Analyzing criteria for selecting data intended for long-term preservation at the scientific library

The spiraling information flows and information preservation demand indepth analysis of criteria to separate valuable data from those with no value, to determine preservation time, and to identify the entries. The purpose of the study is to explore into the selection criteria and to specify those necessary and sufficient to be used by scientific libraries to evaluate and differentiate incoming information. Based on the analysis, the author specifies the criteria for scientific data acquisition and evaluation in the context of time and format diversity; the criteria were grouped based on utilization: for resource selection, data evaluation and inclusion into the database to be stored. The procedures for each criteria and related librarian competences are reviewed. The author specifies the criteria most relevant to scientific literature selection (scientific/historical value, legal assessment) and the secondary ones (completeness, duplication, etc.). The related librarian competences are identified. The author also examines challenges that hinder application of individual criteria and proposes the solutions.The study findings can be useful for librarians, archivists, and information specialists to acquire and analyze the data for further digital preservation.The study is completed within the Library’s for Natural Sciences of the Russian Academy of Sciences R&D project “Improvement of methods of long-term preservation of scientific information as the basis of knowledge in the natural sciences”.

Authors

Institutions

Publication Details

Journal
Scientific and Technical Libraries
Published
2025-08-03
DOI
https://doi.org/10.33186/1027-3689-2025-7-102-121
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing criteria for selecting data intended for long-term preservation at the scientific library

E. V. Beskaravainaya
Scientific and Technical Libraries
Research Data Management Practices
article

Analyzing criteria for selecting data intended for long-term preservation at the scientific library

E. V. Beskaravainaya
article en

Abstract

The spiraling information flows and information preservation demand indepth analysis of criteria to separate valuable data from those with no value, to determine preservation time, and to identify the entries. The purpose of the study is to explore into the selection criteria and to specify those necessary and sufficient to be used by scientific libraries to evaluate and differentiate incoming information. Based on the analysis, the author specifies the criteria for scientific data acquisition and evaluation in the context of time and format diversity; the criteria were grouped based on utilization: for resource selection, data evaluation and inclusion into the database to be stored. The procedures for each criteria and related librarian competences are reviewed. The author specifies the criteria most relevant to scientific literature selection (scientific/historical value, legal assessment) and the secondary ones (completeness, duplication, etc.). The related librarian competences are identified. The author also examines challenges that hinder application of individual criteria and proposes the solutions.The study findings can be useful for librarians, archivists, and information specialists to acquire and analyze the data for further digital preservation.The study is completed within the Library’s for Natural Sciences of the Russian Academy of Sciences R&D project “Improvement of methods of long-term preservation of scientific information as the basis of knowledge in the natural sciences”.

Scientific and Technical Libraries(7)
Russian Academy of Sciences (RU), Russian Academy of Natural Sciences (RU)
Openalex Percentile: Top 71%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analyzing criteria for selecting data intended for long-term preservation at the scientific library — E. V. Beskaravainaya · Scientific and Technical Libraries (2025) | TGRS Research Map | TGRS