Towards Research Infrastructures that Curate Scientific Information: A Use Case in Life Sciences

Stocker, Markus; Prinz, Manuel; Rostami, Fatemeh; Kempf, Tibor

doi:10.1007/978-3-030-06016-9_6

“…Librarians and publishers tag new articles with keywords and subjects [113]. Virtual research environments enable the execution of data analysis on interoperable infrastructure and store the data and results in KGs [101].…”

Section: Manual Approachesmentioning

confidence: 99%

“…-Authoring tools such as https://www.overleaf.com/ during writing. -Virtual research environments [101] to store evaluation results and links to datasets and source code during experimenting and data analysis.…”

Section: Manual Approachesmentioning

confidence: 99%

Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies

Brack

¹

,

Hoppe

²

,

Stocker

³

et al. 2021

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Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.

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“…Librarians and publishers tag new articles with keywords and subjects [110]. Virtual research environments enable the execution of data analysis on interoperable infrastructure and store the data and results in KGs [99].…”

Section: Manual Approachesmentioning

confidence: 99%

Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

Brack¹,

Hoppe²,

Stocker³

et al. 2021

Preprint

Self Cite

1

0

View full text Add to dashboard Cite

Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.

show abstract

“…Librarians and publishers tag new articles with keywords and subjects [68]. Virtual research environments enable the execution of data analysis on interoperable infrastructure and store the data and results in KGs [62].…”

Section: Construction Of Knowledge Graphsmentioning

confidence: 99%

“…Further, the system should also provide APIs to enable population by third-party applications, e.g. (i) submission portals such as easychair.org during submission of an article; (ii) authoring tools such as overleaf.com during writing; (iii) virtual research environments [62] to store evaluation results and links to datasets and source code during experimenting and data analysis.…”

Section: Manual Approachesmentioning

confidence: 99%

Requirements Analysis for an Open Research Knowledge Graph

Brack,

Hoppe,

Stocker

et al. 2020

Preprint

Self Cite

0

View full text Add to dashboard Cite

Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get an overview of the state of the art in a certain field, or reproducibility is hampered by fixedlength, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KGs) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective by presenting a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications and outline possible solutions.

show abstract

Towards Research Infrastructures that Curate Scientific Information: A Use Case in Life Sciences

Cited by 8 publications

References 30 publications

Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies

Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies

Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

Requirements Analysis for an Open Research Knowledge Graph

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