Digital Data Preservation for Scholarly Publications in Astronomy

Choudhury, Sayeed; DiLauro, Tim; Szalay, A. S.; Vishniac, Ethan T.; Hanisch, R. J.; Steffen, Julie; Milkey, R. W.; Ehling, Teresa; Plante, Raymond

doi:10.2218/ijdc.v2i2.26

Cited by 9 publications

(8 citation statements)

References 7 publications

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“…In the VL, publications and their associated data software and scientific workflows are interactive and assured of long-term preservation and curation. Providing wider access to research results from electronic publications has both expedited and improved the effectiveness of follow-on research in many scholarly disciplines (Choudhury, 2008).…”

Section: Resultsmentioning

confidence: 99%

“…The VL allows users to capture and redistribute the outputs from neuroscience publications with particular emphasis on capturing the data and software outputs, creating scientific workflows and providing longterm interactive access to the data and software described in publications (Austin et al, 2011). Wider access to research results from electronic publications has both expedited and improved the effectiveness of follow-on research in many scholarly disciplines (Choudhury, 2008). In the VL, users upload their own data and software applications and create scientific workflows which they can now link to their publications to be assured of long-term preservation and curation.…”

Section: Introductionmentioning

confidence: 99%

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A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

et al. 2015

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Abstract:The CARMEN Virtual Laboratory (VL) is a cloud-based platform which allows neuroscientists to store, share, develop, execute, reproduce and publicise their work. This paper describes new functionality in the CARMEN VL: an interactive publications repository. This new facility allows users to link data and software to publications. This enables other users to examine data and software associated with the publication and execute the associated software within the VL using the same data as the authors used in the publication. The cloud-based architecture and SaaS (Software as a Service) framework allows vast data sets to be uploaded and analysed using software services. Thus, this new interactive publications facility allows others to build on research results through reuse. This aligns with recent developments by funding agencies, institutions, and publishers with a move to open access research. Open access provides reproducibility and verification of research resources and results. Publications and their associated data and software will be assured of long-term preservation and curation in the repository. Further, analysing research data and the evaluations described in publications frequently requires a number of execution stages many of which are iterative. The VL provides a scientific workflow environment to combine software services into a processing tree. These workflows can also be associated with publications and executed by users. The VL also provides a secure environment where users can decide the access rights for each resource to ensure copyright and privacy restrictions are met.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

et al. 2015

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“…The NVO was envisioned as a semantic web of ontologically-linked knowledge encompassing the full research lifecycle of archived raw and derived astronomical data, computation and software, as well as project proposals and publications (Accomazzi 2011;Hanisch et al 2007;Brunner et al 2001). Furthermore, the NVO was expected to collaborate with academic research libraries for long-term curation (Choudhury et al 2008). VO technology and standards are now actively used throughout the international astronomical community, representing an opportunity for linking data in the Long Tail to corresponding literature and broadly facilitating discoverability.…”

Section: Towards Open Data and Open Sciencementioning

confidence: 99%

Astrolabe: Curating, Linking, and Computing Astronomy’s Dark Data

Heidorn¹,

Stahlman²,

Steffen³

2018

ApJS

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Where appropriate repositories are not available to support all relevant astronomical data products, data can fall into darkness: unseen and unavailable for future reference and re-use. Some data in this category are legacy or old data, but newer datasets are also often uncurated and could remain dark. This paper provides a description of the design motivation and development of Astrolabe, a cyberinfrastructure project that addresses a set of community recommendations for locating and ensuring the long-term curation of dark or otherwise at-risk data and integrated computing. This paper also describes the outcomes of the series of community workshops that informed creation of Astrolabe. According to participants in these workshops, much astronomical dark data currently exist that are not curated elsewhere, as well as software that can only be executed by a few individuals and therefore becomes unusable because of changes in computing platforms. Astronomical research questions and challenges would be better addressed with integrated data and computational resources that fall outside the scope of existing observatory and space mission projects. As a solution, the design of the Astrolabe system is aimed at developing new resources for management of astronomical data. The project is based in CyVerse cyberinfrastructure technology and is a collaboration between the University of Arizona and the American Astronomical Society. Overall the project aims to support open access to research data by leveraging existing cyberinfrastructure resources and promoting scientific discovery by making potentially-useful data in a computable format broadly available to the astronomical community.

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“…A team at the Johns Hopkins University is collaborating with the American Astronomical Society to capture data sets as part of the publication workflow 52. In the newly devised publication workflows, OAI‐ORE Aggregations are used to glue an article and its associated data sets together, and Resource Maps that describe these Aggregations are the tokens that move around among author, publisher, and data set repository as the publication process proceeds 53.…”

Section: Deployment Experimentation and Implementationmentioning

confidence: 99%

A Web‐based resource model for scholarship 2.0: object reuse & exchange

Lagoze

Sompel

Nelson

et al. 2012

Concurrency and Computation

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Digital scholarship offers the opportunity to move beyond the limitations of traditional scholarly publication. Rather than limiting scholarly communication to text-based static documents, the Web makes it possible for scholars to expose and share the full evidence of their research including data, images, video, and other genre of materials. These aggregations of evidence, or compound documents, can then be integrated into a linked data cloud, the basis of Scholarship 2.0-an open environment in which scholars collaborate and build new knowledge on the existing scholarship. We present Open Archives Initiative-Object Reuse and Exchange (OAI-ORE), a set of standards to identify and describe aggregations of Web Resources, thereby making the Scholarship 2.0 vision possible.

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Digital Data Preservation for Scholarly Publications in Astronomy

Cited by 9 publications

References 7 publications

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

Astrolabe: Curating, Linking, and Computing Astronomy’s Dark Data

A Web‐based resource model for scholarship 2.0: object reuse & exchange

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