Stefan Pröll

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Reproducibility and reusability of research results is an important concern in scientific communication and science policy. A foundational element of reproducibility and reusability is the open and persistently available presentation of research data. However, many common approaches for primary data publication in use today do not achieve sufficient(More)
Uniquely and precisely identifying and citing arbitrary subsets of data is essential in many settings, e.g. to facilitate experiment validation and data re-use in meta-studies. Current approaches relying on pointers to entire data collections or on explicit copies of data do not scale. We propose a novel approach relying on persistent, timestamped, adapted(More)
Research data is changing over time as new records are added, errors are corrected and obsolete records are deleted from a data set. Scholars rarely use an entire data set or stream data as it is, but rather select specific subsets tailored to their research questions. In order to keep such experiments reproducible and to share and cite the particular data(More)
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(More)
eScience offers huge potential of speeding up scientific discovery, being able to flexibly re-use, combine and build on top of existing tools and results. Yet, to reap the benefits we must be able to actually perform these activities, i.e. having the data, processing components etc. available for redeployment and being able to trust them. Thus,(More)
In the domain of eScience, investigations are increasingly collaborative. Most scientific and engineering domains benefit from building on top of the outputs of other research: By sharing information to reason over and data to incorporate in the modelling task at hand. This raises the need to provide means for preserving and sharing entire eScience(More)