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1 | Title | Author/Publisher | Link | Keywords | Data Life Cycle Stages | Intended Audience | Format | Access | Science Area | Content description | Usage Notes | Case Studies | Example/ sample documents | Resource Creation Process | Data Types | Date Resource Last Modified | Reviewer(s) | Record created | Record updated/checked | ||||||||
2 | Data Management Guide for Public Participation in Scientific Research | DataONE | https://www.dataone.org/sites/all/documents/DataONE-PPSR-DataManagementGuide.pdf | best practices, data lifecycle, data repository | plan, collect, assure, describe, preserve, discover, integrate, analyze | project personnel | downloadable | open | general | Best practices and considerations for data managmement along the life cycle of a citizen science project. Examples and links to other resources for each step. | Narrative examples, useful tables and links to other resourcs in and out of DataONE, including links to free data analysis tools | Multiple | None | Content generated by DataONE PPSR working group, peer reviewed internally. | Unspecified, multiple | February 2013 | HB, PAD, AW, CM | 4/25/19 | 10/13/2021 | ||||||||
3 | USGS Guide to Data Management | USGS | https://www2.usgs.gov/datamanagement | data management plan, metadata, analysis, acquisition, sharing, data dictionary, quality assurance, quality control | plan, collect, assure, describe, preserve, discover, analyze | agency staff and fundees | website | limited access | earth science, forestry and forest sciences, fresh water studies, geography, oceanography | Data management guidance with reference to USGS policies. Deep background materials including training modules, numerous examples. | Metadata best practices, questionnaire useful content, "value of QA" section has good numbers/case studies. Contains examples of data dictionaries. | None | Multiple | Created & maintained by Science Analytics and Synthesis (SAS) Science Data Management Branch; specific contributors listed. | Unspecified, multiple | December 2016 | HB, PAD, AW, CM | 4/25/19 | 10/13/2021 | ||||||||
4 | Voluntary Estuary Monitoring Manual Chapter 5: Quality Assurance Project Planning | EPA | https://www.epa.gov/sites/production/files/2015-09/documents/2009_03_13_estuaries_monitor_chap5.pdf | estuary monitoring, data reliability, QAPP, quality assurance, quality control, best practices, statistics, regulatory | assure, describe | project personnel | downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | Chapter 5 is focused on data quality -- whys and hows of QA/QC, QAPPs | Includes good basic primers re: stats, quality concepts, internal & external QA considerations, examples of quality control measures | None | None | Created by agency staff | Collect physical samples (water), Report instrument observations (take a thermometer reading, measure salinity in the field or lab) | March 2006 | PAD, HB, AW, CM | 4/25/19 | 10/13/2021 | ||||||||
5 | Survey report: data management in Citizen Science projects | European Commission Joint Research Centre / Sven Schade, Chrysi Tsinaraki | http://publications.jrc.ec.europa.eu/repository/bitstream/JRC101077/lbna27920enn.pdf | open data, metadata, data useability, data management | plan, collect, assure, describe, preserve, discover, integrate, analyze | project personnel | downloadable | open | general | This report summarizes findings from a survey of citizen science projects focused in EU countries, but also elsewhere. 121 projects are represented. Questions are targeted toward data quality and management, relevant results begin on page 21 with data quality control mechanisms and progress through metadata and interoperability | Page 21 lists data quality control methods employed by projects that could be useful to consider. Page 44 summarizes conclusions and makes recommendations. Amongst other findings, the 121 responses clearly underlined the diversity of projects in terms of topicality, funding mechanisms and geographic coverage, but also provided valuable insights related to the access and re-use conditions of project results. | None | None | Tech report based on survey following a workshop | NA | 2016 | RDS, HB, AW, CM | 4/25/19 | 10/13/2021 | ||||||||
6 | Federal Citizen Science and Crowdsourcing Toolkit | US government | https://www.citizenscience.gov/toolkit/# | data management, federal agency, community, sustain, improve, scoping | plan, collect, assure, describe, preserve, discover, integrate, analyze | US federal employees | website | open | general | Short guide with tips and tricks related to data quality considerations. Draws heavily on USGS and DataOne data lifecycles, but is catchier. | Some good information with high level suggestions and some good tips. | Multiple | Multiple | Compiled with 125 agency staff across agencies with 4 external reviewers | Report Human Observations, Collect digital observation, Report Sensor observations | 2015 | TAG, HB, AW | 4/25/19 | 10/13/2021 | ||||||||
