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1. Addendum: The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A.C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A.C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Published
2019

2. Bioinformatics in the Netherlands: The value of a nationwide community

Author

van Gelder, Celia W.G. (author), Hooft, Rob W.W. (author), van Rijswijk, Merlijn N. (author), van den Berg, Linda (author), Kok, Ruben G. (author), Reinders, M.J.T. (author), Mons, Barend (author), Heringa, Jaap (author), van Gelder, Celia W.G. (author), Hooft, Rob W.W. (author), van Rijswijk, Merlijn N. (author), van den Berg, Linda (author), Kok, Ruben G. (author), Reinders, M.J.T. (author), Mons, Barend (author), and Heringa, Jaap (author)

Abstract

This review provides a historical overview of the inception and development of bioinformatics research in the Netherlands. Rooted in theoretical biology by foundational figures such as Paulien Hogeweg (at Utrecht University since the 1970s), the developments leading to organizational structures supporting a relatively large Dutch bioinformatics community will be reviewed. We will show that the most valuable resource that we have built over these years is the close-knit national expert community that is well engaged in basic and translational life science research programmes. The Dutch bioinformatics community is accustomed to facing the ever-changing landscape of data challenges and working towards solutions together. In addition, this community is the stable factor on the road towards sustainability, especially in times where existing funding models are challenged and change rapidly., Pattern Recognition and Bioinformatics

Published
2017
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3. Bioinformatics in the Netherlands: The value of a nationwide community

Author

van Gelder, Celia W.G. (author), Hooft, Rob W.W. (author), van Rijswijk, Merlijn N. (author), van den Berg, Linda (author), Kok, Ruben G. (author), Reinders, M.J.T. (author), Mons, Barend (author), Heringa, Jaap (author), van Gelder, Celia W.G. (author), Hooft, Rob W.W. (author), van Rijswijk, Merlijn N. (author), van den Berg, Linda (author), Kok, Ruben G. (author), Reinders, M.J.T. (author), Mons, Barend (author), and Heringa, Jaap (author)

Abstract

This review provides a historical overview of the inception and development of bioinformatics research in the Netherlands. Rooted in theoretical biology by foundational figures such as Paulien Hogeweg (at Utrecht University since the 1970s), the developments leading to organizational structures supporting a relatively large Dutch bioinformatics community will be reviewed. We will show that the most valuable resource that we have built over these years is the close-knit national expert community that is well engaged in basic and translational life science research programmes. The Dutch bioinformatics community is accustomed to facing the ever-changing landscape of data challenges and working towards solutions together. In addition, this community is the stable factor on the road towards sustainability, especially in times where existing funding models are challenged and change rapidly., Pattern Recognition and Bioinformatics

Published
2017
Full Text
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4. The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, ’t Hoen, Peter A.C, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, ’t Hoen, Peter A.C, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Published
2016
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5. Comment : The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community., Correction in: SCIENTIFIC DATA, Volume: 6, Article Number: 6, DOI: 10.1038/s41597-019-0009-6

Published
2016
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6. Comment : The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community., Correction in: SCIENTIFIC DATA, Volume: 6, Article Number: 6, DOI: 10.1038/s41597-019-0009-6

Published
2016
Full Text
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7. Comment : The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community., Correction in: SCIENTIFIC DATA, Volume: 6, Article Number: 6, DOI: 10.1038/s41597-019-0009-6

Published
2016
Full Text
View/download PDF

8. The FAIR Guiding Principles for scientific data management and stewardship.

Author

Wilkinson, Mark D, Wilkinson, Mark D, Dumontier, Michel, Aalbersberg, I Jsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, da Silva Santos, Luiz Bonino, Bourne, Philip E, Bouwman, Jildau, Brookes, Anthony J, Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T, Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair JG, Groth, Paul, Goble, Carole, Grethe, Jeffrey S, Heringa, Jaap, 't Hoen, Peter AC, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J, Martone, Maryann E, Mons, Albert, Packer, Abel L, Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A, Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D, Wilkinson, Mark D, Dumontier, Michel, Aalbersberg, I Jsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, da Silva Santos, Luiz Bonino, Bourne, Philip E, Bouwman, Jildau, Brookes, Anthony J, Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T, Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair JG, Groth, Paul, Goble, Carole, Grethe, Jeffrey S, Heringa, Jaap, 't Hoen, Peter AC, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J, Martone, Maryann E, Mons, Albert, Packer, Abel L, Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A, Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Published
2016

