Report Assessment Ch5 Inventoring Options

Data Management Report

Authors

Affiliation

Rainer M Krug

Rainer M. Krug

Senckenberg

Abstract

A short description what this is about. This is not a tracditional abstract, but rather something else …

Working Title

IPBES_TCA_Ch5_inventoring_options

Code repo

Github - private

Build No: 36

%The BuidNo is automatically increased by one each time the report is rendered. It is used to indicate different renderings when the version stays the same%.

Introduction

All searches are done on Using the OpenAlex database.

In addition, all searches are run in combination with the search term foir nature.

The following steps will be done in documented in this report:

• Do asearch with R1_st and R2_st and determine the number of hits
• Should the copplete **R1** AND **R2** be downloaded, or only a random subsets?

Step 1: Determination of numbers

The search terms are based on the shared google doc. They are cleaned up for the usage in OpenAlex.

Nature

The search terms is nature

#|

nature_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", nature_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

TFC

The search terms is tfc

#|

tfc_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", tfc_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

TFC AND Nature

The search terms is tfc AND nature

#|

tfc_nature_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", tfc_st, ") AND (", nature_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

R1

The search terms is R1 AND Nature

#|

R1_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", R1_st, ") AND (", nature_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

R2

The search terms is R2 AND Nature

#|

R2_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", R2_st, ") AND (", nature_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

R1 AND R2

The search term is R1 AND R2 AND Nature

#|

R1_R2_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", R1_st, ") AND (", R2_st, ") AND (", nature_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

Policy

The search terms is policy AND Nature

#|

policy_count <- openalexR::oa_fetch(
    title_and_abstract.search = compact(paste0("(", policy_st, ") AND (", nature_st, ")")),
    count_only = TRUE,
    verbose = TRUE
)[, "count"]

Results

Number of hits

• nature: 24,157,756 hits
• tfc: 18,331,245 hits
• tfc AND nature: 4,548,060 hits
• R1 AND nature: 17,231,273 hits
• R2 AND nature: 7,330,433 hits
• R1 AND R2 AND nature: 6,777,173 hits
• policy AND nature: 16,817,514 hits