【英語論文の書き方】第59回 共同研究の論文執筆について
2018年11月15日 10時00分
第58回では、]英語の文章中で、言葉やフレーズを強調したいときに使われる太字や斜体(イタリック体)。文章の内容を効果的に伝えるためには、それぞれどのように使い分ければよいでしょうか?を取り上げました。
第59回(今回)のテーマは共同研究の論文執筆についてです。
複数の研究者が1つのチームとなって取り組む共同研究。生産性が高く、効果的なチームプレーをするためには、どのようなことに気をつければよいでしょうか。
以下のテーマに分けてポイントをいくつかご紹介します。
・共同研究の論文は誰が執筆するのがよいか?
・共著者の順番はどう決めるのがよいか?
・論文内容の承認は誰が行うべきか?
最後に、Geoffさんは「知識という呪い」という少し不穏なキーワードを登場させています。この呪いの意味とは?また、呪いを払いのけるためにはどうすればよいでしょうか?
共同研究の開始から論文投稿までスムーズに進めていくために、今回のポイントをぜひご活用いただければと思います。
第59回(今回)のテーマは共同研究の論文執筆についてです。
複数の研究者が1つのチームとなって取り組む共同研究。生産性が高く、効果的なチームプレーをするためには、どのようなことに気をつければよいでしょうか。
以下のテーマに分けてポイントをいくつかご紹介します。
・共同研究の論文は誰が執筆するのがよいか?
・共著者の順番はどう決めるのがよいか?
・論文内容の承認は誰が行うべきか?
最後に、Geoffさんは「知識という呪い」という少し不穏なキーワードを登場させています。この呪いの意味とは?また、呪いを払いのけるためにはどうすればよいでしょうか?
共同研究の開始から論文投稿までスムーズに進めていくために、今回のポイントをぜひご活用いただければと思います。
Working with coauthors By Geoff Hart
Scientific research is rarely a solitary effort. Most research is now done by teams of researchers, whether from the same university or from institutes around the world. Partly, this is because few researchers have all the skills required to perform a complex multidisciplinary study. Large studies also require more work than a single person can perform. But for most researchers, it’s also more enjoyable and productive to work with colleagues than to work alone.
When you work in a team, the team members become co-authors of any papers that result from the collaborative research. This raises several issues:
When you work in a team, the team members become co-authors of any papers that result from the collaborative research. This raises several issues:
Who should write the paper?
The best way to write a paper varies among studies and research groups. Sometimes one author writes the whole paper, particularly for small or simple studies performed primarily by one researcher or for researchers who enjoy writing and are good at it. This may not be possible for large, multidisciplinary, or complex studies. When no one author fully understands every aspect of the research, each author may write the part of the paper that they’re most familiar with. There are many solutions between these extremes. For example, one author may write all of the paper except the statistical analysis section, which will be written by the statistician who designed the study and performed the statistical analysis.
In what order should the names appear?
In what order should the names appear?
At some point, you must decide on the order of the author names. This is challenging, because it requires a balance among several criteria:
At some point, you must decide on the order of the author names. This is challenging, because it requires a balance among several criteria:
- Each institute has guidelines that may outweigh other considerations. If co-authors work for institutes with conflicting guidelines, the guidelines of the institute that initiated the study or that provided most of the funding usually take precedence.
- Funding agencies may have their own requirements that must be followed; for example, the author who received the first grant may need to be the first author.
- Many journals ask authors to identify their contribution to a paper, and choose an order based on their relative contributions.
- The author who initiated the study, who wrote the paper, or who has the greatest seniority (i.e., has the longest research history) is often chosen as the first author.
- When there are many authors, the first three or four may be listed in order of their contributions, but subsequent authors are listed in alphabetical order by family name. This avoids giving offence by being forced to judge their relative contributions.
- Some institutions place the most important author’s name at the end, believing this to be the most prestigious position. Others place the most important name first because this is the name that will forever be associated with the paper. If I am the first author of a multi-author paper, then that paper will be remembered and cited as “Hart et al.”; if I am the last name of six names, few will ever remember that I contributed to the paper.
