Skip to content
Volume 66, Issue 2
  • ISSN: 2056-5135


It is human nature to prefer additive problem solving even if removal may be the more efficient solution. This heuristic has wide ranging implications when dealing with science, innovation and complex problem solving. This is compounded when dealing with these issues at an institutional level. Additive solutions to workflows with extra software tools and proprietary digital solutions can impede work without offering any advantages in terms of Findable, Accessible, Interoperable, Reusable (FAIR) data principles or productivity. This viewpoint highlights one possible workflow and the mentality underpinning it with an aim to incorporate FAIR data, improved productivity and longevity of written documents while improving workloads within industrial research and development (R&D).


Article metrics loading...

Loading full text...

Full text loading...



  1. Wilkinson M. D., Dumontier M., Aalbersberg I. J., Appleton G., Axton M., Baak A., Blomberg N., Boiten J.-W., da Silva Santos L. B., Bourne P. E., Bouwman J., Brookes A. J., Clark T., Crosas M., Dillo I., Dumon O., Edmunds S., Evelo C. T., Finkers R., Gonzalez-Beltran A., Gray A. J. G., Groth P., Goble C., Grethe J. S., Heringa J., ’t Hoen P. A. C., Hooft R., Kuhn T., Kok R., Kok J., Lusher S. J., Martone M. E., Mons A., Packer A. L., Persson B., Rocca-Serra P., Roos M., van Schaik R., Sansone S.-A., Schultes E., Sengstag T., Slater T., Strawn G., Swertz M. A., Thompson M., van der Lei J., van Mulligen E., Velterop J., Waagmeester A., Wittenburg P., Wolstencroft K., Zhao J., and Mons B. Sci. Data, 2016, 3, 160018 LINK [Google Scholar]
  2. Hai R., Geisler S., and Quix C. ‘Constance: An Intelligent Data Lake System’, in “SIGMOD ’16: Proceedings of the 2016 International Conference on Management of Data”, Association for Computing Machinery, New York, USA, June, 2016, pp. 20972100 LINK [Google Scholar]
  3. Hasselbring W., Carr L., Hettrick S., Packer H., and Tiropanis T. Inform. Technol., 2020, 62, (1), 39 LINK [Google Scholar]
  4. Massingberd-Mundy F., Poulston S., Bennett S., Yeung H. H.-M., and Johnson T. Sci. Rep., 2020, 10, 17355 LINK [Google Scholar]
  5. Dryden M. D. M., Fobel R., Fobel C., and Wheeler A. R. Anal. Chem., 2017, 89, (8), 4330 LINK [Google Scholar]
  6. O’Boyle N. M., Banck M., James C. A., Morley C., Vandermeersch T., and Hutchison G. R. J. Cheminform., 2011, 3, 33 LINK [Google Scholar]
  7. Schindler D., Zapilko B., Krüger F., ‘Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach’, 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, 31st May–4th June, 2020, “The Semantic Web”, eds. Harth A., Kirrane S., Ngomo A.-C. N., Paulheim H., Rula A., Gentile A. L., Haase P., and Cochez M. Lecture Notes in Computer Science, Vol. 12123, Springer, Cham, Switzerland, 2020, pp. 271286 LINK [Google Scholar]
  8. Adams G. S., Converse B. A., Hales A. H., and Klotz L. E. Nature, 2021, 592, (7853), 258 LINK [Google Scholar]
  9. 9th WSEAS International Conference on Data Networks, Communications, Computers (DNCOCO ’10), University of Algarve, Faro, Portugal, 3rd–5th November, 2010, “Advances in Data Networks, Communications, Computers”, eds. Mastorakis N. E., and Mladenov V. World Scientific and Engineering Academy and Society Press, Athens, Greece, 2010 [Google Scholar]
  10. Lazar J., Jones A., and Shneiderman B. Behav. Inform. Technol., 2006, 25, (3), 239 LINK [Google Scholar]
  11. Meyer A. N., Barton L. E., Murphy G. C., Zimmermann T., and Fritz T. IEEE Tran Softwares. Eng., 2017, 43, (12), 1178 LINK [Google Scholar]
  12. Schulte E., and Davison D. Comput. Sci. Eng., 2011, 13, (3), 66 LINK [Google Scholar]
  13. Pace M. L. Limnol. Oceanogr. Bull., 2020, 29, (1), 20 LINK [Google Scholar]
  14. Maher B., and Anfres M. S. Nature, 2016, 538, (7626), 444 LINK [Google Scholar]
  15. Simons D. J., and Galotti K. M. Bull. Psychon. Soc., 1992, 30, (1), 61 LINK [Google Scholar]
  16. Claessens B. J. C., van Eerde W., Rutte C. G., and Roe R. A. Person. Rev., 2007, 36, (2), 255 LINK [Google Scholar]
  17. Heylighen F., and Vidal C. Long Range Plan., 2008, 41, (6), 585 LINK [Google Scholar]
  18. Cordes D., and Brown M. Computer, 1991, 24, (6), 52 LINK [Google Scholar]
  19. Kitchin J. R. ACS Catal., 2015, 5, (6), 3894 LINK [Google Scholar]
  20. Homscheid D., Kunegis J., Schaarschmidt M., ‘Private-Collective Innovation and Open Source Software: Longitudinal Insights from Linux Kernel Development’, 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E, Delft, The Netherlands, 13th–15th October, 2015, “Open and Big Data Management and Innovation”, eds. Janssen M., Mäntymäki M., Hidders J., Klievink B., Lamersdorf W., van Loenen B., and Zuiderwijk A. Lecture Notes in Computer Science, Vol. 9373, Springer, Cham, Switzerland, 2015, pp. 299313 LINK [Google Scholar]

Data & Media loading...

  • Article Type: Research Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error