BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//pretalx.com//spathum24//speaker//9X7FNW BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-spathum24-KZXUZY@pretalx.com DTSTART;TZID=CET:20240927T093000 DTEND;TZID=CET:20240927T100000 DESCRIPTION:Monument inventories have existed in Europe since the 19th cent ury\, but only a few are still available digitally today. The following ar ticle discusses how relevant data on the monument inventory of the German Democratic Republic (GDR) and the Federal Republic of Germany (FRG) can be found in (digital) archives/repositories and why it makes sense to transf er information from analog sources into digital formats. Furthermore\, the data quality of current digital data on monument inventories in Germany i s examined\, followed by the derivation of further steps for the visualiza tion of various monument inventories. Three different approaches will be e valuated: 1. the use of Python\, 2. the use of FactGrid and 3. the use of WissKi in combination with a Flask framework. These approaches will be dem onstrated using the case study of the Berlin monument inventory at the tim e of the merging of monument lists from the GDR and the FRG.\n\n\nInventor ies and Maps of Monument Inventories in Germany\nDigital maps depicting th e current inventory of monuments exist in great numbers\; however\, thus f ar\, they have always been limited to individual federal states or monumen t regions and only rarely designed to be interoperable or reusable. \nFurt hermore\, they all lack a temporal component\, creating the impression tha t monument registries are an immutable product. The project outlined here contributes to the creation of an interactive platform aimed at highlighti ng historical changes in the monument inventory\, strengthening awareness of cultural heritage in Germany\, and promoting dialogue on monument conse rvation and inventory processes.\nThe focus of the project lies in the dev elopment of an innovative\, map-based web application that allows for the visualization of temporal and spatial relationships and changes. This not only fosters understanding of the history of the monument inventory but al so facilitates the identification of trends in societal and political enga gement with it.\nDue to the multitude of lists\, inventories\, and other d ata and source collections\, this will be exemplified within the scope of the presentation using the federal state of Berlin.\n\n\nData Quality and Methodology\n\nWhen examining the data and sources\, three problems immedi ately become apparent:\n 1. Outdated street and object designations tha t hinder clear assignment\,\n 2. General lack of geodata/georeferencing \, and\n 3. The challenge of capturing analog information as well as tr ansparency regarding the provincial nature of the data.\nFurthermore\, que stions arise regarding how geodata is modeled and processed. This includes the standardization or transformation of coordinates. In the case describ ed here\, the decision was made for the decimal degree system. In the abse nce of coordinate data\, spatial reference information was assigned throug h geocoding using Python. Regarding GIS data quality\, efforts were made t o adhere to the appropriate ISO 19157. Additional information on objects t hat could be extracted from the topographies was also stored in an OpenDoc ument database at first hand.\nThree different approaches are presented in this study with the aim of evaluating possible ways for creating an appli cation that is as sustainable and lightweight as possible and that can be connected to other projects and initiatives\, such as the National Researc h Data Infrastructure.\n\n1. Inventories of Monuments in a Python Environm ent\nIn terms of the methodological approach\, it may be surprising that e stablished GIS software is not used. However\, this decision was conscious ly made because working in a Python environment does not require software installation\, thus being resource-efficient and flexible (also regarding different operating systems). Moreover\, the focus of the project study pr esented here lies on the visualization and analysis of geodata representat ion rather than the capture and management of extensive datasets. Working with Python also allows for easy export options for visualizations\, enabl ing straightforward embedding into web applications. Additionally\, variou s forms of visualization can be quickly implemented and easily adjusted an d re-visualized depending on the question at hand. The folium library buil ds on the strengths of the Python ecosystem in data processing and the str engths of the Leaflet.js library in mapping\, making it easy to manipulate data in a Leaflet map. In addition to representing data in the form of po ints (markers)\, polygons can also be created.\n\n2. Inventories of Monume nts in FactGrid\nUsing FactGrid to store and analyze information about her itage inventories offers several compelling advantages. FactGrid provides a structured and collaborative platform specifically designed for storing and organizing historical data. This structured approach ensures that info rmation related to heritage inventories can be systematically cataloged an d easily retrieved\, facilitating efficient research and analysis. Further more FactGrid supports the creation of interconnected datasets\, allowing researchers to explore complex relationships between different elements of heritage inventories. By linking related data points within the FactGrid framework\, users can uncover hidden patterns\, trends\, and connections t hat may not be immediately apparent through traditional methods of analysi s.\n\n3. Inventories of Monuments in WissKI in combination with a Flask-Fr amwork\nCombining WissKI with a Flask framework presents a compelling appr oach  for analyzing monument inventories in space and time due to several key  advantages. WissKI provides a structured environment specifically designed for  managing and analyzing complex historical data\, including monument  inventories. Its flexible data model allows for the organizatio n of  spatial and temporal information in a coherent manner\, enabling  researchers to capture the nuanced relationships between monuments\,  loc ations\, and historical contexts. By integrating Flask with WissKI\, rese archers can create interactive  visualization tools and analytical interf aces that leverage the  structured data stored within WissKI\, enabling d ynamic exploration of  monument inventories across different spatial and temporal dimensions. Moreover\, the combination of WissKI and Flask enabl es scalability and  interoperability\, allowing researchers to seamlessly integrate  additional data sources and analytical tools as needed. DTSTAMP:20260513T093409Z LOCATION:MG1/02.05 SUMMARY:Inventories for Eternity? A History of Science in the Inventorying of Monuments during Times of Transformation - Franziska Klemstein URL:https://pretalx.com/spathum24/talk/KZXUZY/ END:VEVENT END:VCALENDAR