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  unstructured: 'Sīle, L., Guns, R., Ivanović, D., Pölönen, J., & Engels, T. (2019).
    Creating and maintaining a national bibliographic database for research output:
    Manual of good practices. figshare. https://doi.org/10.6084/M9.FIGSHARE.9989204.V1'
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  unstructured: Levchenko, M. (2024, November 25). How we built a database of preprints.
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    https://doi.org/10.5281/ZENODO.10958522
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summary: There is much to celebrate when it comes to recent developments in scholarly
  communication and research assessment. The scholarly communication landscape shows
  many promising initiatives, including a growing use of preprint services, open access
  repositories, and open peer review platforms, as well as an increasing interest
  in more equitable scholarly publishing models such as diamond open access and Subscribe
  to Open.
title: Criteria for Bibliographic Databases in a Well-Functioning Scholarly Communication
  and Research Assessment Ecosystem
url: https://upstream.force11.org/criteria-for-bibliographic-databases/
version: v1
---

There is much to celebrate when it comes to recent developments in
scholarly communication and research assessment. The scholarly
communication landscape shows many promising initiatives, including a
growing use of preprint services, open access repositories, and open
peer review platforms, as well as an increasing interest in more
equitable scholarly publishing models such as diamond open access and
Subscribe to Open. Likewise, the research assessment landscape is
undergoing a transition toward more responsible assessment approaches. A
growing number of organizations are evaluating researchers and research
units on a broader range of outputs and activities rather than being
focused primarily on articles in a limited number of selective journals.
Evaluation is increasingly reliant on a healthy mix of expert judgment
and data-driven analytics rather than being almost exclusively
metrics-driven.

Innovations in scholarly communication and research assessment need to
go hand in hand. Successful innovation in scholarly communication is
possible only if research assessment incentivizes the uptake of better
alternatives that ultimately improve research quality and practice. One
of many elements required to support such a shift in evaluation
practices is that evaluators have access to high-quality data on all
relevant research outputs. Bibliographic databases, which aim to provide
structured metadata on research output of researchers, institutions,
countries or disciplines, play a crucial role here. Unfortunately,
however, recent developments around the indexing of *eLife* in the Web
of Science and Scopus databases show that too often these databases
hinder innovation rather than support it.

## Indexing of *eLife* in Web of Science and Scopus

*eLife*, a prominent journal in the life sciences, has been a champion
of an innovative way of publishing and peer review that puts the onus on
what an article says and what others say about it, avoiding labels of
\"published\" or \"peer-reviewed\" as synonyms for \"vetted\" or
\"high-quality.\" However, rather than being supportive of such
innovation, [[Web of Science and Scopus are hindering
it]{.underline}](https://elifesciences.org/inside-elife/ae620829/changes-to-elife-s-indexing-status-in-web-of-science-and-scopus)
by discontinuing the indexing of articles peer reviewed by *eLife* in
their core databases.

<figure class="kg-card kg-bookmark-card">
<a
href="https://elifesciences.org/inside-elife/ae620829/changes-to-elife-s-indexing-status-in-web-of-science-and-scopus"
class="kg-bookmark-container"></a>
<div class="kg-bookmark-content">
<div class="kg-bookmark-title">
Changes to eLife's indexing status in Web of Science and Scopus
</div>
<div class="kg-bookmark-description">
To best serve the needs of researchers, eLife will provide a partial
feed of research to be indexed in the Web of Science Core Collection.
eLife will also move from the Scopus Journals Collection to the Scopus
Preprints Collection.
</div>
<div class="kg-bookmark-metadata">
<img
src="https://elifesciences.org/assets/favicons/apple-touch-icon-180x180.7dd4e110.png"
class="kg-bookmark-icon" /><span class="kg-bookmark-author">eLife
Sciences Publications, Ltd</span>
</div>
</div>
<div class="kg-bookmark-thumbnail">
<img
src="https://elifesciences.org/assets/images/social/icon-600x600@1.52e87ee6.png" />
</div>
</figure>

Web of Science is going to index *eLife* articles in its Emerging
Sources Citation Index, but it will index only a subset of all *eLife*
articles. Moreover, the Emerging Sources Citation Index is often seen as
less prestigious than the Science Citation Index Expanded in which
*eLife* was previously indexed and is therefore often not included in
research analytics. Likewise Scopus will index *eLife* articles in its
preprints database, a database that isn\'t considered in the research
analytics provided by Scopus. The decisions by Web of Science and Scopus
make it challenging for research evaluators relying on Web of Science or
Scopus data to consider *eLife* articles in their evaluations. We see
these decisions as a huge missed opportunity for Web of Science and
Scopus to show the role they can play in supporting innovation in
scholarly communication and research assessment. Instead, these
databases choose to protect and sustain a traditional model of scholarly
communication and research assessment that is rapidly losing its
relevance as a result of ongoing global transitions in publishing and
assessment practices.

