metadata or measurement values for a given MRI scan fell within or outside predefined bounds: (i) ±20% of template metadata values, (ii) 5th - 95th percentile range of template measurement values. Scans were considered outliers if more than 60% of their image quality attributes fell outside predefined bounds. Results: In total, 630 MRI scans from 3 institutions were analyzed in a federated manner. 344 MRI scans from 1 public collection formed a benchmark cohort to calibrate the rule-based classifier and determine predefined bounds for outlier detection. Centralized analysis of federated image quality attributes showed marked differences in the number of outliers per institution (3%, 19%, 79% for Institutions 1, 2, 3, respectively). Further analysis of Institution 3 determined significant intensity and resolution differences compared to other institutions, requiring extensive post-processing prior to downstream analysis. Conclusion: Federated image quality assessment can allow for distributed, privacy preserving analysis of outliers and thus curate multi-institutional cohorts of consistent quality for downstream machine learning tasks. Further analysis of the impact of quality-based curation on federated machine learning applications is currently underway. Citation Format: Mohsen Hariri, Prathyush Chirra, Malhar Patel, Tal Tiano Einat, Ittai Dayan, Alex Tonetti, Yuval Baror, Tristan Barrett, Nikita Sushentsev, Joshua D. Kaggie, Shuaiyu Yuan, Dufan Wu, Baihui Yu, Zhiliang Lyu, Cheyu Hsu, Weichung Wang, Smitha Krishnamurthi, Satish E. Viswanath. Federated image quality assessment of prostate MRI scans in a multi-institutional setting [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2344.

The historical Greenland Climate Network (GC-Net) curated and augmented level-1 dataset

Abstract. The Greenland Climate Network (GC-Net) consists of 31 automatic weather stations (AWSs) at 30 sites across the Greenland Ice Sheet. The first site was initiated in 1990, and the project has operated almost continuously since 1995 under the leadership of the late Konrad Steffen. The GC-Net AWS measured air temperature, relative humidity, wind speed, atmospheric pressure, downward and reflected shortwave irradiance, net radiation, and ice and firn temperatures. The majority of the GC-Net sites were located in the ice sheet accumulation area (17 AWSs), while 11 AWSs were located in the ablation area, and two sites (three AWSs) were located close to the equilibrium line altitude. Additionally, three AWSs of similar design to the GC-Net AWS were installed by Konrad Steffen's team on the Larsen C ice shelf, Antarctica. After more than 3 decades of operation, the GC-Net AWSs are being decommissioned and replaced by new AWSs operated by the Geological Survey of Denmark and Greenland (GEUS). Therefore, making a reassessment of the historical GC-Net AWS data is necessary. We present a full reprocessing of the historical GC-Net AWS dataset with increased attention to the filtering of erroneous measurements, data correction and derivation of additional variables: continuous surface height, instrument heights, surface albedo, turbulent heat fluxes, and 10 m ice and firn temperatures. This new augmented GC-Net level-1 (L1) AWS dataset is now available at https://doi.org/10.22008/FK2/VVXGUT (Steffen et al., 2023) and will continue to be refined. The processing scripts, latest data and a data user forum are available at https://github.com/GEUS-Glaciology-and-Climate/GC-Net-level-1-data-processing (last access: 30 November 2023). In addition to the AWS data, a comprehensive compilation of valuable metadata is provided: maintenance reports, yearly pictures of the stations and the station positions through time. This unique dataset provides more than 320 station years of high-quality atmospheric data and is available following FAIR (findable, accessible, interoperable, reusable) data and code practices.

