Roadmap

[Bubblbu]

last updated: 05.08.2021

Initial Research (conceptual questions)

Conduct an initial re-evaluation of the conceptual and technical landscape of scholarly metrics. The focus should be on services and infrastructures used to create and provide metrics. The output of this task should be a concise model of scholarly metrics that can be used to not only track events, but also capture their contexts and settings. For this step, I will also rely on the expertise of Daniela Loewenberg, Martin Fenner, and Stefanie Haustein who are working on data citations.

Issue	Task	Deadline	Status
#3	Literature: What are scholarly acts, events, metrics?	01.09.2020	Completed
#4	Research: Other relevant projects, standards, or specifications	22.09.2020	Completed
#5	Research: Other scholarly data models	22.09.2020	Completed
#6	Development: A model of scholarly events	01.10.2020	Completed

Development (technical implementation)

Implement the model developed in the previous task using tools and schemas provided by Frictionless Data. The output should be a new data package for scholarly metrics. Specific metrics that should be considered are traditional citations, data and software citations, and altmetrics. For this task, guidance may be provided by Frictionless Data and their team working on specifications.

Issue	Task	Deadline	Status
#7	Research: Familiarize with Frictionless Landscape	08.01.2020	Completed
#8	Development: Translate data model into tabular representation	15.10.2020	Completed
#9	Development: Implement data model as Frictionless table schema	15.11.2020	Completed

Testing Phase (scholarly application)

In the last phase, the developed data package is tested in a realistic setting. This could either be research assessment or maybe scholarly work in the area of scientometrics. The output will be a usable scholarly metrics data package. Ideally, this will also emphasise the potential benefits of Metrics in Context for scholarly use.

Tasks:

Issue	Task	Deadline	Status
#10	Research: Identify use case	01.02.2021	Completed
#11	Research: Outline benefits and applications	01.03.2021	Completed

Frictionless Citation Data Package

This is the final prototype implementation of a Frictionless Citation Data Package (FCDP). The data package will take combine real citation data and a citation index profile (CIP) to provide not only fundamental scientometric insights (e.g., citation counts, average citation counts, h-index) but also sanity checks and insights about the context of the data (e.g., citation tracing methods, coverage of content)

Issue	Task	Deadline	Status
#14	Development: Dummy dataset	17.08.2021	In progress
#15	Development: Initial version of FCDP using dummy data	07.09.2021	In progress
#16	Development: Google Scholar dataset	31.09.2021	In progress
#17	Development: FCDP with real data	15.10.2021	In progress
#18	Development: FCDP analytics	31.10.2021	In progress

[lwinfree]

This looks really good to me!

[Bubblbu]

Functional requirements of a Frictionless Citation Data Package (FCDP)

Input

• Citation Index Profile (.json)
• Citation Data
• Table Schema

Outputs

• Metrics and stats
  • Descriptive (type, publication years, disciplines)
  • Citation counts
  • Average citations
  • h-index
• Context
  • Type of indexed content
  • Overall coverage of the provider (disciplinary, geographics, ...)
  • Tracing methods