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Found 6 result(s)

ArkeoGIS

ArkeoGIS

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ArkeoGIS is a unified scientific data publishing platform. It is a multilingual Geographic Information System (GIS), initially developed in order to mutualize archaeological and paleoenvironmental data of the Rhine Valley. Today, it allows the pooling of spatialized scientific data concerning the past, from prehistory to the present day. The databases come from the work of institutional researchers, doctoral students, master students, private companies and archaeological services. They are stored on the TGIR Huma-Num service grid and archived as part of the Huma-Num/CINES long-term archiving service. Because of their sensitive nature, which could lead to the looting of archaeological deposits, access to the tool is reserved to archaeological professionals, from research institutions or non-profit organizations. Each user can query online all or part of the available databases and export the results of his query to other tools.

Historical Data Centre Saxony-Anhalt

Historisches Datenzentrum Sachsen-Anhalt

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<<<!!!<<< The digital archive of the Historical Data Center Saxony-Anhalt was transferred to the share-it repositor https://www.re3data.org/repository/r3d100013014 >>>!!!>>> The Historical Data Centre Saxony-Anhalt was founded in 2008. Its main tasks are the computer-aided provision, processing and evaluation of historical research data, the development of theoretically consolidated normative data and vocabularies as well as the further development of methods in the context of digital humanities, research data management and quality assurance. The "Historical Data Centre Saxony-Anhalt" sees itself as a central institution for the data service of historical data in the federal state of Saxony-Anhalt and is thus part of a nationally and internationally linked infrastructure for long-term data storage and use. The Centre primarily acquires individual-specific microdata for the analysis of life courses, employment biographies and biographies (primarily quantitative, but also qualitative data), which offer a broad interdisciplinary and international analytical framework and meet clearly defined methodological and technical requirements. The studies are processed, archived and - in compliance with data protection and copyright conditions - made available to the scientifically interested public in accordance with internationally recognized standards. The degree of preparation depends on the type and quality of the study and on demand. Reference studies and studies in high demand are comprehensively documented - often in cooperation with primary researchers or experts - and summarized in data collections. The Historical Data Centre supports researchers in meeting the high demands of research data management. This includes the advisory support of the entire life cycle of data, starting with data production, documentation, analysis, evaluation, publication, long-term archiving and finally the subsequent use of data. In cooperation with other infrastructure facilities of the state of Saxony-Anhalt as well as national and international, interdisciplinary data repositories, the Data Centre provides tools and infrastructures for the publication and long-term archiving of research data. Together with the University and State Library of Saxony-Anhalt, the Data Centre operates its own data repository as well as special workstations for the digitisation and analysis of data. The Historical Data Centre aims to be a contact point for very different users of historical sources. We collect data relating to historical persons, events and historical territorial units.

Germania Sacra Online

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Germania Sacra is a long-term research project ongoing at the Göttingen Academy of Sciences and Humanities. The project has a long-standing tradition of researching the history of dioceses, monasteries, collegiate churches, and convents within the Holy Roman Empire. The results of this work are published in reference books, the digital editions of these reference books along with two databases are the core components of Germania Sacra’s Online Portal. One of these databases is the ‘Digital Index of Persons’, which provides access to biographical and prosopographical information about the clerical staff affiliated to the institutions researched. This includes information about the bishops of a diocese, the canons or canonesses of individual collegiate churches, the monks and nuns of numerous monasteries, etc. The second primary feature of the online portal is the ‘Database of Monasteries, Collegiate Churches, and Convents of the Holy Roman Empire’.

TAMBORA

tambora.org

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The main focus of tambora.org is Historical Climatology. Years of meticulous work in this field in research groups around the world have resulted in large data collections on climatic parameters such as temperature, precipitation, storms, floods, etc. with different regional, temporal and thematic foci. tambora.org enables researchers to collaboratively interpret the information derived from historical sources. It provides a database for original text quotations together with bibliographic references and the extracted places, dates and coded climate and environmental information.

Ancient Sundials

BSDP

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The repository contains all digital data such as images, 3d models and analysis which were acquired in the Ancient Sundials Project.

GIGA Research Data

GIGA Metadata Database

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The GIGA (German Institute of Global and Area Studies) researchers generate a large number of qualitative and quantitative research data. On this page you will find descriptions of this research data ("metadata") as well as information about the available access options. To facilitate its reuse, and to enhance research transparency, a large part of the GIGA research data is published in datorium, a repository hosted by the GESIS Leibniz Institute for the Social Sciences: https://www.re3data.org/repository/r3d100011062 Our objective is to offer free access to as much of our data as possible, to guarantee the possibility of its citation, and to secure its safe storage. Metadata of research data that cannot be published open access due to its sensitivity is also shown on this page.