7 | EPA Guidance on Environmental Data Verification and Data Validation | EPA | https://www.epa.gov/sites/production/files/2015-06/documents/g8-final.pdf | quality assurance, federal agency, data verification, data validation, compliance, policy, regulatory | plan, assure | project staff, coordinators | downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | Specifies agency-wide program of quality assurance for environmental data. Provides practical advice to individuals implementing data verification and data validation. | 96 page guide for data validation by practitioners in general; not citizen science specific. Extensive examples of best practices and specific problem. "Examples" are primarily guidelines for data review. This document may be out of date: "This document is valid for a period of up to five years from the official date of publication" although no newer version could be found. | None | Multiple | Created and maintained (updated every 5 years) by EPA Quality Staff | Collect Physical samples, Report Sensor observations, Report Human Observations | 2002 | HB, AW, CM | 8/15/19 | 10/13/2021 | ||||||||
8 | The Citizen Science Manual: A Guide for Starting or Participating in Data Collection and Environmental Monitoring Projects | Harvard Law School | https://citizenscienceguide.com/homepage | environmental justice, quality standards, pollutant, compliance, community-based, pollution, litigation, policy, legal, regulatory | plan, collect, assure, describe, preserve, discover, integrate, analyze | project personnel | website | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | This manual aims to empower individuals in their roles as citizen scientists and to promote the practice of community-based citizen science as a vehicle for environmental justice. It is our hope that this manual will increase your awareness of how to identify and contribute to existing projects or to initiate and effectively prove your own project. To that end, this manual outlines practical suggestsions for how to design and carry out a citizen science project. It also contains an overview of relevant laws and regulations, as well as technical suggestions regarding data collection, analysis, and compliance with relevant scientific and quality standards. | Well-designed interactive website that walks the layperson with a particular pollution issue through the process of 1. idenitfying focus and design of approach 2. identifying goals (e.g. trigger agency action, increase public awareness) 3. gathering current information on the issue 4. legal considerations for initiating a project 5. design of sample collection, analysis, and interpretation methods including assessing Info on data quality and QUAPP guidelines. The intent is to provide practical guidance for a person without a scientific or legal background to be able to generate data that meets their goals including using citizen science data in litigation. Provides linked resources to court decisions in Supplement 2 that provide examples of relevant cases with citizen science used in litigation. | None | Multiple | Researched by students of the Emmett Environmental Law and Policy Clinic at Harvard Law School under direction of Clinical Professor Wendy Jacobs | Collect physical samples (air, water, soil) | 2019 | HB, AW | 6/11/19 | 10/13/2021 | ||||||||
9 | Guide to Citizen Science: developing, implementing and evaluating citizen science to study biodiversity and the environment in the UK | John Tweddle, Lucy Robinson, Helen Roy, Michael Pocock - Biological Records Centre & Natural History Museum Angela Marmont Centre for UK Biodiversity | http://www.nhm.ac.uk/content/dam/nhmwww/take-part/Citizenscience/citizen-science-guide.pdf | biodiversity, environmental science, contributory, collaborative, co-created | plan, collect, assure, describe, preserve, discover, integrate, analyze | project personnel | downloadable | open | animal sciences biology entomology foresty and forest sciences microbiology plant sciences earth sciences agricultural and resource economics oceanography and atmospheric sciecnes and meteorology | A guide to designing and implementing a citizen science project acrros the full project lifecycle: choosing an approach, establishing a project team, defining aims, securing funding, identifying audience, survey design, data requirements, technological requirements, supporting materials, iteration, promoting the project, receiving data and providing feedback, data analysis and interpretation, reporting results, sharing and acting on data, and project evaluation. | The document is broken up into project-phase specific sections, with bulleted considerations/guiding questions and tips/hints for each. There are examples from specific projects throughout. The end of the document provides a two-page list of resources regarding citizen science online platforms, citizen science project examples, and links to more information on data analysis/visualization/sharing. | Multiple | None | Based on detailed review of 234 projects and 30 case studies for "Understanding Citizen Science & Environmental Monitoring" UK-EOF funded project. | Multiple | 2012 | HB, EJ | 8/15/19 | 10/13/21 | ||||||||