The status quo of Indian data repositories indexed in re3data registry

PurposeThe purpose of this study was to understand the landscape of Indian research data repositories (RDRs) indexed in the re3data.org. The study analysed the metadata elements of Indian RDRs to identify their disciplinary orientations, typology, standards adopted, foreign collaborations, etc. The study ascertained the current status of the Indian RDRs by visiting their respective websites and tried to identify and map the exact disciplinary orientation of each RDR.Design/methodology/approachThe study used “content analysis” of the metadata elements extracted from re3data.org along with the information analysis of the respective websites of the registered RDRs.FindingsThe study identified that only 80% of the Indian RDRs listed by the re3data.org is currently active. Most of the Indian RDRs are hosted by the central and state governments and are almost equally distributed among Life Sciences, Natural Sciences and Social Sciences domains. The data provided by the re3data.org for the Indian RDRs are not complete and up-to-date.Practical implicationsThe findings indicate the presence of a good number of inactive RDRs in the re3data.org. The study suggests using a revised version of the DFG subject classification scheme or considering a standard classification scheme for subject indexing.Originality/valueTo the best of the authors’ knowledge, this study is the first of its kind that critically analysed the metadata values extracted and moved further to identify the current status of Indian RDRs.

A Whole New Information World

This introductory article explores the interconnectedness of the articles in this issue through the lens of artificial intelligence (AI), bots, and other technologies. The articles presented in this issue strive to demonstrate how the library and information science (LIS) field uses AI to interrogate social conflicts, critically question our professional knowledge base, engage in localized community knowledge building, and create interactive maps to preserve cultural knowledge and decentralize Western metadata values in non-Western contexts. This introductory article is presented as a readerly and writerly response to those articles because, as an experiment, I have co-authored this piece using Google’s Bard, a recently released AI chatbot. Google’s Bard is a powerful tool that generates text, translates languages, writes creative content, and answers questions. In this editorial, I share my own experience using Bard to identify the implications of AI as a co-author of the text. I discuss its advantages (if any) and disadvantages, and I outline how AI could impact the future of the LIS field.

The genesis of electronic messages as evidence in civil proceedings

The article is devoted to the question of the genesis of electronic messages as evidence in civil proceedings, in particular, the historical and legal analysis of the introduction of electronic correspondence in the territory of Ukraine and their legal evolution from a means of communication to an independent means of proof.
 The article analyzes the concept of "electronic communication", a component of which is electronic correspondence. The main approaches to the interpretation of the concept of "electronic message" in regulatory and legal acts and scientific and technical literature were studied, the analysis of the distinction between the generalized concept of "electronic message" and "text, multimedia and voice messages", which is enshrined in the Civil Procedure Code of Ukraine, was carried out. The main features of an electronic message are highlighted: it contains information (certain information and/or data), has an electronic (digital) form, is transmitted using technical means of communication.
 The stages of the scientific and technical evolution of the Internet and mobile communications as the main channels of electronic communication are studied, and the statistics of their distribution in the world and Ukraine are given. The historical prerequisites for the emergence and development of the main environments for the functioning of electronic messages are characterized: sms-messages, e-mail, social networks and messengers.
 The evolution of scientific and legal positions regarding the use of electronic correspondence as an evidential basis in civil proceedings from the moment of its emergence as a method of communication to its legal consolidation as a means of proof was studied, in particular, the stages of adaptation of the legal framework and judicial practice in Ukraine were characterized.
 The current state and problems of using electronic messages as evidence in civil proceedings are characterized. The problematic aspect of using an electronic signature for recording electronic messages and the corresponding distinction between "electronic message" and "electronic document" were studied. The modern trends of changing the judicial paradigm to the principle of self-identification of the author, the presumption of integrity (authenticity) of the evidence, the use of the "letter in response" doctrine and the increase in the legal and evidentiary value of metadata, which will improve the dynamics of using electronic messages as evidence in civil proceedings, have been recorded.

