O2A - Data Flow Framework from Sensor Observations to Archives

The Alfred Wegener Institute coordinates German polar research and is one of the most productive polar research institutions worldwide with scientists working in both Polar Regions – a task that can only be successful with the help of excellent infrastructure and logistics. Conducting research in th...

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Main Authors: Gerchow, Peter, Koppe, Roland, Macario, Ana, Haas, Antonie, Schäfer-Neth, Christian, Pfeiffenberger, Hans, Schäfer, Angela
Format: Conference Object
Language:unknown
Published: DI4R 2017 conference 2017
Subjects:
Online Access:https://epic.awi.de/id/eprint/46250/
https://epic.awi.de/id/eprint/46250/3/Abstract_DI4R2017.pdf
https://indico.egi.eu/indico/event/3455/session/1/contribution/114/material/slides/1.pdf
https://hdl.handle.net/10013/epic.7fd6330d-5841-490a-93af-aceb44ae3f41
id ftawi:oai:epic.awi.de:46250
record_format openpolar
spelling ftawi:oai:epic.awi.de:46250 2024-09-15T17:36:40+00:00 O2A - Data Flow Framework from Sensor Observations to Archives Gerchow, Peter Koppe, Roland Macario, Ana Haas, Antonie Schäfer-Neth, Christian Pfeiffenberger, Hans Schäfer, Angela 2017-11-30 application/pdf https://epic.awi.de/id/eprint/46250/ https://epic.awi.de/id/eprint/46250/3/Abstract_DI4R2017.pdf https://indico.egi.eu/indico/event/3455/session/1/contribution/114/material/slides/1.pdf https://hdl.handle.net/10013/epic.7fd6330d-5841-490a-93af-aceb44ae3f41 unknown DI4R 2017 conference https://epic.awi.de/id/eprint/46250/3/Abstract_DI4R2017.pdf Gerchow, P. , Koppe, R. orcid:0000-0002-2826-3932 , Macario, A. orcid:0000-0003-3747-793X , Haas, A. orcid:0000-0002-3771-4125 , Schäfer-Neth, C. orcid:0000-0002-6995-8706 , Pfeiffenberger, H. orcid:0000-0002-4081-9956 and Schäfer, A. orcid:0000-0003-1784-2979 (2017) O2A - Data Flow Framework from Sensor Observations to Archives , Digital Infrastructures for Research 2017, Brussels, 30 November 2017 - 1 December 2017 . hdl:10013/epic.7fd6330d-5841-490a-93af-aceb44ae3f41 EPIC3Digital Infrastructures for Research 2017, Brussels, 2017-11-30-2017-12-01Brusseles, DI4R 2017 conference Conference notRev 2017 ftawi 2024-06-24T04:18:50Z The Alfred Wegener Institute coordinates German polar research and is one of the most productive polar research institutions worldwide with scientists working in both Polar Regions – a task that can only be successful with the help of excellent infrastructure and logistics. Conducting research in the Arctic and Antarctic requires research stations staffed throughout the year as the basis for expeditions and data collection. It needs research vessels, aircrafts and long-term observatories for large-scale measurements as well as sophisticated technology. In this sense, the AWI also provides this infrastructure and competence to national and international partners. To meet the challenge the AWI has been progressively developing and sustaining an e-Infrastructure for coherent discovery, visualization, dissemination and archival of scientific information and data. Most of the data originates from research activities being carried out in a wide range of sea-, airand land-based operating research platforms. Archival and publishing in PANGAEA repository along with DOI assignment to individual datasets is a pursued end-of-line step. Within AWI, a workflow for data acquisition from vessel-mounted devices along with ingestion procedures for the raw data into the institutional archives has been well established. However, the increasing number of ocean-based stations and respective sensors along with heterogeneous project-driven requirements towards satellite communication, sensor monitoring, quality control and validation, processing algorithms, visualization and dissemination has recently lead us to build a more generic and cost-effective framework, hereafter named O2A (observations to archives). The main strengths of our framework (https://www.awi.de/en/data-flow) are the seamless flow of sensor observation to archives and the fact that it complies with internationally used OGC standards and assuring interoperability in international context (e.g. SOS/SWE, WMS, WFS, etc.). O2A comprises several extensible and