University of Castilla-La Mancha, 02071 Campus of Albacete, Spain.
Molecular Neuroprotection Group, Hospital Nacional de Parapléjicos, Spain.
Comput Biol Med. 2018 May 1;96:32-40. doi: 10.1016/j.compbiomed.2018.02.021. Epub 2018 Mar 2.
Transparency in science is increasingly a hot topic. Scientists are required to show not only results but also evidence of how they have achieved these results. In experimental studies of spinal cord injury, there are a number of standardized tests, such as the Basso-Beattie-Bresnahan locomotor rating scale for rats and Basso Mouse Scale for mice, which researchers use to study the pathophysiology of spinal cord injury and to evaluate the effects of experimental therapies. Although the standardized data from the Basso-Beattie-Bresnahan locomotor rating scale and the Basso Mouse Scale are particularly suited for storage and sharing in databases, systems of data acquisition and repositories are still lacking. To the best of our knowledge, both tests are usually conducted manually, with the data being recorded on a paper form, which may be documented with video recordings, before the data is transferred to a spreadsheet for analysis. The data thus obtained is used to compute global scores, which is the information that usually appears in publications, with a wealth of information being omitted. This information may be relevant to understand locomotion deficits or recovery, or even important aspects of the treatment effects. Therefore, this paper presents a mobile application to record and share Basso Mouse Scale tests, meeting the following criteria: i) user-friendly; ii) few hardware requirements (only a smartphone or tablet with a camera running under Android Operating System); and iii) based on open source software such as SQLite, XML, Java, Android Studio and Android SDK. The BAMOS app can be downloaded and installed from the Google Market repository and the app code is available at the GitHub repository. The BAMOS app demonstrates that mobile technology constitutes an opportunity to develop tools for aiding spinal cord injury scientists in recording and sharing experimental data.
科学透明度日益成为热门话题。科学家不仅要展示结果，还要展示他们如何得出这些结果的证据。在脊髓损伤的实验研究中，有许多标准化的测试，如大鼠的 Basso-Beattie-Bresnahan 运动评分量表和小鼠的 Basso Mouse 量表，研究人员用这些测试来研究脊髓损伤的病理生理学，并评估实验治疗的效果。尽管 Basso-Beattie-Bresnahan 运动评分量表和 Basso Mouse 量表的标准化数据特别适合存储和在数据库中共享，但数据采集和存储系统仍然缺乏。据我们所知，这两项测试通常都是手动进行的，数据记录在纸质表格上，可能会附有视频记录，然后将数据转移到电子表格中进行分析。由此获得的数据用于计算全局分数，这是通常出现在出版物中的信息，其中省略了大量信息。这些信息可能与理解运动缺陷或恢复有关，甚至与治疗效果的重要方面有关。因此，本文提出了一种用于记录和共享 Basso Mouse 量表测试的移动应用程序，该应用程序满足以下标准：i）用户友好；ii）硬件要求低（仅需要运行 Android 操作系统的智能手机或平板电脑和摄像头）；iii）基于 SQLite、XML、Java、Android Studio 和 Android SDK 等开源软件。BAMOS 应用程序可以从 Google Market 存储库下载和安装，应用程序代码可在 GitHub 存储库中获得。BAMOS 应用程序表明，移动技术为帮助脊髓损伤科学家记录和共享实验数据提供了开发工具的机会。