Allocation of attention to metadata and retrieval functions: Implications for perceived value and open data discovery and reuse

Metadata and retrieval functions play a vital role in aiding researchers in the discovery and reuse of open data. However, the diversity of metadata elements and retrieval functions poses a challenge to data searchers’ limited attentional resources. This study aims to examine the allocation of attention to metadata elements and retrieval functions and its implications for perceived value and intentions to discover and reuse open data by drawing upon the attentional drift-diffusion model, flow theory, and perceived value literature. An experiment with 48 participants was conducted to explore the proposed relationships. Multiple linear regression analysis was performed to analyze the data. The results suggest that researchers’ attention to high-value functions amplifies the perceived value and motivates data discovery intention. Attention to high-value metadata elements motivates data discovery and reuse intention. In contrast, attention to low-value metadata elements hampers the perceived value and inhibits data discovery and reuse intention. These findings put forward a new lens for exploring the attention mechanisms underlying perceived value, data discovery and reuse intention and highlight the important role of the value of metadata and retrieval functions in attention mechanisms. Additionally, this paper identifies the positive effect of perceived ease of use on users’ intentions to find, evaluate, and access open data. Perceived usefulness positively affects users’ intentions to evaluate open data. However, in contrast to perceived intentions to reuse open data assessed by self-reported measures, perceived value is not a salient motivator of open data reuse intention measured by behavioral indicators. These findings reveal the distinct effects of perceived value on perceived intention and intentional action in data reuse. With these insights, this study develops practical strategies to optimize the design of metadata and retrieval functions in data retrieval systems.

Method of Determining the Source of Messages Based on Processing the Time of Their Receipt

Purpose of research is to create a method for determining the source of messages in the receiver, which allows, based on the analysis of the characteristics of the distribution of the time of receipt of messages, to increase the reliability of determining the source.Methods. Authentication of the message source is based on statistical analysis of metadata values, which in this study are the time intervals between messages. The metadata processing model is based on the well-known model of receiving messages from the target source in LoRaWAN networks. At the same time, the source was determined using coding methods in the block coupling mode, which provide higher identification reliability for short-length messages characteristic of the specified type of networks. With the help of numerical modeling, the patterns of changes in the characteristics of the time of receipt of messages in the event of an identification error were determined. The decision-making rule is also formulated in case of impossibility of authentication based on processing the contents of identification fields. Studies have shown the effectiveness of the application of the source detection model in various ranges of parameters for the formation of message sequences.Results. The result of the conducted research is the development of an authentication method based on the analysis of the time of receipt of messages to the receiver, which differs in that it uses the characteristics of the distribution of moments of high orders for a series of time delays as the analyzed data. Its use in combination with coding methods in the message concatenation mode reduces the probability of a single message replacement error in a sequence by 4-6 times, compared with methods that perform identification only based on the results of processing the identifiers of the messages themselves.Conclusion. The result of experimental studies has shown the possibility of using the developed method to increase the reliability of determining the authenticity of the source of messages, the possibility of reducing the number of reinquiries that occur when errors are detected, the possibility of reducing the size of additional identifier fields in each message. The resulting effect will be expressed in a general increase in the bandwidth of the communication channel between remote components of a distributed system.

The seeker R package: simplified fetching and processing of transcriptome data.

Transcriptome data have become invaluable for interrogating biological systems. Preparing a transcriptome dataset for analysis, particularly an RNA-seq dataset, entails multiple steps and software programs, each with its own command-line interface (CLI). Although these CLIs are powerful, they often require shell scripting for automation and parallelization, which can have a high learning curve, especially when the details of the CLIs vary from one tool to another. However, many individuals working with transcriptome data are already familiar with R due to the plethora and popularity of R-based tools for analyzing biological data. Thus, we developed an R package called seeker for simplified fetching and processing of RNA-seq and microarray data. Seeker is a wrapper around various existing tools, and provides a standard interface, simple parallelization, and detailed logging. Seeker's primary output-sample metadata and gene expression values based on Entrez or Ensembl Gene IDs-can be directly plugged into a differential expression analysis. To maximize reproducibility, seeker is available as a standalone R package and in a Docker image that includes all dependencies, both of which are accessible at https://seeker.hugheylab.org.