## Bibliographic Databases and the Need for Experimentation

Researchers might expect that bibliographic databases are simply
faithfully cataloging the scholarly corpus as it is published, but in
actuality, many databases play an active role in choosing what to index
and what to avoid. Some databases, notably Web of Science and Scopus,
have built their brands on being highly selective, using bespoke (and
often opaque) selection processes to determine what research \"counts\"
and gets to be included in a database. For a journal, being included
means discoverability in a given database. It can also mean the
provision of metrics (e.g., Journal Impact Factor), which remain markers
of prestige in some communities, despite the concerns and criticisms
that are gradually reducing this influence. Other parts of the scholarly
communication ecosystem have latched onto the signaling value that
databases provide, using the presence of a journal in a database as a
cue to the legitimacy of research published in it. For these reasons,
many journals are highly motivated to be indexed in major databases. But
whether these databases, as they currently function, are providing a net
positive value to the research community remains questionable. 

As individuals working in various ways to improve the research
ecosystem, we are concerned that bibliographic databases such as Web of
Science and Scopus are perpetuating a system that stymies innovation in
scholarly communication and research assessment. Among other solutions,
we advocate for experimentation that allows for the development of an
evidence-based understanding of the pros and cons of new approaches to
scholarly communication. *eLife*\'s detailed expert evaluations and rich
editorial commentary are an example of this type of experimentation.
However, it is hard to perform meaningful experimentation if
bibliographic databases dissuade researchers and other stakeholders from
participating in experiments, because their outputs are no longer
visible and recognized in existing assessments relying on these
databases.

## Criteria for Innovation-Friendly Bibliographic Databases

We urge the global research community to throw its weight behind
bibliographic databases that support, rather than hinder, innovation in
scholarly communication and research assessment. In the box below, we
present four criteria for innovation-friendly bibliographic databases.
These criteria complement principles for bibliographic databases
developed in other contexts, such as principles for openness that are
currently being discussed in the context of the [[Barcelona Declaration
on Open Research
Information]{.underline}](https://doi.org/10.5281/ZENODO.10958522){rel="noreferrer"}.

### Criteria for Innovation-Friendly Bibliographic Databases

Mainstream scholarly communication practices suffer from major problems,
including slow dissemination of research outcomes, lack of openness and
transparency, an overburdened peer review system, and a research
integrity crisis. Innovation and experimentation are essential to
improve scholarly communication practices. Bibliographic databases
should support and facilitate this, not hinder it, whether directly or
indirectly. Innovation-friendly bibliographic databases meet the
following criteria:

1.  **Recognize the broad variety of use cases for bibliographic
    databases and the need to offer flexibility to address different use
    cases in appropriate ways.** Popular databases like Web of Science
    and Scopus have a narrow perspective on which journals deserve to be
    indexed. Although this might be appropriate for some use cases, it
    is deeply problematic for many others. Research isn\'t
    one-size-fits-all, and bibliographic databases shouldn\'t be either.
2.  **Accommodate diverse approaches to scholarly communication.**
    Indexing only articles in peer-reviewed journals provides an
    incomplete and biased picture of the scholarly record. Scholarly
    communication is happening on a variety of platforms, including
    preprint servers, peer review platforms, data repositories, and
    more. Bibliographic databases need to accommodate these important
    platforms.
3.  **Acknowledge the importance of open peer review reports and other
    markers of trust.** Open peer review reports and other trust markers
    play an increasingly important role in helping consumers of
    scholarly outputs assess the quality and trustworthiness of these
    outputs. Bibliographic databases need to index these reports and
    trust markers.
4.  **Ensure involvement of the research community in the governance of
    bibliographic databases.** Operating a bibliographic database that
    serves the diverse needs of the research community is a significant
    challenge. To address this challenge, the research community must be
    meaningfully involved in key decisions in the design and operation
    of a bibliographic database. Community governance builds trust.

Web of Science and Scopus perform relatively poorly on our criteria for
innovation-friendly bibliographic databases. Although the perfect
database doesn\'t exist, there are important examples of databases that
are more supportive of innovation in scholarly communication and
research assessment. For instance, [[national bibliographic
databases]{.underline}](https://doi.org/10.6084/m9.figshare.9989204.v1),
often based on current research information systems (CRIS), offer broad
coverage of journals and other publication channels, and are governed by
research community stakeholders, more in line with our criteria 1 and 4.
Unlike Web of Science and Scopus, Dimensions and OpenAlex are global
databases that aim to have a comprehensive rather than selective scope
(and that therefore offer full indexing of *eLife* articles), in the
spirit of our criteria 1 and 2. Likewise, in the biomedical domain,
Europe PMC has made a significant effort to [[index preprints and open
peer review
reports]{.underline}](https://doi.org/10.59350/6be58-c7z28){rel="noreferrer"},
in line with our criteria 2 and 3.

