refs 3

Author: rachel-chase

docs/10-feedback/dissemination.mdx

@@ -4,11 +4,11 @@ sidebar_position: 2
 ---
 # Dissemination and publishing data 
 
-Open access publication of the data should be a goal of the trial. Tricot has already published a number of sizable datasets from on-farm trials (van Etten et al., 2018; Moyo et al., 2020; de Sousa et al., 2020). These datasets could become important for other research that repurposes these datasets. Kool et al. (2020) have provided an incisive critique of on-farm testing in agronomy, especially the limited replicability of many trials as authors fail to report contextual factors (crop management) and sampling of locations and participating farmers. 
+Open access publication of the data should be a goal of the trial. Tricot has already published a number of sizable datasets from on-farm trials [@vanEtten2018;@Moyo2020;@deSousa2021]. These datasets could become important for other research that repurposes these datasets. Kool et al. [-@Kool2020] have provided an incisive critique of on-farm testing in agronomy, especially the limited replicability of many trials as authors fail to report contextual factors (crop management) and sampling of locations and participating farmers. 
 
-Similarly, a study on PVS in RTB crops reveals that on-farm trials are often documented in a very deficient way and that data are hardly published at all (Jose Valle et al., 2021). Data publication could become more attractive if it is easy to do and has rewards (citations of datasets repurposed by others). Publishing all data from trials could prevent the so-called file-drawer problem, which means that only certain datasets (for example, novel analyses, striking results) are published, which then lead to biased statistics in meta-analyses.
+Similarly, a study on PVS in RTB crops reveals that on-farm trials are often documented in a very deficient way and that data are hardly published at all [@Valle2021]. Data publication could become more attractive if it is easy to do and has rewards (citations of datasets repurposed by others). Publishing all data from trials could prevent the so-called file-drawer problem, which means that only certain datasets (for example, novel analyses, striking results) are published, which then lead to biased statistics in meta-analyses.
 
-The tricot approach should address this issue by facilitating and standardizing the way in which on-farm trials are documented and published. Standardization should be done using the insights of the studies cited above. Specifically, meta-data on the trials could be standardized and some elements on the trial context could become recommended elements that are easily available from within the software. For example, it is becoming more and more clear that plot use histories and fertilization in preceding seasons of plots are highly influential on yields (Njoroge et al., 2019; Zingore et al., 2007). For this, an existing metadata schema for phenotypic experiments could be adapted (Papoutsoglou et al., 2020). Also, the data publication process should be automatized, including the anonymization procedure (removing personal identifiable information such as names, addresses and telephone numbers as well as aggregating geographic data to a sufficient level to prevent identification).
+The tricot approach should address this issue by facilitating and standardizing the way in which on-farm trials are documented and published. Standardization should be done using the insights of the studies cited above. Specifically, meta-data on the trials could be standardized and some elements on the trial context could become recommended elements that are easily available from within the software. For example, it is becoming more and more clear that plot use histories and fertilization in preceding seasons of plots are highly influential on yields [@Njoroge2019;@Zingore2007]. For this, an existing metadata schema for phenotypic experiments could be adapted [@Papoutsoglou2020]. Also, the data publication process should be automatized, including the anonymization procedure (removing personal identifiable information such as names, addresses and telephone numbers as well as aggregating geographic data to a sufficient level to prevent identification).
 
 ClimMob allows you to collaborate by sharing your project with other users. When you invite someone, you must assign a role that defines what level of access they will have:
 
@@ -33,3 +33,6 @@ How-to share a project with other users:
 4.	Confirm to share the project. The invited user will now have access according to the role you assigned.
 
 ![](/img/share.JPG)
+
+## References
+

docs/10-feedback/feedback.mdx

@@ -33,13 +33,13 @@ These points should be considered by the field agents:
 
 [**Link to Farmer Feedback Documents**](/resources/resources#feedback)
 
-The farmer feedback sheet – the main trial results
+#### The farmer feedback sheet – the main trial results
 
 This sheet (available in the link above) was designed to present individual and group trial results to farmers in an easily understandable way. It is automatically generated by ClimMob when you request the analysis of your trial results. The sheet contains basic information about which varieties performed best for the farmer and the group. Print this sheet for every farmer in your trial. People that cannot attend the feedback session may still receive this via their neighbors .
 
 ![Farmer infosheet](/img/infosheet.png)
 
-The farmer certificate – an acknowledgement of the farmers’ contribution
+#### The farmer certificate – an acknowledgement of the farmers’ contribution
 
 This certificate (available in the link above) was designed to stress the importance of the farmers' contribution to the tricot trial. It is an acknowledgement of their role in the process. You can add the logo of your organization to the certificate. Print this for every farmer and sign. 
 
