DataCite Make Data Count Webinar Series
Make Data Count (MDC) is a scholarly change initiative, made up of researchers and open infrastructure experts, building and advocating for evidence-based open data metrics. Throughout MDC’s tenure, various areas key to the development of research data assessment metrics have been identified. Please join a Spring seminar and discussion series centered around priority work areas, adjacent initiatives to learn from, and steps that can be taken immediately to drive diverse research communities towards assessment and reward for open data.
5
2019–2022
1
4 hours 31 minutes
5 results
53:55
Lowenberg, Daniella et al.On May 8th we demoed DataCite and DataONE's new aggregation services. The webinar highlighted the features and services we can build off of our central infrastructure such as aggregated usage and citations.
2019DataCite
50:04
1Cousijn, Helena et al.During the last 2 years a lot of work took place within the Make Data Count project to take the first steps towards data metrics. Now that the MDC project has come to an end and services are transitioning to DataCite, we would like to show you what infrastructure DataCite has available as a result of the project. We will demo how you can contribute usage stats and citations and show the different ways in which we're sharing these numbers with the community. There will also be plenty of time to discuss next steps.
2019DataCite
58:28
Buys, Matt et al.Make Data Count (MDC) is a scholarly change initiative, made up of researchers and open infrastructure experts, building and advocating for evidence-based open data metrics. Throughout MDC’s tenure, various areas key to the development of research data assessment metrics have been identified. Please join a Spring seminar and discussion series centered around priority work areas, adjacent initiatives to learn from, and steps that can be taken immediately to drive diverse research communities towards assessment and reward for open data. The first webinar titled “FORAGE: the hunt for existing data citations” will focus on the issue of finding and aggregating citations, how we can extend open citation initiatives to data, and how we can get known citations into a centralized open place. Speakers include: 00:00 Introduction by Matt Buys (Executive Director of DataCite) 01:24 FORAGE: the hunt for existing data citations – Daniella Lowenberg (California Digital Library), 06:26 FORAGE: the hunt for existing data citations – Stephanie van de Sandt (Vrije Universiteit Amsterdam), 12:59 Carly Robinson (US Department of Energy, OSTI) 18:35 Open citations for enabling transparent metrics – Silvio Peroni (Open Citations), 25:54 An Amazon.com for Data aka "Show US the Data" – Julia Lane (Coleridge Initiative) 34:15 Q&A session
2022DataCite
55:58
Buys, Matt et al.Make Data Count (MDC) is a scholarly change initiative, made up of researchers and open infrastructure experts, building and advocating for evidence-based open data metrics. Throughout MDC’s tenure, various areas key to the development of research data assessment metrics have been identified. Please join a Spring seminar and discussion series centered around priority work areas, adjacent initiatives to learn from, and steps that can be taken immediately to drive diverse research communities towards assessment and reward for open data. The second webinar titled “EXPLORE: the need for an open classification system” will deal with the issue that most datasets do not have subject information. However, meaningful data metrics cannot be developed without disciplinary contexts; the scholarly communications community needs an open classification system for research outputs (articles, journals, datasets etc.) - is this feasible? Speakers include: 00:00 Introduction by Matt Buys (Executive Director of DataCite) 00:57 EXPLORE: the need for an open classification system – Daniella Lowenberg (California Digital Library), 04:39 Exploring Open Classification – Stefanie Haustein (University of Ottawa), 17:21 Ludo Waltman (Leiden University) 22:49 Kristi Holmes (Northwestern Feinberg School of Medicine) 25:43 Jason Priem (OurResearch) 30:19 Classification: The @crossref REST API story – Geoffrey Bilder (Crossref), 38:48 Q&A session
2022DataCite
53:21
Buys, Matt et al.Make Data Count (MDC) is a scholarly change initiative, made up of researchers and open infrastructure experts, building and advocating for evidence-based open data metrics. Throughout MDC’s tenure, various areas key to the development of research data assessment metrics have been identified. Please join a Spring seminar and discussion series centered around priority work areas, adjacent initiatives to learn from, and steps that can be taken immediately to drive diverse research communities towards assessment and reward for open data. The third and last webinar in our series “BEGIN: metadata for meaningful metrics” will look at next steps to develop responsible and fair data metrics that can reflect the use and impact of research datasets and help elevate them to first-class scholarly outputs. We’ll focus on necessary metadata to construct metrics that take into account characteristics and contexts of open data across disciplines. Speakers include: 00:00 Introduction by Matt Buys (Executive Director of DataCite) 01:49 BEGIN: metadata for meaningful data metrics – Stefanie Haustein (University of Ottawa), 06:53 Meaningful Data Metrics for Whom? – Christine Borgman (UCLA), 14:13 Data Metrics and the Reward System of Science – Rodrigo Costas (Leiden University), 22:41 Developing responsible and fair data metrics – Nicolas Robinson-Garcia (Granada University), 29:56 Meaningful Indicators for Research Data – Isabella Peters (ZBW), 38:09 Q&A session
2022DataCite