9. The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-beltran, Alejandra, Gray, Alasdair J.g., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, ’t Hoen, Peter A.c, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-beltran, Alejandra, Gray, Alasdair J.g., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, ’t Hoen, Peter A.c, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Published
2016

10. The FAIR Guiding Principles for scientific data management and stewardship.

Author

Wilkinson, Mark D, Wilkinson, Mark D, Dumontier, Michel, Aalbersberg, I Jsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, da Silva Santos, Luiz Bonino, Bourne, Philip E, Bouwman, Jildau, Brookes, Anthony J, Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T, Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair JG, Groth, Paul, Goble, Carole, Grethe, Jeffrey S, Heringa, Jaap, 't Hoen, Peter AC, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J, Martone, Maryann E, Mons, Albert, Packer, Abel L, Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A, Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D, Wilkinson, Mark D, Dumontier, Michel, Aalbersberg, I Jsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, da Silva Santos, Luiz Bonino, Bourne, Philip E, Bouwman, Jildau, Brookes, Anthony J, Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T, Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair JG, Groth, Paul, Goble, Carole, Grethe, Jeffrey S, Heringa, Jaap, 't Hoen, Peter AC, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J, Martone, Maryann E, Mons, Albert, Packer, Abel L, Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A, Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Published
2016

11. The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark Denis, Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scotr, Evelo, Chris T., Finkers, Richard, González Beltrán, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, Hoen, Peter A.C't, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik M., Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark Denis, Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scotr, Evelo, Chris T., Finkers, Richard, González Beltrán, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, Hoen, Peter A.C't, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik M., Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community

Published
2016

12. Comment : The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community., Correction in: SCIENTIFIC DATA, Volume: 6, Article Number: 6, DOI: 10.1038/s41597-019-0009-6

Published
2016
Full Text
View/download PDF

13. The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark Denis, Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scotr, Evelo, Chris T., Finkers, Richard, González Beltrán, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, Hoen, Peter A.C't, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik M., Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark Denis, Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scotr, Evelo, Chris T., Finkers, Richard, González Beltrán, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, Hoen, Peter A.C't, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik M., Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community

Published
2016

14. The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-beltran, Alejandra, Gray, Alasdair J.g., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, ’t Hoen, Peter A.c, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-beltran, Alejandra, Gray, Alasdair J.g., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, ’t Hoen, Peter A.c, Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-serra, Philippe, Roos, Marco, Van Schaik, Rene, Sansone, Susanna-assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, Van Der Lei, Johan, Van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Published
2016

15. Comment : The FAIR Guiding Principles for scientific data management and stewardship

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, IJsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan-Willem, Santos, Luiz Bonino da Silva, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Merce, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J. G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A. C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna-Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community., Correction in: SCIENTIFIC DATA, Volume: 6, Article Number: 6, DOI: 10.1038/s41597-019-0009-6

Published
2016
Full Text
View/download PDF

17. The FAIR Guiding Principles for scientific data management and stewardship : Comment

Author

Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A.C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, Mons, Barend, Wilkinson, Mark D., Dumontier, Michel, Aalbersberg, Ijsbrand Jan, Appleton, Gabrielle, Axton, Myles, Baak, Arie, Blomberg, Niklas, Boiten, Jan Willem, Da Silva Santos, Luiz Bonino, Bourne, Philip E., Bouwman, Jildau, Brookes, Anthony J., Clark, Tim, Crosas, Mercè, Dillo, Ingrid, Dumon, Olivier, Edmunds, Scott, Evelo, Chris T., Finkers, Richard, Gonzalez-Beltran, Alejandra, Gray, Alasdair J.G., Groth, Paul, Goble, Carole, Grethe, Jeffrey S., Heringa, Jaap, 't Hoen, Peter A.C., Hooft, Rob, Kuhn, Tobias, Kok, Ruben, Kok, Joost, Lusher, Scott J., Martone, Maryann E., Mons, Albert, Packer, Abel L., Persson, Bengt, Rocca-Serra, Philippe, Roos, Marco, van Schaik, Rene, Sansone, Susanna Assunta, Schultes, Erik, Sengstag, Thierry, Slater, Ted, Strawn, George, Swertz, Morris A., Thompson, Mark, van der Lei, Johan, van Mulligen, Erik, Velterop, Jan, Waagmeester, Andra, Wittenburg, Peter, Wolstencroft, Katherine, Zhao, Jun, and Mons, Barend

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Published
2016

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