 Hello, everyone. Welcome to this session. My name is Ping Fu. I am head of Technology Services, Science and the Data Management Library at Central Washington University. My presentation title is Developing a Research Data Management Service Program in a Regional Conferencing University needs assessment. The purpose of this presentation is to seek feedback from our peer institutions and experts like you to help us better plan our next step so we can move forward. So here is the agenda. First of all, I will briefly introduce our project background. Then describe the method we used for this project. Then I will present our results and findings. Then I will compare our results and findings with some existing studies. Also based on the result and the findings, discussions, I will talk about our recommendations. The project background, the project was kicked off in May 2020 when our dean decided to launch an RDS program here. Then I was assigned to conduct preliminary research. Basically, I investigated some peer institutions' websites and their RDS program. Also, I did some literature research. Then I wrote a white paper. In the white paper, I presented some key findings and observations from our peer institutions. I also listed what resources and tools we have now and what resources and tools we should purchase or subscribe. Also, what kind of ideas and models we should provide and make initial recommendations based on the findings and advice from our dean. The method used for this needs assessment is a survey questionnaire. We designed a Quertrux survey. We had 18 questions. Then we set out our surveys through the provost office. We set one month's time frame, then collected the data from our responses. Then we analyzed our data and then we had some interesting findings. Here is a list of 18 questions we designed for this survey. We have some basic questions such as we are researching the status age and about the grant regarding data management plan, data privacy, also what areas they expect to receive from the libraries. If the library is provided, ideas would you use? Also, some specific questions regarding resources, tools, services, digital storage, needs, and the backup plan, data backup plan. We designed those questions and tried to understand the needs here and the other needs here are the same as or different from those of researchers in a research intensive university. We also want to know is it necessary or worthy for us to develop an ideas program here. If necessary and worthy, how will the library implement the ideas program with limited budget resources? The results. We received 69 valid responses. Among 69 valid responses, 67 were from our faculty members to from our research staff. It accounted for 10.45% of a total 641 faculty members, both having full-time and part-time status in academic year 2021. So we think it's a realistic and acceptable response rate. We found about 26% of our researchers said the research funding were from grants. However, only 70% of our researchers said they had to submit a DMP when they submitted their funding applications. Also, about 57% of our researchers confirmed they received assistance on campus. However, only 10% confirmed they received here from the libraries. Regarding data privacy, about 72% of our researchers said they had no concerns for their data privacy. However, about 28% of our researchers said they didn't have data privacy concerns being anonymous, people's identities and had to get approval from the data vendor if they purchased the data set from a vendor. Other results. So from the survey, we found, unfortunately, only 36% of our researchers would like the university libraries to provide RDS. However, regarding the question if the libraries offered RDS, would you use it? The positive response rate increased to 61%. And then regarding what top RDS areas we should focus on, the top one answer was finding resources to inform and enhance their research projects. For example, help find grant information, help find finding agencies' requirements, help find publishers' requirements and related works for their research projects. The top two answer was finding existing data and the top three answers were assistance in conducting quantitative data analysis, assistance in helping data visualization and finding an appropriate repository for data archives. Regarding data format, top six formats were tabular or spreadsheet, texture data, images, audio, videos and geospatial data. Findings. We had some interesting findings. We found that data deposit service is not a most-needed service here. Also, DMP is not a most-needed service here. Easy. We found CW researchers received more help from other university units rather than from the libraries. However, a majority of researchers said, yes, they would use it if the library is to provide IES. Also, we found helping find the resources is the most-needed service here and help find the data sets is the second most-needed service here. Definitely, we should be aware of data privacy issue. Discussions. So, we compared our results with some existing studies from the literature. For example, we compared with Young's study in 2017 and the Murray et al. study in 2019. Both of them indicated data deposit service was the most-needed service or second most-needed service at the libraries. Also, DMP service was the high-priority service at the libraries. However, both of them are not the case here. Also, Murray et al. pointed out research data instruction was the most-offered service. However, from our survey, it seems it's not the case here, but maybe in the future our researchers will realize offering research data instruction may be very important for them. So, the survey results kept us better understand the needs here. So, we decided to consolidate our current resources, explore other resources and tools, develop a list of most-needed services and promote them to our CWU research community. Also, we are convinced that providing RDS at the libraries is welcomed by our researchers. So, we are in the right direction and should move forward. However, our libraries as a supporting staff should develop the knowledge and skills in this area. So, the libraries should provide more opportunities for our librarians and the staff to receive training and as a professional development opportunities. We also want to point out the limitation of the project because we just examined an individual case. So, the findings here probably would not represent a pattern for or as a regional comprehensive universities. However, the survey questionnaire and our three-year implementation plan could be adopted by as a regional comprehensive universities. So, recommendations. So, based on the survey results and feedback from our faculty members and our administrators inspired by our dean, we proposed a three-year implementation plan. A three-year implementation plan, as I said actually our dean initially proposed this idea. So, we based on this idea and the results from the survey, also feedback from our faculty members, also some findings from my initial white paper. So, we developed this three-year implementation plan. For a year while, we should form a working group, create an RDS model, and provide a centralized information platform for our researchers and students. Based on our current staffing situation, we think we need to create a library-affected position on data services. We already got approval from our provost for this position. Also, we actually already posted our position on the ARE job list and other job listings. So, now we are going to recruit one new library on this area. We also should create a consultation model to provide basic data services such as reference services. Also, we select one or two academic departments as our data service partners and build a partner relationship with them. For a year or two, we should consider nurturing the RDS model and then completed the library in position recruitment. Extended the RDS services to the College of Sciences concentrate on providing help-finding resources and data services for researchers. And then create more research guides. For example, data management plan, research data management and founded requirements, develop some classes and drop in workshops on data services and consider collaborating with other university units to apply for a grant. So, we can enhance our RDS model. For a year or three, we will scale up our RDS model to all researchers to the four colleges on campus and provide a full range of services. So, almost time done with my presentation. At the end of this presentation, I would take this opportunity to thank our CWU faculty members, the staff and the graduate students who participated in the survey and provided their inputs, insights and feedback. We also want to thank Miss Rebecca Luba, who is the Dean of the Libraries for her support for this project and her vision for developing an RDS program at the CWU. I also would like to thank Associate Professor Elizabeth Brown, who is the Library Faculty Chair for her support for this project and the inputs for the white paper and the survey questionnaire. We also would like to thank our scholarly communication library, Mara Valentino, for designing the Quartrux survey, collected the data and analyzed the data. Without their support and participation, we would not have completed the project. Here are some references we used for this project. Finally, welcome to send your comments, questions My e-mail address is pyng.ifu at CWU.edu Your feedback is very important for us. We hope we can better plan our next step and move forward. Thank you all, thanks for your time.