This report considers the potential for data management beyond the management of raw data to record, link, combine and publish information about other data, digital objects, actors and processes involved in the whole facilities science lifecycle – broadly covered by the term provenance of information. In particular, the report will consider: The data continuum involved in the lifecycle of facilities science, considering the stages undertaken in the lifecycle, the actors and computing systems typically involved at each stage, and the metadata required to capture the information at each step. Consider a specific but representative example of a scientific lifecycle within facilities science and discuss its consequences for practical data ...
Recording data with the help of photons and neutrons is limited to bigger institutes. Besides the li...
Due to data exploration complexity, provenance management is a key component in order to guarantee s...
Neutron science generates an exploding volume of scientific research data which needs to be managed ...
The aggressive update programme and continuous introduction of new generation of detec-tors and came...
In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation ...
The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a c...
This presentation will give an overview about the data life cycle in photon science and the resultin...
ExPaNDS WP2 has the objective of Enabling FAIR Data, providing guidelines, recommendation and practi...
eScience allows scientific research to be carried out in highly distributed environments. The comple...
Modern science is most often driven by data. Improvements in state-of-the-art technologies and metho...
The increasingly highprofile of issues surrounding preservation and access of research data makes it...
The volume and diversity of metadata in an experiment of the size and scope of ATLAS is considerable...
The wide variety of scientific user communities work with data since many years and thus have alread...
FAIR (Findable, Accessible, Interoperable, Reusable) data management practices are not necessarily w...
ExPaNDS deliverable D2.3: Final data policy framework for photon and neutron RIs, considers how data...
Recording data with the help of photons and neutrons is limited to bigger institutes. Besides the li...
Due to data exploration complexity, provenance management is a key component in order to guarantee s...
Neutron science generates an exploding volume of scientific research data which needs to be managed ...
The aggressive update programme and continuous introduction of new generation of detec-tors and came...
In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation ...
The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a c...
This presentation will give an overview about the data life cycle in photon science and the resultin...
ExPaNDS WP2 has the objective of Enabling FAIR Data, providing guidelines, recommendation and practi...
eScience allows scientific research to be carried out in highly distributed environments. The comple...
Modern science is most often driven by data. Improvements in state-of-the-art technologies and metho...
The increasingly highprofile of issues surrounding preservation and access of research data makes it...
The volume and diversity of metadata in an experiment of the size and scope of ATLAS is considerable...
The wide variety of scientific user communities work with data since many years and thus have alread...
FAIR (Findable, Accessible, Interoperable, Reusable) data management practices are not necessarily w...
ExPaNDS deliverable D2.3: Final data policy framework for photon and neutron RIs, considers how data...
Recording data with the help of photons and neutrons is limited to bigger institutes. Besides the li...
Due to data exploration complexity, provenance management is a key component in order to guarantee s...
Neutron science generates an exploding volume of scientific research data which needs to be managed ...