---
_id: '61237'
abstract:
- lang: ger
text: In diesem Beitrag wird zunächst die historische Entstehung von Open Science
kurz skizziert und definiert, was unter diesem Begriff zu verstehen ist. Daran
anschließend werden die Open-Science-Praktiken Open Data, Open Access, Open Source,
Open Methodology und Open Peer Review dargestellt und diskutiert, welche Forschungserkenntnisse
zu Open Science vorhanden sind. Im Schluss werden Forschungsdesiderate aufgegriffen
und die Implikationen von Open Science für die Wissenschaft erläutert.
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
- first_name: Ronny
full_name: Röwert, Ronny
last_name: Röwert
citation:
ama: 'Steinhardt I, Röwert R. Open Science. In: Pasternack P, Reinmann G, Schneijderberg
C, eds. Hochschulforschung. Nomos; 2025:487-496. doi:10.5771/9783748943334-487'
apa: Steinhardt, I., & Röwert, R. (2025). Open Science. In P. Pasternack, G.
Reinmann, & C. Schneijderberg (Eds.), Hochschulforschung (pp. 487–496).
Nomos. https://doi.org/10.5771/9783748943334-487
bibtex: '@inbook{Steinhardt_Röwert_2025, place={Baden-Baden}, title={Open Science},
DOI={10.5771/9783748943334-487},
booktitle={Hochschulforschung}, publisher={Nomos}, author={Steinhardt, Isabel
and Röwert, Ronny}, editor={Pasternack, Peer and Reinmann, Gabi and Schneijderberg,
Christian }, year={2025}, pages={487–496} }'
chicago: 'Steinhardt, Isabel, and Ronny Röwert. “Open Science.” In Hochschulforschung,
edited by Peer Pasternack, Gabi Reinmann, and Christian Schneijderberg, 487–96.
Baden-Baden: Nomos, 2025. https://doi.org/10.5771/9783748943334-487.'
ieee: 'I. Steinhardt and R. Röwert, “Open Science,” in Hochschulforschung,
P. Pasternack, G. Reinmann, and C. Schneijderberg, Eds. Baden-Baden: Nomos, 2025,
pp. 487–496.'
mla: Steinhardt, Isabel, and Ronny Röwert. “Open Science.” Hochschulforschung,
edited by Peer Pasternack et al., Nomos, 2025, pp. 487–96, doi:10.5771/9783748943334-487.
short: 'I. Steinhardt, R. Röwert, in: P. Pasternack, G. Reinmann, C. Schneijderberg
(Eds.), Hochschulforschung, Nomos, Baden-Baden, 2025, pp. 487–496.'
date_created: 2025-09-12T06:35:25Z
date_updated: 2025-12-17T09:05:53Z
ddc:
- '300'
department:
- _id: '121'
doi: 10.5771/9783748943334-487
editor:
- first_name: Peer
full_name: Pasternack, Peer
last_name: Pasternack
- first_name: Gabi
full_name: Reinmann, Gabi
last_name: Reinmann
- first_name: 'Christian '
full_name: 'Schneijderberg, Christian '
last_name: Schneijderberg
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2025-09-12T06:37:04Z
date_updated: 2025-09-12T06:37:04Z
file_id: '61238'
file_name: 2025 Steinhardt & Röwert Open Science.pdf
file_size: 268261
relation: main_file
success: 1
file_date_updated: 2025-09-12T06:37:04Z
has_accepted_license: '1'
keyword:
- Open Data
- Open Access
- Open Source
- Open Methodology
- Open Peer Review
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.nomos-elibrary.de/de/document/view/detail/uuid/cc4f88b8-f9a8-32ef-a706-a9134f224090
oa: '1'
page: 487-496
place: Baden-Baden
publication: Hochschulforschung
publication_identifier:
isbn:
- '9783748943334'
publication_status: published
publisher: Nomos
quality_controlled: '1'
status: public
title: Open Science
type: book_chapter
user_id: '90339'
year: '2025'
...
---
_id: '55850'
abstract:
- lang: eng
text: This release covers the state of this prototype app at the end of the funding
phase for the Paderborn University part of the Beethoven in the House project.
It uses https://api.domestic-beethoven.eu/ld/BithCollection.jsonld as starting
point for traversing the LOD graph, and reads data from the project pod available
from https://bith.solidcommunity.net/public/bith.ttl (which has no content at
the time of the release).
author:
- first_name: Johannes
full_name: Kepper, Johannes
last_name: Kepper
citation:
ama: 'Kepper J. DomesticBeethoven/Bith-Annotator: Release 2023-04. Zenodo;
2023. doi:10.5281/ZENODO.7877741'
apa: 'Kepper, J. (2023). DomesticBeethoven/bith-annotator: Release 2023-04.
Zenodo. https://doi.org/10.5281/ZENODO.7877741'
bibtex: '@book{Kepper_2023, title={DomesticBeethoven/bith-annotator: Release 2023-04},
DOI={10.5281/ZENODO.7877741},
publisher={Zenodo}, author={Kepper, Johannes}, year={2023} }'
chicago: 'Kepper, Johannes. DomesticBeethoven/Bith-Annotator: Release 2023-04.