exchangeable ... Conference Object Alfred Wegener Institute Antarc* Antarctic Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The Alfred Wegener Institute coordinates German polar research and is one of the most productive polar research institutions worldwide with scientists working in both Polar Regions – a task that can only be successful with the help of excellent infrastructure and logistics. Conducting research in the Arctic and Antarctic requires research stations staffed throughout the year as the basis for expeditions and data collection. It needs research vessels, aircrafts and long-term observatories for large-scale measurements as well as sophisticated technology. In this sense, the AWI also provides this infrastructure and competence to national and international partners. To meet the challenge the AWI has been progressively developing and sustaining an e-Infrastructure for coherent discovery, visualization, dissemination and archival of scientific information and data. Most of the data originates from research activities being carried out in a wide range of sea-, airand land-based operating research platforms. Archival and publishing in PANGAEA repository along with DOI assignment to individual datasets is a pursued end-of-line step. Within AWI, a workflow for data acquisition from vessel-mounted devices along with ingestion procedures for the raw data into the institutional archives has been well established. However, the increasing number of ocean-based stations and respective sensors along with heterogeneous project-driven requirements towards satellite communication, sensor monitoring, quality control and validation, processing algorithms, visualization and dissemination has recently lead us to build a more generic and cost-effective framework, hereafter named O2A (observations to archives). The main strengths of our framework (https://www.awi.de/en/data-flow) are the seamless flow of sensor observation to archives and the fact that it complies with internationally used OGC standards and assuring interoperability in international context (e.g. SOS/SWE, WMS, WFS, etc.). O2A comprises several extensible and exchangeable ...
format Conference Object
author Gerchow, Peter
Koppe, Roland
Macario, Ana
Haas, Antonie
Schäfer-Neth, Christian
Pfeiffenberger, Hans
Schäfer, Angela
spellingShingle Gerchow, Peter
Koppe, Roland
Macario, Ana
Haas, Antonie
Schäfer-Neth, Christian
Pfeiffenberger, Hans
Schäfer, Angela
O2A - Data Flow Framework from Sensor Observations to Archives
author_facet Gerchow, Peter
Koppe, Roland
Macario, Ana
Haas, Antonie
Schäfer-Neth, Christian
Pfeiffenberger, Hans
Schäfer, Angela
author_sort Gerchow, Peter
title O2A - Data Flow Framework from Sensor Observations to Archives
title_short O2A - Data Flow Framework from Sensor Observations to Archives
title_full O2A - Data Flow Framework from Sensor Observations to Archives
title_fullStr O2A - Data Flow Framework from Sensor Observations to Archives
title_full_unstemmed O2A - Data Flow Framework from Sensor Observations to Archives
title_sort o2a - data flow framework from sensor observations to archives
publisher DI4R 2017 conference
publishDate 2017
url https://epic.awi.de/id/eprint/46250/
https://epic.awi.de/id/eprint/46250/3/Abstract_DI4R2017.pdf
https://indico.egi.eu/indico/event/3455/session/1/contribution/114/material/slides/1.pdf
https://hdl.handle.net/10013/epic.7fd6330d-5841-490a-93af-aceb44ae3f41
genre Alfred Wegener Institute
Antarc*
Antarctic
genre_facet Alfred Wegener Institute
Antarc*
Antarctic
op_source EPIC3Digital Infrastructures for Research 2017, Brussels, 2017-11-30-2017-12-01Brusseles, DI4R 2017 conference
op_relation https://epic.awi.de/id/eprint/46250/3/Abstract_DI4R2017.pdf
Gerchow, P. , Koppe, R. orcid:0000-0002-2826-3932 , Macario, A. orcid:0000-0003-3747-793X , Haas, A. orcid:0000-0002-3771-4125 , Schäfer-Neth, C. orcid:0000-0002-6995-8706 , Pfeiffenberger, H. orcid:0000-0002-4081-9956 and Schäfer, A. orcid:0000-0003-1784-2979 (2017) O2A - Data Flow Framework from Sensor Observations to Archives , Digital Infrastructures for Research 2017, Brussels, 30 November 2017 - 1 December 2017 . hdl:10013/epic.7fd6330d-5841-490a-93af-aceb44ae3f41
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