Who should approve the content?
All authors must be willing to take credit—or accept blame—for published research; any authors who are unwilling should not be listed as co-authors. As a result, journals ask the author responsible for submitting a paper to confirm that all authors have read and approved the submitted version. This is not a simple formality that you can ignore. Authorship has legal and moral consequences, such as the health of patients treated based on the results of medical research and the human and environmental safety of machine, process, and infrastructure designs based on an engineering manuscript.
There are also practical consequences. Because each author has different expertise, no one author will fully understand all aspects of the research (particularly the parts they did not perform). Research technicians sometimes review their supervisor’s papers because they know details the author does not: the author did not perform the analysis or obtain the measurement and cannot know these details. Each author must rigorously review the parts of the manuscript related to their specialty, but must also carefully read the rest of the manuscript to ensure that it does not contradict, misinterpret, or invalidate other parts of the paper. The more people who inspect a manuscript, the greater the likelihood of detecting and fixing errors before publication. This is important, because journal reviewers rarely check papers thoroughly; indeed, they cannot, since they did not participate in the experiment.
This is particularly important for the results of numerical calculations, which peer reviewers cannot check without access to the raw data. A calculation error that enters the research literature may mislead all subsequent researchers who base their research (or real-world applications of the research) on the paper. Even if the error is subsequently detected and a correction is published, researchers who only encounter the original article are unlikely to search the literature to find the correction.
An effective approach is for one author to perform the calculations and statistical analyses, and another to independently repeat the calculations and ensure that both results agree. A senior researcher may review the calculations of a junior researcher (e.g., a PhD supervisor reviewing their graduate student’s work); conversely, a junior researcher may perform the second analysis to learn the approach, and will ask for confirmation if they obtain different results.
There are also practical consequences. Because each author has different expertise, no one author will fully understand all aspects of the research (particularly the parts they did not perform). Research technicians sometimes review their supervisor’s papers because they know details the author does not: the author did not perform the analysis or obtain the measurement and cannot know these details. Each author must rigorously review the parts of the manuscript related to their specialty, but must also carefully read the rest of the manuscript to ensure that it does not contradict, misinterpret, or invalidate other parts of the paper. The more people who inspect a manuscript, the greater the likelihood of detecting and fixing errors before publication. This is important, because journal reviewers rarely check papers thoroughly; indeed, they cannot, since they did not participate in the experiment.
This is particularly important for the results of numerical calculations, which peer reviewers cannot check without access to the raw data. A calculation error that enters the research literature may mislead all subsequent researchers who base their research (or real-world applications of the research) on the paper. Even if the error is subsequently detected and a correction is published, researchers who only encounter the original article are unlikely to search the literature to find the correction.
An effective approach is for one author to perform the calculations and statistical analyses, and another to independently repeat the calculations and ensure that both results agree. A senior researcher may review the calculations of a junior researcher (e.g., a PhD supervisor reviewing their graduate student’s work); conversely, a junior researcher may perform the second analysis to learn the approach, and will ask for confirmation if they obtain different results.
Rewards and challenges
There is a final practical reason why all authors must review a paper before submission to a journal: the “curse of knowledge”. When you are intimately familiar with your research, it’s human nature to forget that others will be less familiar with your work. Another person will either lack this curse or have it to a weaker degree, and will therefore be better able to detect implicit assumptions that must be explicitly stated before readers can understand your research. Remember: if your colleagues don’t understand what you wrote, neither will the journal’s reviewers. You can waste a lot of time responding to review comments that can be summarized as “I’m sorry, but I don’t understand”.
Working in multi-author research groups can be enjoyable and professionally rewarding, but it leads to challenges you won’t face in single-author research.
***
Geoffrey Hart is a Canadian science editor with more than 30 years of experience. His goal in writing these articles is to help you write more efficiently and communicate the importance of your research more successfully. If there’s a topic you want him to cover or a question you want him to answer, please contact World Translation Services to make this request.
