Loading…
Design and Implementation of a Historical German Firm-level Financial Database
Broad, long-term financial, and economic datasets are scarce resources, particularly in the European context. In this article, we present an approach for an extensible data model that is adaptable to future changes in technologies and sources. This model may constitute a basis for digitized and stru...
Saved in:
Published in: | ACM journal of data and information quality 2022-09, Vol.14 (3), p.1-22, Article 19 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-a136t-f522015d2be236044dfb4da50cc455f0963a274779945044770bd8502d3738a23 |
container_end_page | 22 |
container_issue | 3 |
container_start_page | 1 |
container_title | ACM journal of data and information quality |
container_volume | 14 |
creator | Gram, Dennis Karapanagiotis, Pantelis Liebald, Marius Walz, Uwe |
description | Broad, long-term financial, and economic datasets are scarce resources, particularly in the European context. In this article, we present an approach for an extensible data model that is adaptable to future changes in technologies and sources. This model may constitute a basis for digitized and structured long-term historical datasets for different jurisdictions and periods. The data model covers the specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence, achieving extensibility. Furthermore, we outline a relational implementation of this approach based on historical German firm and stock market data from 1920 to 1932. |
doi_str_mv | 10.1145/3531533 |
format | article |
fullrecord | <record><control><sourceid>acm_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1145_3531533</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3531533</sourcerecordid><originalsourceid>FETCH-LOGICAL-a136t-f522015d2be236044dfb4da50cc455f0963a274779945044770bd8502d3738a23</originalsourceid><addsrcrecordid>eNo9kEtLxDAUhYMoOI7i3lV2rqp53aZdyozzgEE3ui63eUikTYekCP57K_NY3QPfx-FyCLnn7IlzBc8SJAcpL8iM17IseF3Ky3MGuCY3OX8zVlZC8Rl5W7ocviLFaOm233eud3HEMQyRDp4i3YQ8DikY7OjapR4jXYXUF537cd0UI0YTJrbEEVvM7pZceeyyuzveOflcvX4sNsXufb1dvOwK5LIcCw9CMA5WtE7IkillfassAjNGAXg2_YxCK63rWsGEtWatrYAJK7WsUMg5eTz0mjTknJxv9in0mH4bzpr_GZrjDJP5cDDR9GfpBP8AZ-9Vbg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Design and Implementation of a Historical German Firm-level Financial Database</title><source>Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list)</source><creator>Gram, Dennis ; Karapanagiotis, Pantelis ; Liebald, Marius ; Walz, Uwe</creator><creatorcontrib>Gram, Dennis ; Karapanagiotis, Pantelis ; Liebald, Marius ; Walz, Uwe</creatorcontrib><description>Broad, long-term financial, and economic datasets are scarce resources, particularly in the European context. In this article, we present an approach for an extensible data model that is adaptable to future changes in technologies and sources. This model may constitute a basis for digitized and structured long-term historical datasets for different jurisdictions and periods. The data model covers the specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence, achieving extensibility. Furthermore, we outline a relational implementation of this approach based on historical German firm and stock market data from 1920 to 1932.</description><identifier>ISSN: 1936-1955</identifier><identifier>EISSN: 1936-1963</identifier><identifier>DOI: 10.1145/3531533</identifier><language>eng</language><publisher>New York, NY: ACM</publisher><subject>Applied computing ; Database design and models ; Deduplication ; Digital libraries and archives ; Document management and text processing ; Economics ; Information systems</subject><ispartof>ACM journal of data and information quality, 2022-09, Vol.14 (3), p.1-22, Article 19</ispartof><rights>Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a136t-f522015d2be236044dfb4da50cc455f0963a274779945044770bd8502d3738a23</cites><orcidid>0000-0002-6620-5442 ; 0000-0001-9871-1908 ; 0000-0003-4287-3486 ; 0000-0003-4636-1154</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Gram, Dennis</creatorcontrib><creatorcontrib>Karapanagiotis, Pantelis</creatorcontrib><creatorcontrib>Liebald, Marius</creatorcontrib><creatorcontrib>Walz, Uwe</creatorcontrib><title>Design and Implementation of a Historical German Firm-level Financial Database</title><title>ACM journal of data and information quality</title><addtitle>ACM JDIQ</addtitle><description>Broad, long-term financial, and economic datasets are scarce resources, particularly in the European context. In this article, we present an approach for an extensible data model that is adaptable to future changes in technologies and sources. This model may constitute a basis for digitized and structured long-term historical datasets for different jurisdictions and periods. The data model covers the specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence, achieving extensibility. Furthermore, we outline a relational implementation of this approach based on historical German firm and stock market data from 1920 to 1932.