PENYEBERANGAN METADATA (METADATA CROSSWALKS): ISAD (G), PERKA ANRI 21/2011, ISO 23801, RiC DAN DUBLIN CORE DI PERSIMPANGAN

The aims of this study are to identify and describe crosswalks that perform and develop in SIKN and JIKN at National Archives of the Republic of Indonesia. This study uses a qualitative approach with a case study. Data was collected by online interviews on June-August 2021 and collecting documents. The results show that implementation and metadata development is related to international communities such as ICA and ISO. Analysis of metadata properties shows that metadata and description elements have similarity and different meanings, optional and mandatory elements, multilevel description, application profile that contains 4 ICA standards, inconsistencies metadata value, and did not use subject vocabularies and thesaurus. The metadata obstacle is the lack of archival information from SIKN, harvested archives is just an item, a method for metadata import/export performed manually thus metadata is not up to date in JIKN. Metadata crosswalks produce table of metadata mapping from ISAD (G), Regulatory chief of ANRI 21/2011, ISO 23801, and RiC to Dublin Core. They show the the similarities and differences metadata elements and description that was developing in archival tradition. The study suggests that ANRI adopt Indonesia Onesearch to develop metadata harvesting for SIKN and JIKN. Moreover, ANRI needs to create controlled vocabulary and perform certification for designing SIKN and operating JIKN

BiodivBank: designing a global repository and portal for structured biodiversity data

Our goal is to mobilize global species abundance and assemblage information, via a dedicated and openly accessible data repository and web portal. Preservation of raw observational data is a complement to the modelled geographic projections that are the focus of related projects such as the EBV Data Portal, which provides access to EBV (Essential Biodiversity Variables) raster datasets. Key to this effort is an emphasis on the use of standardized terms to ensure interoperability with other services, as well as annotation of (meta)data fields and values to aid discoverability and create a product that adheres to the FAIR data principles, requesting data to be Findable, Accessible, Interoperable, and Reusable (Wilkinson et al. 2016). For example, retrieval and storage of globally unique, persistent and resolvable identifiers for core aspects of the data such as taxon names and geospatial locations can serve not only to underpin more advanced search functionality for portal users, but also facilitate future efforts to link open data within online knowledge networks. However addressing social challenges may be equally important in determining the success of the portal. Where do we fit within the biodiversity data landscape and how can we incentivize researchers to submit datasets? What is our data policy? How should we retain provenance and ensure visibility for data providers? Sometimes the choice of a technical solution can itself lower social barriers, for example by providing an intuitive graphical interface to ease upload of the detailed methodological metadata characteristic of these event-based datasets, or by blurring geographic coordinates in order to reduce the risk that threatened species are located. We will present our plans for the web platform currently under construction, and welcome comment on them, to ensure that the portal meets the needs of a diverse range of potential stakeholders.

Corpus of Slovak Legislative Documents

Abstract The article describes the construction of the corpus of Slovak legislative documents. By analyzing several statistical values of the source metadata and documents, we efficiently improve corpus quality. We describe the methods used to clean up small variations in metadata, length based discrimination of document and examine the effectiveness of several strategies of deduplication. The corpus is a part of a comparable corpus of legislative documents of seven languages, created in the Multilingual Resources for CEF.AT in the Legal Domain (MARCELL) project.

Approaches to Conceptualizing the Cost of Academic Library Cataloging: Discourses on Metadata Creation Cost, Value, and Worth

Approaches to Conceptualizing the Cost of Academic Library Cataloging: Discourses on Metadata Creation Cost, Value, and Worth

On the Calculation and Usage of HDR Static Content Metadata

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HDR10 is a common platform-agnostic video format that is widely used for ultrahigh-definition (UHD-1)/4K content distribution. HDR10 includes 10-bit video data formatted for the perceptual quantization (PQ) electro-optical transfer function (EOTF) using color encoding primaries corresponding to International Telecommunication Union - Radiocommunication (ITU-R) BT.2020 (and BT.2100) and includes optional “static metadata.” HDR10 static metadata typically comprises two different types of metadata, mastering display metadata and content metadata. This paper discusses the meaningful calculation and usage of static content metadata for the display and processing of HDR10 content. Outlier values in the high-dynamic-range (HDR) pixel values can exist in content being mastered today and a simple statistical approach is presented to reduce the outlier’s influence on the static content metadata values. Additionally, this paper describes how a display or process can utilize good and reliable maximum content light level (MaxCLL) values to improve the reproduction of creative intent</i> .

