RSCVD statistic reports up to April 03, 2025: global and per country.

Each ZIP file contains a .pdf report and one .csv file containing the same data. All reports show the reporting period.

This dataset is licensed in CC BY, please give credits as follows: "RSCVD statistics elaborated by Zaid Cheikh Ibrahim, at Dario Nobili Library, CNR, Italy".

How to read the statistics?

1. Request distribution by status

Request distribution by status is a statistics that distributes all borrowing and lending requests by their status. Following the initial two distributions, there are two additional sub-distributions: delivery method for received and fulfilled requests, reason of unfillment for not received and not fulfilled requests.

  • CSV Columns:
  • Section -> Type of request (borrowing or lending)
  • Key -> Status of the request
  • Count -> Count of the requests
  • Material Types -> Sub-division by material type

2. Fill Rate

The fill rate is calculated as a percentage of received (for borrowing) and fulfilled (for lending) requests over the total number of requests.

  • CSV Columns:
  • Metric -> What value is going to be described
  • Value (%) -> Actual value in percentage

3. Countries

Country distribution displays insights about the requests that are requested from and supplied to all the other countries.

  • CSV Columns:
  • Direction -> Requesting or providing
  • Country -> Country
  • Country Code -> Country code
  • Count -> Count of requests

4. Working time

Working time is a statistics that divides the requests by three working times: Within a day, Within a week, Longer than a week.

  • CSV Columns:
  • Role -> Borrower or lender
  • Working Time -> Distribution (within a day, within a week, longer than a week)
  • Document Count -> Count of the requests

5. Average working time

Average working time gives information about the average working time of completed requests in days yearly and monthly. It is calculated as the average over all the requests's: fulfill date - request date.

  • CSV Columns:
  • Year -> Year of the request
  • Month -> Monthly date
  • Role -> Borrower or lender
  • Days -> Average working time in days

Data e Risorse

Informazioni addizionali

Autore Zaid Cheikh Ibrahim @Dario Nobili Library, CNR, Italy
Manutentore Silvana Mangiaracina
Ultimo aggiornamento aprile 4, 2025, 14:11 (UTC)
Creato aprile 4, 2025, 12:35 (UTC)
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