Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon
For decades, the Earth Science (ES) community has launched missions to monitor vital phenomena of our planet and, through measurements, obtain data for improving their models. Indeed the proper characterisation of phenomena, such as desertification, Arctic sea ice melting, volcanic activities or ear...
Main Authors: | , , , , |
---|---|
Format: | Text |
Language: | English |
Subjects: | |
Online Access: | https://phaidra.univie.ac.at/o:378046 |
id |
ftunivwiendc:oai:phaidra.univie.ac.at:o:378046 |
---|---|
record_format |
openpolar |
spelling |
ftunivwiendc:oai:phaidra.univie.ac.at:o:378046 2023-05-15T15:10:11+02:00 Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon Caruso, Giuseppa Briguglio, Luigi Matthews, Brian Tona, Calogera Albani, Mirko application/pdf https://phaidra.univie.ac.at/o:378046 eng eng isPartOf:https://phaidra.univie.ac.at/o:168770[Open Access Collection] isPartOf:https://phaidra.univie.ac.at/o:378098[iPRES 2013 - Proceedings of the 10th International Conference on Preservation of Digital Objects: iPRES 2013 - Lisbon] isPartOf:https://phaidra.univie.ac.at/o:424738[Openaire v3.0 collection] hdl:11353/10.378046 https://phaidra.univie.ac.at/o:378046 CC BY-SA 2.0 AT http://creativecommons.org/licenses/by-sa/2.0/at/ CC-BY-SA Value of Data/Information Value Model Sustainability Long Term Data Preservation Earth Science (ES) iPRES Lisbon Conferences -- iPRES Conference (001000) -- Conference 2013 (001008) Text ftunivwiendc 2022-05-23T14:09:44Z For decades, the Earth Science (ES) community has launched missions to monitor vital phenomena of our planet and, through measurements, obtain data for improving their models. Indeed the proper characterisation of phenomena, such as desertification, Arctic sea ice melting, volcanic activities or earthquakes effects, requires the analysis of data acquired in a long period and the validation of correctness of scientific models. This means that digital data, especially in the ES domain, represents an important asset to be preserved over time. Despite each single ES mission’s cost being quantified and supported by well documented evidence, ES organisations are not able to assess the value of data generated by those missions over time. This paper describes the rationale for and an approach to modelling the value of data/information to be preserved over long term in digital archive. This is the result of experience in the SCIDIP-ES project [16] which has considered the: i) definition of models for describing the value of digital data and related information; ii) characterisation of data/information value model through core set of key parameters and iii) identification of long term digital preservation activities that may potentially impact on key parameters and consequently on the value of digital assets. This model is being assessed in ES scenarios with data curators and archive managers. Text Arctic Sea ice University of Vienna: Phaidra Arctic |
institution |
Open Polar |
collection |
University of Vienna: Phaidra |
op_collection_id |
ftunivwiendc |
language |
English |
topic |
Value of Data/Information Value Model Sustainability Long Term Data Preservation Earth Science (ES) iPRES Lisbon Conferences -- iPRES Conference (001000) -- Conference 2013 (001008) |
spellingShingle |
Value of Data/Information Value Model Sustainability Long Term Data Preservation Earth Science (ES) iPRES Lisbon Conferences -- iPRES Conference (001000) -- Conference 2013 (001008) Caruso, Giuseppa Briguglio, Luigi Matthews, Brian Tona, Calogera Albani, Mirko Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon |
topic_facet |
Value of Data/Information Value Model Sustainability Long Term Data Preservation Earth Science (ES) iPRES Lisbon Conferences -- iPRES Conference (001000) -- Conference 2013 (001008) |
description |
For decades, the Earth Science (ES) community has launched missions to monitor vital phenomena of our planet and, through measurements, obtain data for improving their models. Indeed the proper characterisation of phenomena, such as desertification, Arctic sea ice melting, volcanic activities or earthquakes effects, requires the analysis of data acquired in a long period and the validation of correctness of scientific models. This means that digital data, especially in the ES domain, represents an important asset to be preserved over time. Despite each single ES mission’s cost being quantified and supported by well documented evidence, ES organisations are not able to assess the value of data generated by those missions over time. This paper describes the rationale for and an approach to modelling the value of data/information to be preserved over long term in digital archive. This is the result of experience in the SCIDIP-ES project [16] which has considered the: i) definition of models for describing the value of digital data and related information; ii) characterisation of data/information value model through core set of key parameters and iii) identification of long term digital preservation activities that may potentially impact on key parameters and consequently on the value of digital assets. This model is being assessed in ES scenarios with data curators and archive managers. |
format |
Text |
author |
Caruso, Giuseppa Briguglio, Luigi Matthews, Brian Tona, Calogera Albani, Mirko |
author_facet |
Caruso, Giuseppa Briguglio, Luigi Matthews, Brian Tona, Calogera Albani, Mirko |
author_sort |
Caruso, Giuseppa |
title |
Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon |
title_short |
Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon |
title_full |
Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon |
title_fullStr |
Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon |
title_full_unstemmed |
Modelling Data Value in Digital Preservation: Paper - iPres 2013 - Lisbon |
title_sort |
modelling data value in digital preservation: paper - ipres 2013 - lisbon |
url |
https://phaidra.univie.ac.at/o:378046 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
isPartOf:https://phaidra.univie.ac.at/o:168770[Open Access Collection] isPartOf:https://phaidra.univie.ac.at/o:378098[iPRES 2013 - Proceedings of the 10th International Conference on Preservation of Digital Objects: iPRES 2013 - Lisbon] isPartOf:https://phaidra.univie.ac.at/o:424738[Openaire v3.0 collection] hdl:11353/10.378046 https://phaidra.univie.ac.at/o:378046 |
op_rights |
CC BY-SA 2.0 AT http://creativecommons.org/licenses/by-sa/2.0/at/ |
op_rightsnorm |
CC-BY-SA |
_version_ |
1766341227137990656 |