GP2S, an Information Management System for CryoEM Experiments

Cryogenic electron microscopy (cryoEM) has become an integral part of many drug-discovery projects because crystallography of the protein target is not always achievable and cryoEM provides an alternative means to support structure-based ligand design. When dealing with a large number of distinct projects, and within each project a potentially large number of ligand-protein co-structures, accurate record keeping rapidly becomes challenging. Many experimental parameters are tuned for each target, including at the sample preparation, grid preparation, and microscopy stages. Therefore, accurate record keeping can be crucially important to enable long-term reproducibility, and to facilitate efficient teamwork, especially when steps of the cryoEM workflow are performed by different operators. To help deal with this challenge, we developed a web-based information management system for cryoEM, called gP2S. The application keeps track of each experiment, from sample to final atomic model, in the context of projects, a list of which is maintained in the application, or externally in a separate system. User-defined controlled vocabularies of consumables, equipment, protocols and software help describe each step of the cryoEM workflow in a structured manner. gP2S is widely configurable and, depending on the team's needs, may exist as a standalone product or be a part of a broader ecosystem of scientific applications, integrating via REST APIs with project management tools, applications tracking the production of proteins or of small molecules ligands, or applications automating data collection and storage. Users can register details of each grid and microscopy session including key experimental metadata and parameter values, and the lineage of each experimental artifact (sample, grid, microscopy session, map, etc.) is recorded. gP2S serves as a cryoEM experimental workflow organizer that enables accurate record keeping for teams, and is available under an open-source license.

GP2S, an Information Management System for CryoEM Experiments.

Cryogenic electron microscopy (cryoEM) has become an integral part of many drug-discovery projects because crystallography of the protein target is not always achievable and cryoEM provides an alternative means to support structure-based ligand design. When dealing with a large number of distinct projects, and within each project a potentially large number of ligand-protein co-structures, accurate record keeping rapidly becomes challenging. Many experimental parameters are tuned for each target, including at the sample preparation, grid preparation, and microscopy stages. Therefore, accurate record keeping can be crucially important to enable long-term reproducibility, and to facilitate efficient teamwork, especially when steps of the cryoEM workflow are performed by different operators. To help deal with this challenge, we developed a web-based information management system for cryoEM, called gP2S. The application keeps track of each experiment, from sample to final atomic model, in the context of projects, a list of which is maintained in the application, or externally in a separate system. User-defined controlled vocabularies of consumables, equipment, protocols and software help describe each step of the cryoEM workflow in a structured manner. gP2S is widely configurable and, depending on the team's needs, may exist as a standalone product or be a part of a broader ecosystem of scientific applications, integrating via REST APIs with project management tools, applications tracking the production of proteins or of small molecules ligands, or applications automating data collection and storage. Users can register details of each grid and microscopy session including key experimental metadata and parameter values, and the lineage of each experimental artifact (sample, grid, microscopy session, map, etc.) is recorded. gP2S serves as a cryoEM experimental workflow organizer that enables accurate record keeping for teams, and is available under an open-source license.

ViromeBrowser: A Shiny App for Browsing Virome Sequencing Analysis Results.

Experiments in which complex virome sequencing data is generated remain difficult to explore and unpack for scientists without a background in data science. The processing of raw sequencing data by high throughput sequencing workflows usually results in contigs in FASTA format coupled to an annotation file linking the contigs to a reference sequence or taxonomic identifier. The next step is to compare the virome of different samples based on the metadata of the experimental setup and extract sequences of interest that can be used in subsequent analyses. The viromeBrowser is an application written in the opensource R shiny framework that was developed in collaboration with end-users and is focused on three common data analysis steps. First, the application allows interactive filtering of annotations by default or custom quality thresholds. Next, multiple samples can be visualized to facilitate comparison of contig annotations based on sample specific metadata values. Last, the application makes it easy for users to extract sequences of interest in FASTA format. With the interactive features in the viromeBrowser we aim to enable scientists without a data science background to compare and extract annotation data and sequences from virome sequencing analysis results.

