Category Archives: Career Opportunities

Director of Princeton Research Data Service – Princeton University – NJ

Princeton University seeks a visionary and innovative leader to create and direct the new Princeton Research Data Service (PRDS). The Director will provide overall leadership for the establishment of a strong collaborative initiative with the campus research community, guiding Princeton researchers toward best practices in data collection, data formatting, data maintenance, data access, and data management. The Director will facilitate access to, manage, steward and store digital research data. The Director will be responsible for spearheading the consultation and training services provided by professional research data specialists. The Director will be a visible leader, both on campus, nationally, and internationally, and able to continually assess the evolving needs of the campus research community with respect to data management across disciplines, based on trends in the field of practice as well as the requirements of federal funding agencies and publishers.

Reporting directly to the University Librarian, the Director will also work closely with the Dean for Research Office (DFR) and Office of Information Technology (OIT) to develop appropriate policies, data repository and storage infrastructure for the University. A Policy Advisory Committee consisting of senior personnel from OIT, the Library, DFR, and faculty from each division, will provide guidance and make appropriate recommendations on matters related to infrastructure, security, privacy, open access, preservation of codes, sensitive data, inter-institutional collaborations, etc.

Princeton University is a vibrant community of scholarship and learning that stands in the nation’s service and the service of humanity. As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching.

Essential Qualifications

  • Working knowledge of current trends and technical, legal and information policy issues in research data management.
  • Demonstrated understanding of the data needs of the academic community.
  • Four or more years of increasingly responsible management and supervisory experience in an academic or research institution.
  • Successful experience building and maintaining effective academic partnerships and collaborations.
  • Evidence of significant change management primarily in the definition and introduction of new services in a research environment.
  • Experience in successfully managing technology staff, teams and projects.
  • Evidence of outstanding communication, interpersonal, analytical, and problem-solving skills.
  • Demonstrated ability to function effectively under conditions of organizational complexity and ambiguity.
  • A strong commitment to a diverse and inclusive workforce and work environment.
  • Educated to Masters or a higher level.

Applications will be accepted only from the Jobs at Princeton website: https://careers.princeton.edu/ and must include a resume, cover letter, and a list of three references with full contact information.

Direct Link to Posting: https://main-princeton.icims.com/jobs/9583/director-of-princeton-research-data-service/job

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

Open Consultancy – Development of interactive tools to support the use of data collected by Major Groups and other Stakeholders to measure progress towards the Sustainable Development Goals (SDGs)

Background

The availability and access to high-quality, timely, and reliable data, disaggregated by relevant characteristics and supplemented with necessary contextual information for its interpretation and use, is fundamental to the successful implementation and monitoring of the 2030 Agenda. National Statistical Systems, however, face many challenges not only in producing statistics to fill data gaps in national, regional and global SDG indicator frameworks, but also in integrating and making the vast amounts of existing SDG-related data and information accessible to decision makers in a meaningful way.

Different actors are often able to contribute timely and disaggregated data on specific issues, geographies or groups, which can supplement and provide additional context to understand the data on official statistical indicators at the national and global levels (such as data on informal settlements or needs in specific communities). Therefore, several important initiatives are being undertaken by National Statistical Offices in coordination with other members of national statistical systems, and in partnership with international and regional organizations and stakeholders from civil society, academia, and the private sector, to integrate new data sources into the production and dissemination of official statistics for sustainable development.

The UN DESA Division for Sustainable Development Goals’ (DSDG) ongoing EU grant entitled “SD2015: delivering on the promise of the SDGs”  seeks to  strengthen and support Major Groups and other Stakeholders’ (MGoS) engagement, including by strengthening their capacity to monitor and contribute to the 2030 Agenda.

Major Groups and other Stakeholders play an important role in reporting on the implementation of the Sustainable Development Goals. MGoS are often able to contribute timely and disaggregated data on specific issues, geographies or groups, which can supplement and provide additional context to understand the data on official statistical indicators at the national and global levels.

Citizen-generated data, as well as data produced by such constituencies as the private sector and local authorities, faces complex challenges in being integrated and used to support monitoring and decision- making to accelerate implementation of the 2030 Agenda. In particular, it is often difficult to find and link these supplementary data sources, due to discrepancies in the metadata structures and vocabularies used to describe and organize their content, as well as the lack of adherence to common technical and statistical standards. These challenges counter disaggregation, and lead to lower visibility and use of existing data sources that could be leveraged by governments to help fill in monitoring gaps for the SDGs.

Currently, there is no common framework to structure, aggregate, and give visibility to innovative data sources which can be leveraged by policy makers, analysts, and the general public to help implement and monitor progress towards the SDGs.

Objectives

Building on the UN Statistics Division’s existing work in providing guidance towards the use of common data standards to monitor the SDGs, the project aims to provide a common framework and guidelines to improve the visibility, interoperability and usability of supplementary sources of data on sustainable development to complement the work of national statistical offices, consequently raising overall awareness on progress towards the SDGs. Use of semantic web tools will be employed to address the needs for a lightweight data-interchange format across the web

Work Assignment

The Consultant will perform the following duties:

  • Review existing prototypes of SDG data ontology and other related vocabularies (e.g., UN- BIS Thesaurus)
  • Draft a document with guidelines for the implementation of linked-data on statistical data provided through a web API, and for digital text exposed through web documents
  • Draft a document with general guidelines for the consumption of the SDG linked
  • Develop an application to pilot the collection and integration of multiple alternative data sources in one

Duration of contract

The proposed duration of the contract is for 3 months starting in November 2018.

Duty Station or Location of Assignment

The consultant is not required to work in a UN office, but must be available for regular phone and web conference meetings with DSDG, UNSD and project partners during office hours. Travel or commute time to and from the United Nations Headquarters, as well as related expenses, are not part of the consultancy.

Travel

The Consultant is not required to travel for the performance of the assignment.

Expected outputs*

The consultant will develop the following deliverables:

  • The following set of on-line guidelines (to be delivered in the form of GitHub wiki pages, Jupyter notebook(s) or similar on-line documents):
    • Guidelines for the practical implementation of semantic web standards (JSON_LD, microdata or any other linked data artifact) to achieve the greatest exposure of SDG statistical data, using unique URIs defined in various publicly available ontologies and
    • General guidelines for the consumption of the SDG linked (to be delivered in a word document)
  • An application to pilot the collection and integration of multiple alternative data sources with official SDG statistics in one This application will use the linked data infrastructure created to connect nontraditional data sources with official statistical data.

Delivery dates of output

  • First progress report submitted by 15 December 2018
  • Second progress report submitted by 15 January 2018
  • All outputs submitted by 15 February 2019.

Performance indicators

  • Timely delivery of all components specified;
  • Quality of the documentation and tutorials developed;
  • Effectiveness of solution provided on an architectural level;
  • Timely preparation of all activities and regular progress updates;

Qualifications

  • Fluency in English
  • An advanced degree in the field of data or information science or related fields
  • A minimum of five years of working experience on information science including experience in the use of linked data and semantic web
  • Demonstrated experience in the implementation of linked data projects using common linked data standards, such as RDFa, JSON_LD, Mircodata or other linked data technologies
  • Familiarity with the N. Sustainable Development Goals and monitoring framework
  • Knowledge of Agile methodology is desirable

Interested Applicants

Please send your CV, Cover Letter and financial proposal (daily fee) by 19 October 2018 to:

Ms. Nan Jiang, Division for Sustainable Development Goals, UN Department of Economic and Social Affairs  jiang2n@un.org; +19173674426