A Scalable Framework for Dynamic Data Citation of Arbitrary Structured Data

Stefan Pröll, Andreas Rauber

Abstract

Sharing research data is becoming increasingly important as it enables peers to validate and reproduce data driven experiments. Also exchanging data allows scientists to reuse data in different contexts and gather new knowledge from available sources. But with increasing volume of data, researchers need to reference exact versions of datasets. Until now access to research data often based on single archives of data files where versioning and subsetting support is limited. In this paper we introduce a mechanism that allows researchers to create versioned subsets of research data which can be cited and shared in a lightweight manner. We demonstrate a prototype that supports researchers in creating subsets based on filtering and sorting source data. These subsets can be cited for later reference and reuse. The system produces evidence that allows users to verify the correctness and completeness of a subset based on cryptographic hashing. We describe a replication scenario for enabling scalable data citation in dynamic contexts.

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Paper Citation


in Harvard Style

Pröll S. and Rauber A. (2014). A Scalable Framework for Dynamic Data Citation of Arbitrary Structured Data . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 223-230. DOI: 10.5220/0004991802230230


in Bibtex Style

@conference{data14,
author={Stefan Pröll and Andreas Rauber},
title={A Scalable Framework for Dynamic Data Citation of Arbitrary Structured Data},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={223-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004991802230230},
isbn={978-989-758-035-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - A Scalable Framework for Dynamic Data Citation of Arbitrary Structured Data
SN - 978-989-758-035-2
AU - Pröll S.
AU - Rauber A.
PY - 2014
SP - 223
EP - 230
DO - 10.5220/0004991802230230