10 | Broadening Participation in Biological Monitoring: Handbook for Managers and Scientists | USDA/USFS | https://www.fs.fed.us/pnw/pubs/pnw_gtr680.pdf | project management, data lifecycle, inventory, monitoring, biodiversity, multiparty monitoring, monitoring plan, forestry, ecosystem health, indicators | plan, collect, assure, describe, preserve, discover, integrate, analyze | project personnel | downloadable | open | biology, forest science | 130-page handbook for designing a forest biomonitoring program using public participation in inventory and monitoring. "It is designed as a how-to manual with discussions of relevant topics, checklists of important considerations to address, and resources for further information." Worksheets for developing, implementing, and evaluating a monitoring plan were posted on a companion website which is now unavailable. Case studies of collaboration and partnerships included as Appendix 2. | Good introduction to participatory science in a federal government setting, with some information on policy, legal, and other requirements. "Most stages of data lifecycle are covered only briefly; planning is given detailed treatment. Nice checklists at the end of each section and annotated bibliography. Companion website (http://www.ifcae.org/projects/ncssf3/) is no longer available. | Multiple | None | 3 authors; technical report (no documentation of review) | Unspecified | 2006 | TAG, PAD, AW, CM | 4/25/19 | 10/13/21 | ||||||||
11 | EPA Volunteer Monitor’s Guide to Quality Assurance Project Plans | EPA | https://www.epa.gov/sites/production/files/2015-06/documents/vol_qapp.pdf | QAPP, water quality | plan, collect, assure | project personnel | downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | 67-page document for volunteer monitoring program staff to develop QAPPs. It does not suggest specific field, laboratory, or analytical techniques or procedures, and is not a "how to" manual (for monitoring). Covers basic terminology, QA/QC concepts, elements of a QAPP, and steps in developing a QAPP. Very brief example of "data management" component on page 36. | Very basic introduction to water quality QAPPs. Example of QAPP worksheets in Appendix D. Note more recent handbook produced by EPA in 2019 listed elsewhere in this compendium. | None | Multiple | Multiple authors, multiple reviewers | Multiple | 1996 | JDV, AW, PAD | 4/25/19, 4/27/20 | 11/18/21 | ||||||||
12 | MACZM Volunteer Coastal Monitoring General Quality Assurance Project Plan | Massachusetts Water Watch and Salem Sound Coastwatch | https://www.mass.gov/doc/massachusetts-volunteer-coastal-monitoring-general-quality-assurance-project-plan-qapp/download | QAPP, water quality, aquatic invasive species, wetland monitoring, shellfish | plan, collect, assure, describe, preserve, discover, integrate, analyze | project personnel | downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | QAPP for water quality monitoring, wetland biological assessments and marine introduced species monitoring in Massachusetts | Developed specifically for projects participating in the Office of Coastal Zone Managmenet's Coastal Monitoring Grants program, parameters, instruments and sampling methods and considerations will likely be relevant to any water quality/wetland monitoring program and this doc could serve as a template for other QAPPs. Covers: Water depth, Secchi disk measurements for water clarity / transparency, depth of the sample site, light intensity, Chlorophyll-a concentrations for estimating algal populations, phosphorus and nitrogen forms for nutrient levels, salinity to determine stratification, turbidity, solids, and conductivity to evaluate the presence of dissolved or suspended materials in the water column , dissolved oxygen concentration and percent saturation for oxygen availability to aquatic life, temperature, Alkalinity and pH to determine if the waterbody is affected by acid deposition, presence of nonindigenous plants/animals to track the existence, spread, and/or success of removal efforts for invasive species, bacteria and viruses to evaluate health risks associated with recreation or shellfish consumption, dinoflagellates and their toxic products to evaluate health risks associated with recreation or shellfish consumption (e.g., during Harmful Algal Blooms), detection of optical brighteners/fluorescent whitening agents (FWAs), caffeine, and pharmaceutical and personal care product metabolites to indicate the presence of sewage, biological monitoring to determine the nature of plant and animal communities and their response to any changes in water quality or habitat condition. | None | Multiple | 2 authors under contract with/reviewed by Massachusetts Office of Coastal Zone Management | Collect physical objects/samples (water samples, biological samples), Collect digital objects (photographs), Report instrument observations (temperature, secchi disk, pH, nitrogen.... Report human observations (stream bank conditions, species observations) | 2006 | SO, HB | 6/11/19 | 11/18/21 | ||||||||
