Find contact persons at FOOD here:

• FOOD Secretariat (administrative support)
• IT support
• Project Finance Administrators (finances) 

• FOOD welcome brochure for new employees at FOOD
• New employee at AU - getting started 
• Digital welcome to AU

Find more information here if you are newly arrived international academic staff to Denmark and Aarhus University:

• Information to international staff and guests

It is mandatory for these staff categories to take the e-learning course 'Research Integrity at AU' in BlackBoard:

• Research assistants, AC-TAP, Postdocs, Adjunct, Tenure Track, senior VIP

You will automatically receive an e-mail from the system, when you can start the course:

• Information and access to the e-learning course

• Responsible conduct of research and freedom of research

Read flyer by the Danish Security and Intelligence Service (PET) in cooperation with Ministry of Higher Education and Science:

• Is your research at risk? - Tips on foreign interference and espionage for researchers and other staff  

Personal data is defined as any kind of data which can be used to identify a person. If you handle personal data in the course of your work, it is important that you comply with the law governing this area. Get information about General Data Protection Regulation (GDPR) and what you need to do to make sure you protect personal data:

• Data protection (GDPR)
• Research-oriented GDPR guidelines
• Guideline, Personal data scanning tool - Identify old emails containing personal data

Message from Michelle Williams:

We have in 2020 formed a formal agreement between AU FOOD and AU-MATH, to support short statistical consultancies on design and analysis with their ‘aStatLab’.

Our goal here is to mostly to support advising and troubleshooting consultancies, linked to design and analysis approaches (as described under point #1 below).

I encourage anyone who is developing a new project which includes large amounts of data and data analysis to consider taking direct contact to the ‘aStatLab’, to determine if a statistician should be included in the project as a research collaborator. This way an agreement can be formed on the involvement of a statistician from research design, to analysis of data and co-authored papers. Note that larger data analysis and research collaborations fall outside the ‘consultancy agreement’ and should be funded directly in new projects.

Here is an introduction message from the ‘aStatLab’:

_____________________________________________________________________

Dear All,

It is a pleasure to announce that the Applied Statistics Laboratory (aStatLab) from the Department of Mathematics, AU, established an agreement of statistical support to FOOD.

This means that scientists, postdoctoral fellows, PhD students and Master students from FOOD can book an interview with a statistician from the aStatLab to resolve some statistical issues related to their work.

How it works: 

• A consultation here is a personal interview (1 to 2 hours) possibly complemented by a short follow-up (e.g., written or telephonic).
• The interviews will be in Aarhus at the Department of Mathematics at pre-fixed dates (see the available dates listed below)
  • An appointment for each consultation should be made two work days before the interview date by writing an e-mail to Rodrigo Labouriau (head of the aStatLab, rodrigo.labouriau@math.au.dk )
  • The appointment will be made provided that there is a time slot available in the requested consultation day, otherwise the consultation should be booked in another consultation day
  • Exceptionally, urgent matters might be treated out of the consultation day, depending on the availability of personal from the aStatLab
  • More details are given below.

The statistical support of the aStatLab to FOOD includes also the following additional activities (see the details bellow):

1. Short ad hoc internal projects (simple well-defined questions requiring that a statistician performs some specific analyses, short duration max. one week)
2. Statistical support for PhD and Master at FOOD (follow-up of statistical analyses related to PhD and Master theses)

I am looking forward to meeting all of you – either online during Covid-19 or face-to-face when possible again.

Kind regards,
Rodrigo Labouriau

DETAILS ON THE STATISTICAL SUPPORT AGREEMENT

1 - STATISTICAL CONSULTATIONS
This activity consists of maintaining a system of statistical consultation to assist scientists, postdoctoral fellows, PhD students and Master students solving simple statistical issues that normally appear in their daily research activities.

How it works: 

• An appointment for each consultation should be made two work days before the consultation day by writing an e-mail to Rodrigo Labouriau (head of the aStatLab, rodrigo.labouriau@math.au.dk ) 
• The appointment will be made provided that there is a time slot available in the requested consultation day, otherwise the consultation should be booked in another consultation day. 
• Exceptionally, urgent matters might be treated out of the consultation day, depending on the availability of personal from the aStatLab.