@@ -49,7 +49,7 @@ This certificate (available in the link above) was designed to stress the import
 
 *	Budget: Plan resources (team time and money) for this final workshop from the start. Plan your team’s time to visit all communities or regions holding trial result workshops. Plan for your team’s time to debrief after the workshops  and document learnings to integrate them in the planning of next trials.
 *	Group sizes: As with the training and distribution workshop, in most cases farmers should be limited to around 20-25 per event, in a central location accessible to all.
-*	Materials: depends highly on implementation of the sheet & diploma. We recommend using the feedback sheet and diploma available here.
+*	Materials: depends highly on implementation of the sheet & diploma. We recommend using the feedback sheet and certificate available here.
 
 
 

docs/ref.bib

@@ -825,4 +825,58 @@ @article{Talsma2018
   year = {2018},
   month = jul,
   pages = {3–9}
+}
+
+@article{vanEtten2018,
+  doi = {10.7910/DVN/4ICF6W},
+  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/4ICF6W},
+  author = {van Etten,  J. and de Sousa,  K. and Aguilar,  A. and Barrios,  M. and Coto,  A. and Dell'Acqua,  M. and Fadda,  C. and Gebrehawaryat,  Y. and van de Gevel,  J. and Gupta,  A. and Kiros,  A. and Madriz,  B. and Mathur,  P. and Mengistu,  D. and Mercado,  L. and Mohammed,  J. and Paliwal,  A. and Pè,  M. and Quiros,  C. and Rosas,  J. and Sharma,  N. and Singh,  S. and Solanki,  I. and Steinke,  J.},
+  keywords = {Agricultural Sciences,  ABIOTIC STRESS,  ACCEPTABILITY,  AGROBIODIVERSITY,  CLIMATE CHANGE,  COMMON BEAN,  CROP IMPROVEMENT,  FARMER PARTICIPATION,  ON-FARM RESEARCH,  PHASEOLUS VULGARIS,  TRITICUM AESTIVUM,  TRITICUM DURUM,  WHEAT,  SURVEYS},
+  title = {Replication data for: "Crop variety management for climate adaptation supported by citizen science"},
+  publisher = {Harvard Dataverse},
+  year = {2018}
+}
+
+@article{Zingore2007,
+  title = {Soil type,  management history and current resource allocation: Three dimensions regulating variability in crop productivity on African smallholder farms},
+  volume = {101},
+  ISSN = {0378-4290},
+  url = {http://dx.doi.org/10.1016/j.fcr.2006.12.006},
+  DOI = {10.1016/j.fcr.2006.12.006},
+  number = {3},
+  journal = {Field Crops Research},
+  publisher = {Elsevier BV},
+  author = {Zingore,  S. and Murwira,  H.K. and Delve,  R.J. and Giller,  K.E.},
+  year = {2007},
+  month = mar,
+  pages = {296–305}
+}
+
+@article{Njoroge2019,
+  title = {Learning from the soil’s memory: Tailoring of fertilizer application based on past manure applications increases fertilizer use efficiency and crop productivity on Kenyan smallholder farms},
+  volume = {105},
+  ISSN = {1161-0301},
+  url = {http://dx.doi.org/10.1016/j.eja.2019.02.006},
+  DOI = {10.1016/j.eja.2019.02.006},
+  journal = {European Journal of Agronomy},
+  publisher = {Elsevier BV},
+  author = {Njoroge,  Samuel and Schut,  Antonius G.T. and Giller,  Ken E. and Zingore,  Shamie},
+  year = {2019},
+  month = apr,
+  pages = {52–61}
+}
+
+@article{Papoutsoglou2020,
+  title = {Enabling reusability of plant phenomic datasets with MIAPPE 1.1},
+  volume = {227},
+  ISSN = {1469-8137},
+  url = {http://dx.doi.org/10.1111/nph.16544},
+  DOI = {10.1111/nph.16544},
+  number = {1},
+  journal = {New Phytologist},
+  publisher = {Wiley},
+  author = {Papoutsoglou,  Evangelia A. and Faria,  Daniel and Arend,  Daniel and Arnaud,  Elizabeth and Athanasiadis,  Ioannis N. and Chaves,  In\^es and Coppens,  Frederik and Cornut,  Guillaume and Costa,  Bruno V. and Ćwiek‐Kupczyńska,  Hanna and Droesbeke,  Bert and Finkers,  Richard and Gruden,  Kristina and Junker,  Astrid and King,  Graham J. and Krajewski,  Paweł and Lange,  Matthias and Laporte,  Marie‐Angélique and Michotey,  Célia and Oppermann,  Markus and Ostler,  Richard and Poorter,  Hendrik and Ramı́rez‐Gonzalez,  Ricardo and Ramšak,  Živa and Reif,  Jochen C. and Rocca‐Serra,  Philippe and Sansone,  Susanna‐Assunta and Scholz,  Uwe and Tardieu,  Fran\c{c}ois and Uauy,  Cristobal and Usadel,  Bj\"{o}rn and Visser,  Richard G. F. and Weise,  Stephan and Kersey,  Paul J. and Miguel,  Célia M. and Adam‐Blondon,  Anne‐Fran\c{c}oise and Pommier,  Cyril},
+  year = {2020},
+  month = apr,
+  pages = {260–273}
 }