Working in multi-author research groups can be enjoyable and professionally rewarding, but it leads to challenges you won’t face in single-author research.
***
Geoffrey Hart is a Canadian science editor with more than 30 years of experience. His goal in writing these articles is to help you write more efficiently and communicate the importance of your research more successfully. If there’s a topic you want him to cover or a question you want him to answer, please contact World Translation Services to make this request.
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第2回 「装置」に対する英語表現
第3回 助動詞のニュアンスを正しく理解する:「~することが出来た」「~することが出来なかった」の表現
第4回 「~を用いて」の表現:by と with の違い
第5回 技術英文で使われる代名詞のitおよび指示代名詞thisとthatの違いとそれらの使用法
第6回 原因・結果を表す動詞の正しい使い方:その1 原因→結果
第7回 原因・結果を表す動詞の使い方:その2 結果→原因
第8回 受動態の多用と誤用に注意
第9回 top-heavyな英文を避ける
第10回 名詞の修飾語を前から修飾する場合の表現法
第11回 受動態による効果的表現
第12回 同格を表す接続詞thatの使い方
第13回 「技術」を表す英語表現
第14回 「特別に」を表す英語表現
第15回 所有を示すアポストロフィー + s ( ’s) の使い方
第16回 「つまり」「言い換えれば」を表す表現
第17回 寸法や重量を表す表現
第18回 前置詞 of の使い方: Part 1
第19回 前置詞 of の使い方: Part 2
第20回 物体や物質を表す英語表現
第21回 句動詞表現より1語動詞での表現へ
第22回 不定詞と動名詞: Part 1
第23回 不定詞と動名詞の使い分け: Part 2
第24回 理由を表す表現
第25回 総称表現 (a, theの使い方を含む)
第26回研究開発」を表す英語表現
第27回 「0~1の数値は単数か複数か?」
第28回 「時制-現在形の動詞の使い方」
第29回 then, however, therefore, for example など接続副詞の使い方
第30回 まちがえやすいusing, based onの使い方-分詞構文
第31回 比率や割合の表現(ratio, rate, proportion, percent, percentage)
第32回 英語論文の書き方 総集編
第33回 Quality Review Issue No. 23 report, show の時制について
第34回 Quality Review Issue No. 24 参考文献で日本語論文をどう記載すべきか
第35回 Quality Review Issue No. 25 略語を書き出すときによくある間違いとは?
第36回 Quality Review Issue No. 26 %と℃の前にスペースを入れるかどうか
第37回 Quality Review Issue No. 27 同じ種類の名詞が続くとき冠詞は付けるべき?!
第38回 Quality Review Issue No. 22 日本人が特に間違えやすい副詞の使い方
第39回 Quality Review Issue No. 21 previous, preceding, earlierなどの表現のちがい
第40回 Quality Review Issue No. 20 using XX, by XXの表現の違い
第41回 Quality Review Issue No. 19 increase, rise, surgeなど動詞の選び方
第42回 Quality Review Issue No. 18 論文での受動態の使い方
第43回 Quality Review Issue No. 17 Compared with とCompared toの違いは?
第44回 Reported about, Approach toの前置詞は必要か?
第45回 Think, propose, suggest, consider, believeの使い分け
第46回 Quality Review Issue No. 14 Problematic prepositions scientific writing: by, through, and with -3つの前置詞について
第47回 Quality Review Issue No. 13 名詞を前から修飾する場合と後ろから修飾する場合
第48回 Quality Review Issue No. 13 単数用法のThey
第49回 Quality Review Issue No. 12 study, investigation, research の微妙なニュアンスのちがい
第50回 SinceとBecause 用法に違いはあるのか?
第51回 Figure 1とFig.1の使い分け
第52回 数式を含む場合は現在形か?過去形か?
第53回 Quality Review Issue No. 8 By 2020とup to 2020の違い
第54回 Quality Review Issue No. 7 high-accuracy data? それとも High accurate data? 複合形容詞でのハイフンの使用
第55回 実験計画について
第56回 参考文献について
第57回 データの分析について
第58回 強調表現について