We call on users of bibliographic databases to evaluate such databases
against the criteria we outline here, deeply considering whether a given
database is helpful to the research enterprise before continuing to use
it. We call on research evaluators to employ bibliographic databases
that support rather than hinder innovation and experimentation in
scholarly communication and the associated reforms in research
assessment, as promoted by initiatives like
[[CoARA]{.underline}](https://coara.eu/) and
[[DORA]{.underline}](https://sfdora.org/). And we call on bibliographic
databases to engage with the community to make changes that bring them
closer to the criteria we have outlined here. The future success of a
bibliographic database will depend on its ability to work with the
community to support innovation in scholarly communication.

## Additional Recommended Reading

- Statement by DORA:
  [[https://sfdora.org/2024/11/25/clarivates-actions-regarding-elife-doras-response/]{.underline}](https://sfdora.org/2024/11/25/clarivates-actions-regarding-elife-doras-response/)
- Statement by Bodo Stern (HHMI):
  [[https://www.coalition-s.org/blog/how-the-web-of-science-takes-a-step-back/]{.underline}](https://www.coalition-s.org/blog/how-the-web-of-science-takes-a-step-back/)
- News coverage by *Science*: 
  - [[https://doi.org/10.1126/science.zjs3ep]{.underline}](https://doi.org/10.1126/science.zjs3ep)
  - [[https://doi.org/10.1126/science.zycyo78]{.underline}](https://doi.org/10.1126/science.zycyo78)
- News coverage by *Nature*:
  - [[https://doi.org/10.1038/d41586-024-04199-z]{.underline}](https://doi.org/10.1038/d41586-024-04199-z)
- Updates from *eLife*:
  - [[https://elifesciences.org/inside-elife/16afe6ec/update-on-elife-s-indexing-status-at-web-of-science]{.underline}](https://elifesciences.org/inside-elife/16afe6ec/update-on-elife-s-indexing-status-at-web-of-science)
  - [[https://elifesciences.org/inside-elife/c11c6101/the-elife-model-an-update-on-progress-following-changes-in-web-of-science-indexing-status]{.underline}](https://elifesciences.org/inside-elife/c11c6101/the-elife-model-an-update-on-progress-following-changes-in-web-of-science-indexing-status)
  - [[https://elifesciences.org/inside-elife/ae620829/changes-to-elife-s-indexing-status-in-web-of-science-and-scopus]{.underline}](https://elifesciences.org/inside-elife/ae620829/changes-to-elife-s-indexing-status-in-web-of-science-and-scopus)

## Note

The authors of this piece lead and contribute to various reform
initiatives in scholarly communication and research assessment,
including the [[Coalition for Advancing Research Assessment
(CoARA)]{.underline}](https://coara.eu/), the [[Declaration on Research
Assessment (DORA)]{.underline}](https://sfdora.org/), the [[Higher
Education Leadership Initiative for Open Scholarship (HELIOS
Open)]{.underline}](https://www.heliosopen.org/), [[cOAlition
S]{.underline}](https://www.coalition-s.org/), the [[Barcelona
Declaration on Open Research
Information]{.underline}](https://barcelona-declaration.org/), the
[[Helsinki Initiative on Multilingualism in Scholarly
Communication]{.underline}](https://www.helsinki-initiative.org/),
[INORMS research evaluation
group](https://inorms.net/research-evaluation-group/){rel="noreferrer"},
and [[ASAPbio]{.underline}](https://asapbio.org/). The views expressed
in this piece are meant to reflect our individual views and not
necessarily those of the initiatives to which we contribute.
Correspondence concerning the piece is welcomed in the comments here or
may be directed to [Katie
Corker](mailto:%20katie.corker@asapbio.org){rel="noreferrer"}.

## References

1.  Sīle, L., Guns, R., Ivanović, D., Pölönen, J., & Engels, T. (2019).
    *Creating and maintaining a national bibliographic database for
    research output: Manual of good practices*. figshare.
    <https://doi.org/10.6084/M9.FIGSHARE.9989204.V1>
2.  Levchenko, M. (2024, November 25). How we built a database of
    preprints. *Europe PMC News Blog*.
    <https://doi.org/10.59350/6be58-c7z28>
3.  Barcelona Declaration on Open Research Information, Kramer, B.,
    Neylon, C., & Waltman, L. (2024). *Barcelona Declaration on Open
    Research Information*. <https://doi.org/10.5281/ZENODO.10958522>