2015
DOI: 10.1093/reseval/rvv014
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Understanding the scientific software ecosystem and its impact: Current and future measures

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Cited by 46 publications
(38 citation statements)
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“…The determination of accuracy, transparency, and consistency of software solutions requires detailed testing that is beyond the scope of a single study such as the present one [33]. However, the unexplained differences between the backscatter results processed by the tools that are widely used by scientists is a concern shared by end-users of backscatter data, agencies funding data acquisition and processing; and software solution providers [34,35]. Hook and Kelley [33] identified a lack of quality control and means of comparing software output to expected and correct results as a critical challenge to assess a software package.…”
Section: Importance Of Accurate Transparent and Consistent Softwarementioning
confidence: 97%
“…The determination of accuracy, transparency, and consistency of software solutions requires detailed testing that is beyond the scope of a single study such as the present one [33]. However, the unexplained differences between the backscatter results processed by the tools that are widely used by scientists is a concern shared by end-users of backscatter data, agencies funding data acquisition and processing; and software solution providers [34,35]. Hook and Kelley [33] identified a lack of quality control and means of comparing software output to expected and correct results as a critical challenge to assess a software package.…”
Section: Importance Of Accurate Transparent and Consistent Softwarementioning
confidence: 97%
“…These include datasets, simulations, software, visualizations, and other non-traditional representations of knowledge and information (Van de Sompel et al, 2004). The expanding definition of ''publication'' poses new issues for the scholarly reward system, which is heavily biased toward traditional communication types (articles, archival conference papers, books); promotion and tenure decisions rarely consider data or software contributions (Howison et al, 2015). One notable development in support of broadened reward criteria has been the de facto standardization of infrastructural elements such as persistent naming for data (e.g.…”
Section: The Rise Of Data As Scholarly Outputmentioning
confidence: 99%
“…ΠœΠΎΡ‚ΠΈΠ²Π°Ρ†ΠΈΠΈ спСциалистов ΠΈΠ· суб-сфСр ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ обСспСчСния (явная рСпутация для Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ обСспСчСния) ΠΌΠΎΠΆΠ½ΠΎ отнСсти ΠΊ Ρ‡Π΅Ρ‚Π²Π΅Ρ€Ρ‚ΠΎΠΉ Π³Ρ€ΡƒΠΏΠΏΠ΅. ΠŸΡΡ‚Ρ‹ΠΌ ΠΌΠΎΡ‚ΠΈΠ²ΠΎΠΌ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π³ΠΈΠ±Ρ€ΠΈΠ΄Ρ‹, связанныС с Π΄Π²ΠΎΠΉΠ½Ρ‹ΠΌ Π»ΠΈΡ†Π΅Π½Π·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈ Ρ€Π°Π±ΠΎΡ‚ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ обСспСчСния Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… ΠΎΠ³Ρ€ΠΎΠΌΠ½Ρ‹Ρ… ΠΊΠΎΠ»Π»Π°Π±ΠΎΡ€Π°Ρ†ΠΈΠΉ (ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ΅ обСспСчСниС ΠΊΠ°ΠΊ явноС сотрудничСство) [6].…”
unclassified
“…КаТдая ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° производится ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½ΠΎ, Π½ΠΎ слуТит сСрвисом для Π΄Ρ€ΡƒΠ³ΠΎΠΉ, Ρ‚Π°ΠΊΠΆΠ΅ Π½Π°Ρ‡ΠΈΠ½Π°Π΅Ρ‚, измСняСт ΠΈ ΠΈΠ½ΠΎΠ³Π΄Π° Π·Π°ΠΊΠ°Π½Ρ‡ΠΈΠ²Π°Π΅Ρ‚ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ списки. По этой ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π΅ ΠΌΠΎΠΆΠ½ΠΎ Π³ΠΎΠ²ΠΎΡ€ΠΈΡ‚ΡŒ ΠΎΠ± экосистСмС Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ обСспСчСния [13].…”
unclassified
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