KARAKTERISTIK METADATA PADA SHARING FILE DI MEDIA SOSIAL UNTUK MENDUKUNG ANALISIS BUKTI DIGITAL

Metadata is information in a file which its contents are an explanation of the file. Metadata contains information about the contents of data for file management purposes. In various cases involving digital evidence, investigators can uncover a case through the metadata file. Problems that arise when file metadata has changed or deleted information, for example, the moment that a file is shared via social media. Basically, all of the shared files through social media will experience changes in metadata information. This study conducted detailed analysis of changes in metadata information and hex dump values to determine the changing characteristics of metadata files shared in social media. This research method applied a comparison table to see the details of changes in metadata values from all files and social media as research objects. The results of this study are expected to have contribution for forensic analysts to identify the shared metadata characteristics of files in social media. As a result, later, the source of shared files in social media will be known. Moreover, it is expected from these findings that forensic analysts can explore the social media used by the cybercrime perpetrators.

Analysis of Public Space Dynamics Based on Instagram and Flickr Data

The general increase in the use of social media platforms since 2010 is related to the growing amount of data collected on the Internet, which may represent an opportunity for urban research. By analysing publicly available geolocated data from social media platforms, it is possible to track changes in the attractiveness and spatiotemporal dynamics of public spaces through their different stages of development. In this paper, we analyse data obtained from the Instagram and Flickr - for both platforms, user-sharing photographs is their main feature. Photos taken during daily interactions in public space have a symbolic value. In addition, social media posts contain valuable metadata that can be used for analysis and information discovery. In research, social media posts are used to measure and identify the attractiveness and dynamics of a selected public space. Data was collected by using the REST API technology. Two case studies are presented that retrospectively analyse the attractiveness and dynamics of selected public spaces from Graz (Austria) and Maribor (Slovenia). The research results show that the data from the Flickr platform, which provides access to the exact geolocation of the posted photos, can show the attractiveness of the locations, as the popular sights in both cities were clearly identified on the generated heatmaps. The maps showed locations that were perceived as important and attractive by residents or visitors in order to document them, which indicates certain motivation or even quality that confirms the expected correlation. With the methodology presented, the data collected on the Instagram social media platform can, to a certain extent, reflect the activities carried out in the physical public space, even if it cannot provide a complete picture. The research results are considered a valuable proxy for determining the general level of social interaction in public space. The methodology presented demonstrates the innovative approach to retrospective analysis of dynamics and changing attractiveness from social media perspective in public space. In the future, however, more social media data will be available, which will allow a more specific analysis and - in combination with other data sources - a more effective detection of deficiencies in public space, but also better urban planning and management. Finally, there is an enormous potential for retrospective research using the comparative method, but also for linking new ICT driven approaches with traditional methods.

Tourism Destination Grouping Systems With Partitioning Clustering Method from Geotagged Photo using Android

This application is focused on grouping photos that have information about the location of the photo. To get the location of the nearest tourism destination is by taking the location coordinate value from the uploaded photo then grouping it with a maximum distance of 1 kilometer. The main location for data collection is in Gunung Kidul Regency. This application uses Android for its development. For data processing and transforming scripts into the JSON file uses PHP and for storing the data uses MySQL.The metadata of the photo contains detail information about the photo. In the application shown the few information of its metadata such as the date and time took, image size and resolution, camera maker and model, also coordinate latitude and longitude. The location and metadata values will be shown in the application and stored in the database. Partitioning Clustering method used to find the nearest place within the 1 km radius. First of all by taking the coordinates value from an uploaded photo and stored to a database. The coordinate must be converted from Degree Minute Second Format into Latitude and Longitude Coordinate. After that, the calculation process starting with uses the Euclidean Distance formula to get the nearest distance of the attractions. To display the nearest location, sorting the result values from a minimum value to the maximum value as the final result. The application could be a reference for tourists who will visit Gunung Kidul Regency.