Details: A consultation here is a personal interview (1 to 2 hours) possibly complemented by a short follow-up (e.g., written or telephonic).
In many cases, the client performs the calculations, but often the statistician assists the client to actually do the analysis or perform the key calculations of the analyses.
It should not be expected that a consultation (including a follow-up) involves more than one workday of the statistician; if the activity requires more than one workday, then it should be treated as an ad-hoc mini-project or support to a project.
Only in exceptional cases the consultations will be made over telephone, Skype or e-mail.
Typical topics often observed in previous consultations were: identification of statistical and/or mathematical techniques required for answering specific research questions arrived from experiments, assistance in the way to actually performing concrete statistical analyses, counselling on strategies to plan experiments, second opinion or remedy solutions for rejected manuscripts with statistical issues and interpretation of non-standard or complex statistical models.
A consultation can also be used to initiate an ad-hoc mini project or to clarify some theoretical statistical questions. 



2 - SHORT AD HOC INTERNAL PROJECTS
This activity consists of maintaining a system of statistical support to scientists, postdoctoral fellows, PhD students and Master students to solve statistical issues that appear in their research activities, which involves a workload of the order of magnitude of at most one week workload.
In this activity, a statistician from the aStatLab will perform the statistical work in collaboration with the client(s) from FOOD.

How it works: 

• When the necessity of a short ad hoc project (SP) is detected, then there must be arranged a meeting involving the Rodrigo Labouriau (leader of aStatLab) and the client(s) from FOOD (at least one person at senior level from FOOD should be involved). 
• During this meeting the following points should be cleared:

• Only a limited number of short ad hoc projects can be established.

3) STATISTICAL SUPPORT FOR PhD AND MASTER AT FOOD
This activity comprises in a follow-up of some individual PhD and Master programs at FOOD.
PhD and Master students can benefit from the statistical support covered by this agreement in several ways, namely: planning experiments, counselling regarding the statistical methods to be employed or studied, assistance in performing the statistical analysis etc.
These different activities cannot always be covered in a coordinated way via short consultations or short ad hoc projects; therefore, it is proposed to create some follow-up activities.
This activity should be confined to few cases and should be agreed and coordinated with the supervisor(s) of the PhD or Master student.

• Read more about Workzone (journalizing of documents)
• Read more about Pure (registration of publications og activities)

Link to the Time Management System at AU:

• ProMark

Please contact the FOOD secretariat (Sarah L. Nielsen or Sara L. Hansson) if you have any questions about ProMark.

At FOOD, a holiday planning for staff is made, and you will be contacted when time is approaching.  
Read more about AU's holiday rules.  

Remember to add holiday and time off in your Outlook calendar, so others can see when you are out of office. 

The AU credit card can be used for purchases that are work-related.
Remember:

• Before you make a purchase, please always contact one of the purchasers at FOOD on this page, since they have the knowledge about AU’s purchasing agreements and rules
• Be aware that it should always be clarified first which project that should cover the cost before you make a purchase
• Always save the receipts for your purchases which you will need to upload as documentation when settling your costs in RejsUd
• Read more about the rules for purchases in relation to travels. You are welcome to contact Signe Nørretranders and Rikke Karlsen for help, and they will also be able to guide you through allowance and meals when travelling
• Get more information about rules and the use of your credit card at AU’s website        

Read more about and sign up for FOOD Staff Club on its website:

• FOOD Staff Club

Friday bread
Please contact the secretariat if you want to be a part of the Friday bread arrangement. 

Fruit
There are 3 pieces of fruit per employed staff per week. 
The fruit is placed in the fruit baskets. 

See more information about what Agro Food Park has to offer (look under 'for tenants'):

• Agro Food Park's website

Find more information here about injuries, screen glasses, first aid, workwear, ergonomics (office space) among other things:

• FOOD Local Working Environment Committee (LAMU)

Conflict resolution at FOOD and psychological counselling

Rules regarding parental leave and application forms can be found here: 

• Rules and forms for parental leave  

• Guide from the Danish Ministry of Justice