Zenodo, 2023. https://doi.org/10.5281/ZENODO.7877741.'
ieee: 'J. Kepper, DomesticBeethoven/bith-annotator: Release 2023-04. Zenodo,
2023.'
mla: 'Kepper, Johannes. DomesticBeethoven/Bith-Annotator: Release 2023-04.
Zenodo, 2023, doi:10.5281/ZENODO.7877741.'
short: 'J. Kepper, DomesticBeethoven/Bith-Annotator: Release 2023-04, Zenodo, 2023.'
date_created: 2024-08-28T11:48:31Z
date_updated: 2024-08-28T13:59:52Z
department:
- _id: '874'
doi: 10.5281/ZENODO.7877741
keyword:
- MEI
- Edirom
- Music Encoding Initiative
- Linked Open Data
- MELD
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://zenodo.org/record/7877741
oa: '1'
publication_status: published
publisher: Zenodo
status: public
title: 'DomesticBeethoven/bith-annotator: Release 2023-04'
type: misc
user_id: '1684'
year: '2023'
...
---
_id: '2856'
abstract:
- lang: eng
text: Taxi ridesharing1 (TRS) is an advanced form of urban transportation that matches
separate ride requests with similar spatio-temporal characteristics to a jointly
used taxi. As collaborative consumption, TRS saves customers money, enables taxi
companies to economize use of their resources, and lowers greenhouse gas emissions.
We develop a one-to-one TRS approach that matches rides with similar start and
end points. We evaluate our approach by analyzing an open dataset of > 5 million
taxi trajectories in New York City. Our empirical analysis reveals that the proposed
approach matches up to 48.34% of all taxi rides, saving 2,892,036 km of travel
distance, 231,362.89 l of gas, and 532,134.64 kg of CO2 emissions per week. Compared
to many-to-many TRS approaches, our approach is competitive, simpler to implement
and operate, and poses less rigid assumptions on data availability and customer
acceptance.
article_type: original
author:
- first_name: Benjamin
full_name: Barann, Benjamin
last_name: Barann
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: Barann B, Beverungen D, Müller O. An open-data approach for quantifying the
potential of taxi ridesharing. Decision Support Systems. 2017;99(July 2017):86-95.
doi:10.1016/j.dss.2017.05.008
apa: Barann, B., Beverungen, D., & Müller, O. (2017). An open-data approach
for quantifying the potential of taxi ridesharing. Decision Support Systems,
99(July 2017), 86–95. https://doi.org/10.1016/j.dss.2017.05.008
bibtex: '@article{Barann_Beverungen_Müller_2017, title={An open-data approach for
quantifying the potential of taxi ridesharing}, volume={99}, DOI={10.1016/j.dss.2017.05.008},
number={July 2017}, journal={Decision Support Systems}, publisher={Elsevier},
author={Barann, Benjamin and Beverungen, Daniel and Müller, Oliver}, year={2017},
pages={86–95} }'
chicago: 'Barann, Benjamin, Daniel Beverungen, and Oliver Müller. “An Open-Data
Approach for Quantifying the Potential of Taxi Ridesharing.” Decision Support
Systems 99, no. July 2017 (2017): 86–95. https://doi.org/10.1016/j.dss.2017.05.008.'
ieee: 'B. Barann, D. Beverungen, and O. Müller, “An open-data approach for quantifying
the potential of taxi ridesharing,” Decision Support Systems, vol. 99,
no. July 2017, pp. 86–95, 2017, doi: 10.1016/j.dss.2017.05.008.'
mla: Barann, Benjamin, et al. “An Open-Data Approach for Quantifying the Potential
of Taxi Ridesharing.” Decision Support Systems, vol. 99, no. July 2017,
Elsevier, 2017, pp. 86–95, doi:10.1016/j.dss.2017.05.008.
short: B. Barann, D. Beverungen, O. Müller, Decision Support Systems 99 (2017) 86–95.
date_created: 2018-05-24T08:48:58Z
date_updated: 2024-04-18T12:59:57Z
department:
- _id: '526'
doi: 10.1016/j.dss.2017.05.008
intvolume: ' 99'
issue: July 2017
keyword:
- Taxi ridesharing Collaborative consumption Transportation Open data Sustainability
Shared mobility
language:
- iso: eng
page: 86-95
publication: Decision Support Systems
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: An open-data approach for quantifying the potential of taxi ridesharing
type: journal_article
user_id: '59677'
volume: 99
year: '2017'
...
---
_id: '1137'
abstract:
- lang: eng
text: In this paper, we present a system which makes scientific data available following
the linked open data principle using standards like RDF and URI as well as the
popular D2R server (D2R) and the customizable D2RQ mapping language. Our scientific
data sets include acronym data and expansions, as well as researcher data such
as author name, affiliation, coauthors, and abstracts. The system can easily be
extended to other records. Regarding this, a domain adaptation to patent mining
seems possible. For this reason, obvious similarities and differences are presented
here. The data set is collected from several different providers like publishing
houses and digital libraries, which follow different standards in data format
and structure. Most of them are not supporting semantic web technologies, but
the legacy HTML standard. The integration of these large amounts of scientific
data into the Semantic Web is challenging and it needs flexible data structures
to access this information and interlink them. Based on these data sets, we will
be able to derive a general technology trend as well as the individual research
domain for each researcher. The goal of our Linked Open Data System for scientific
data is to provide access to this data set for other researchers using the Web
of Linked Data. Furthermore we implemented an application for visualization, which
allows usto explorethe relations between single data sets.