</description><subject>Applied computing</subject><subject>Database design and models</subject><subject>Deduplication</subject><subject>Digital libraries and archives</subject><subject>Document management and text processing</subject><subject>Economics</subject><subject>Information systems</subject><issn>1936-1955</issn><issn>1936-1963</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9kEtLxDAUhYMoOI7i3lV2rqp53aZdyozzgEE3ui63eUikTYekCP57K_NY3QPfx-FyCLnn7IlzBc8SJAcpL8iM17IseF3Ky3MGuCY3OX8zVlZC8Rl5W7ocviLFaOm233eud3HEMQyRDp4i3YQ8DikY7OjapR4jXYXUF537cd0UI0YTJrbEEVvM7pZceeyyuzveOflcvX4sNsXufb1dvOwK5LIcCw9CMA5WtE7IkillfassAjNGAXg2_YxCK63rWsGEtWatrYAJK7WsUMg5eTz0mjTknJxv9in0mH4bzpr_GZrjDJP5cDDR9GfpBP8AZ-9Vbg</recordid><startdate>20220930</startdate><enddate>20220930</enddate><creator>Gram, Dennis</creator><creator>Karapanagiotis, Pantelis</creator><creator>Liebald, Marius</creator><creator>Walz, Uwe</creator><general>ACM</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-6620-5442</orcidid><orcidid>https://orcid.org/0000-0001-9871-1908</orcidid><orcidid>https://orcid.org/0000-0003-4287-3486</orcidid><orcidid>https://orcid.org/0000-0003-4636-1154</orcidid></search><sort><creationdate>20220930</creationdate><title>Design and Implementation of a Historical German Firm-level Financial Database</title><author>Gram, Dennis ; Karapanagiotis, Pantelis ; Liebald, Marius ; Walz, Uwe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a136t-f522015d2be236044dfb4da50cc455f0963a274779945044770bd8502d3738a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Applied computing</topic><topic>Database design and models</topic><topic>Deduplication</topic><topic>Digital libraries and archives</topic><topic>Document management and text processing</topic><topic>Economics</topic><topic>Information systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gram, Dennis</creatorcontrib><creatorcontrib>Karapanagiotis, Pantelis</creatorcontrib><creatorcontrib>Liebald, Marius</creatorcontrib><creatorcontrib>Walz, Uwe</creatorcontrib><collection>CrossRef</collection><jtitle>ACM journal of data and information quality</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gram, Dennis</au><au>Karapanagiotis, Pantelis</au><au>Liebald, Marius</au><au>Walz, Uwe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design and Implementation of a Historical German Firm-level Financial Database</atitle><jtitle>ACM journal of data and information quality</jtitle><stitle>ACM JDIQ</stitle><date>2022-09-30</date><risdate>2022</risdate><volume>14</volume><issue>3</issue><spage>1</spage><epage>22</epage><pages>1-22</pages><artnum>19</artnum><issn>1936-1955</issn><eissn>1936-1963</eissn><abstract>Broad, long-term financial, and economic datasets are scarce resources, particularly in the European context. In this article, we present an approach for an extensible data model that is adaptable to future changes in technologies and sources. This model may constitute a basis for digitized and structured long-term historical datasets for different jurisdictions and periods. The data model covers the specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence, achieving extensibility. Furthermore, we outline a relational implementation of this approach based on historical German firm and stock market data from 1920 to 1932.</abstract><cop>New York, NY</cop><pub>ACM</pub><doi>10.1145/3531533</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-6620-5442</orcidid><orcidid>https://orcid.org/0000-0001-9871-1908</orcidid><orcidid>https://orcid.org/0000-0003-4287-3486</orcidid><orcidid>https://orcid.org/0000-0003-4636-1154</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1936-1955 |
ispartof | ACM journal of data and information quality, 2022-09, Vol.14 (3), p.1-22, Article 19 |
issn | 1936-1955 1936-1963 |
language | eng |
recordid | cdi_crossref_primary_10_1145_3531533 |
source | Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list) |
subjects | Applied computing Database design and models Deduplication Digital libraries and archives Document management and text processing Economics Information systems |
title | Design and Implementation of a Historical German Firm-level Financial Database |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T20%3A25%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acm_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Design%20and%20Implementation%20of%20a%20Historical%20German%20Firm-level%20Financial%20Database&rft.jtitle=ACM%20journal%20of%20data%20and%20information%20quality&rft.au=Gram,%20Dennis&rft.date=2022-09-30&rft.volume=14&rft.issue=3&rft.spage=1&rft.epage=22&rft.pages=1-22&rft.artnum=19&rft.issn=1936-1955&rft.eissn=1936-1963&rft_id=info:doi/10.1145/3531533&rft_dat=%3Cacm_cross%3E3531533%3C/acm_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a136t-f522015d2be236044dfb4da50cc455f0963a274779945044770bd8502d3738a23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |