Learning from OpenScience: Expert Perspective(Springer Nature ResearchData Community)

Perspective

Thobias Sarbunan
Institut Agama Kristen Negeri Ambon
https://orcid.org/0000-0001-8236-370X

Abstract
The article presented a synthesis of
expert opinions about open research
remarked as a substantial influence on
knowledge and innovation of concepts
dissemination contained in published
and unpublished manuscripts. The
practise of open science reach increased
in acceptance in recent years due to the
challenging effort of the researchers
who have written scientific articles.
Furthermore, reputable publishing
houses also encouraged open science
with collaboration considerably towards
the expanded and free dissemination of
scientific information without
jeopardizing the content of scientific
knowledge included in manuscripts. On
the other hand, it establishes an open
discussion environment to all scholars
and readers actively build and
reconstruct the significant
breakthroughs.
Keyword: Author Reputation, Open
Science, Open Science and Publication
House, Raw Data, Recognized

Introduction
This collection of papers represents
the perspectives of experts in the
publishing industry and experiences the
impact of the open science process
facilitated by platforms like Figshare.
The viewpoints of this article provide on
the Springer Nature Research Data

Community discussion platform,
wherein I was a part of:
https://researchdata.springernature.co
m/digests/monthly?utm source=digest
mailer&utm medium=email&utm
campaign=monthly digest. As a result,
the following perspective highlights the
advantages of involving in open science
influenced by them [reputable
publishers]. As a result, to encourage
and drive long-term progress in
research and technology, it is
appropriate to learn from open-science
principles.

Body
According to the scientist who
discussed the matter of open scientific
data sharing, the writers had no
problems with the publication method.
Since the work is still conducting a
review or editing procedure before
publication or has been rejected during
the review process by reviewers, the
raw data may get adjusted to being
discussed publicly. It [the paper]
examined to improve the manuscript so
that future academics and readers can
assess current issues driving the
discourse’s progress (Smith, 2022).
Scientific progress based on raw data
of manuscripts that have been and
published does not undermine the
scientific ethics or intellectual property
rights of any researcher or scientific
writer. Consequently, the raw data
reduced to pieces of data and may not
interrupt the value of the original
document’s that is manifestly fair; Then,
it shared and given digital objects
identification (DOI); then, writing
credits that may use to credit writers
and scientists for any advances they
make.
As a result, Figshare is a publishing
platform for all types of raw data that
credits authors; by the results, of raw

data and its equivalent work can be
cited, reused, reconstructed, or
developed by further researchers as one
of the platforms that can bridge the
spread of raw data or constructed in a
raw data framework. It [data’s] be
labelled a DOI; It is a one-of-a-kind code
that aims to make raw data more
accessible on online platforms and allow
other researchers to explore the data in
depth.
Smith (2022b) highlights the necessity
of disseminating raw data collected
from unpublished and published
articles. As a result, the academic and
scientific purpose for the invention of a
platform like Figshare is to enable the
diffusion of the newest in science and
technology to assist researchers and
writers in having productive discussions
and authorizing writing credits for
scientific works. As a result, well-known
publishing companies like Springer and
BMC, in addition to others, have counted
on open-access platforms like Figshare
to support the whole process of
spreading scientific works for the
benefit of mankind’s’ even till this. In
summary, they [publishing firms] who
are credible publishers recommend
adopting open access as a support room
for the publication process and more in-
depth and undoubtedly beneficial
scientific engagements at all levels of
the science process.

Bibliography
Smith, G. (2022, April 11). Supporting
open science through data
sharing: a trial integration of
Figshare with Nature Portfolio
and Academic journals. Research
Data at Springer Nature; Springer
Nature.
https://researchdata.springernat
ure.com/posts/supporting-open-

science-through-data-sharing-a-
trial-integration-of-figshare-
with-nature-portfolio-and-
academic-journals

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