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Jangwon
full_name: Gim, Jangwon
last_name: Gim
- first_name: Do-Heon
full_name: Jeong, Do-Heon
last_name: Jeong
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Hanmin
full_name: Jung, Hanmin
last_name: Jung
citation:
ama: 'Bäumer FS, Gim J, Jeong D-H, Geierhos M, Jung H. Linked Open Data System for
Scientific Data Sets. In: Jung H, Mandl T, Womsen-Hacker C, Xu S, eds. Proceedings
of the First International Workshop on Patent Mining and Its Applications (IPaMin
2014) Co-Located with Konvens 2014. Vol 1292. CEUR Workshop Proceedings. CEUR-WS.org;
2014.'
apa: 'Bäumer, F. S., Gim, J., Jeong, D.-H., Geierhos, M., & Jung, H. (2014).
Linked Open Data System for Scientific Data Sets. In H. Jung, T. Mandl, C. Womsen-Hacker,
& S. Xu (Eds.), Proceedings of the First International Workshop on Patent
Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 (Vol.
1292). Hildesheim, Germany: CEUR-WS.org.'
bibtex: '@inproceedings{Bäumer_Gim_Jeong_Geierhos_Jung_2014, series={CEUR Workshop
Proceedings}, title={Linked Open Data System for Scientific Data Sets}, volume={1292},
booktitle={Proceedings of the First International Workshop on Patent Mining and
Its Applications (IPaMin 2014) co-located with Konvens 2014}, publisher={CEUR-WS.org},
author={Bäumer, Frederik Simon and Gim, Jangwon and Jeong, Do-Heon and Geierhos,
Michaela and Jung, Hanmin}, editor={Jung, Hanmin and Mandl, Thomas and Womsen-Hacker,
Christa and Xu, ShuoEditors}, year={2014}, collection={CEUR Workshop Proceedings}
}'
chicago: Bäumer, Frederik Simon, Jangwon Gim, Do-Heon Jeong, Michaela Geierhos,
and Hanmin Jung. “Linked Open Data System for Scientific Data Sets.” In Proceedings
of the First International Workshop on Patent Mining and Its Applications (IPaMin
2014) Co-Located with Konvens 2014, edited by Hanmin Jung, Thomas Mandl, Christa
Womsen-Hacker, and Shuo Xu, Vol. 1292. CEUR Workshop Proceedings. CEUR-WS.org,
2014.
ieee: F. S. Bäumer, J. Gim, D.-H. Jeong, M. Geierhos, and H. Jung, “Linked Open
Data System for Scientific Data Sets,” in Proceedings of the First International
Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens
2014, Hildesheim, Germany, 2014, vol. 1292.
mla: Bäumer, Frederik Simon, et al. “Linked Open Data System for Scientific Data
Sets.” Proceedings of the First International Workshop on Patent Mining and
Its Applications (IPaMin 2014) Co-Located with Konvens 2014, edited by Hanmin
Jung et al., vol. 1292, CEUR-WS.org, 2014.
short: 'F.S. Bäumer, J. Gim, D.-H. Jeong, M. Geierhos, H. Jung, in: H. Jung, T.
Mandl, C. Womsen-Hacker, S. Xu (Eds.), Proceedings of the First International
Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens
2014, CEUR-WS.org, 2014.'
conference:
end_date: 2014-10-07
location: Hildesheim, Germany
name: First International Workshop on Patent Mining and Its Applications (IPaMin
2014)
start_date: 2014-10-06
date_created: 2018-01-30T16:03:51Z
date_updated: 2022-01-06T06:51:00Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Hanmin
full_name: Jung, Hanmin
last_name: Jung
- first_name: Thomas
full_name: Mandl, Thomas
last_name: Mandl
- first_name: Christa
full_name: Womsen-Hacker, Christa
last_name: Womsen-Hacker
- first_name: Shuo
full_name: Xu, Shuo
last_name: Xu
intvolume: ' 1292'
keyword:
- Linked Open Data
- Researcher Data
- Acronym Data
- D2R
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ceur-ws.org/Vol-1292/ipamin2014_paper2.pdf
oa: '1'
publication: Proceedings of the First International Workshop on Patent Mining and
Its Applications (IPaMin 2014) co-located with Konvens 2014
publication_identifier:
issn:
- '16130073'
publication_status: published
publisher: CEUR-WS.org
quality_controlled: '1'
series_title: CEUR Workshop Proceedings
status: public
title: Linked Open Data System for Scientific Data Sets
type: conference
user_id: '42496'
volume: 1292
year: '2014'
...