13 | NEIWPCC Guide for Development and Approval of Quality Assurance Project Plans: (QA Project Plans) | New England Interstate Water Pollution Control Commission | http://1o44jeda9yq37r1n61vqlgly.wpengine.netdna-cdn.com/wp-content/uploads/2018/03/NEI.QAPP_.Guide_.-version-2_FINAL-2-22-16.pdf | project planning, modeling, secondary data, data management plan | plan | agency staff, project personnel | downloadable | open | general | A Quality Management Plan "describing the planning, development, and approval of QAPPs, under the NEIWPCC Quality Management System." Sections include what is a QAPP, when is one needed, and special cases of secondary data and model development. | Specific to NEIWPCC uses, but useful links and things to consider re: secondary data, model development, and model application. Contains an example of a completed QAPP starting on p. 33 and a workflow showing the process of EPA QAPP review. | None | One | internal document | Unspecified | 2016 | PAD, HB, AW | 4/25/19, 4/27/20 | |||||||||
14 | MassDEP Volunteer Monitoring Resources (QAPP templates) | Massachusetts Department of Environmental Protection | https://www.mass.gov/guides/water-quality-monitoring-for-volunteers | surface water, water quality, bacteria, SOPs | plan, collect | project personnel | website | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | Short overview on volunteer monitoring with links to sample quality assurance project plans, additional materials and guides. | Links to related guides on water quality monitoring relevant to multiple types of water bodies, including a nice set of example data sheets. | None | Multiple | Compiled by Mass DEP employees | Collect physical objects/samples (water samples, biological samples),Report instrument observations (temperature, secchi disk, pH, nitrogen.... Report human observations (stream bank conditions, species observations) | 2019 | AW, LD, PAD | 4/25/19, 4/27/20 | 11/18/21 | ||||||||
15 | External Data Framework | Indiana Dept. of Environmental Management Office of Water Quality | https://www.in.gov/idem/cleanwater/resources/external-data-framework/ | quality assurance, quality control, surface water, water quality, fish tissue, biota, toxins, government, biological communities, habitats | plan, collect, assure, describe, preserve | project personnel | website | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | guidance for submitting WQ data to IDEM; includes data quality tiers and a description of the rigor required for specific uses by the agency; technical guidance Ch. 5&6 includes sigificant support re: QA/QC. | quite thorough. The tiered data quality - data use table may be useful to us. | None | None | Collect physical objects/samples (water samples, biological samples),Report instrument observations (temperature, secchi disk, pH, nitrogen.... Report human observations (stream bank conditions, species observations) | September 2015 (pdfs) | JDV, PAD | 4/25/19 | 11/18/21 | |||||||||
16 | EPA Quality Assurance Project Plan Guidance for Using Secondary Data | EPA | https://www.epa.gov/sites/production/files/2015-06/documents/EPANESecondaryDataGuidance.pdf | quality assurance, existing data, project plan | plan, assure | project personnel | downloadable | open | general | 10 pages: Guidance is to describe project information that should be included in a quality assurance plan for environmental projects based solely on existing data. The document describes a streamlined approach for planning and documenting projects that do not include sampling, testing or measurement determinations. | Linked to EPA Quality Assurance Project Plan (QAPPs) https://www.epa.gov/sites/production/files/2015-06/documents/g5-final.pdf. This guidance is for projects using existing data versus collecting new data. | None | One | US EPA Created document | N/A | 2009 | CM, HB | 6/11/2019 | |||||||||
17 | EPA Quality Management Tools for Projects | EPA | https://www.epa.gov/quality/epa-quality-management-tools-projects | quality assurance, training, tools, sample design, statistics | plan, assure | project personnel | website | open | animal sciences, entomology, forestry and forest sciences, plant sciences, public health, earth sciences, oceaonography and atmospheric sciences and meteorology, civil and environmental engineering | Website includes links to Data Quality Assessment tools for reviewers, statistical tools for practitioners, checklist for quality concerns. Training courses on Quality Assurance and Control Activities including Intro to Data Quality Assessment, Interpreting Monitoring Data and Interpreting Multivariate Analysis | For those that want to learn how to mange QA/QC for their projects. | None | None | US EPA website | N/A | November 2018 | CM, EJ | 6/11/2019 | |||||||||
18 | Data Management Planning Tool (DMP Tool) | Univ of CA- Curation Center of the CA Digital Library | https://dmptool.org/ | data management plan, compliance | plan | Researchers; people writing grant proposals to US federal agencies that require data management plans (mainly NSF) | interactive tool | open | general | The DMPTool helps researchers create data management plans (DMPs). It provides guidance from specific funders who require DMPs, but the tool can be used by anyone interested in developing generic DMPs to help facilitate their research. The tool also offers resources and services available at participating institutions to help fulfill data management requirements. | Includes example data management plans for US funders, and a wizard-style tool for generating DMPs that are compliant with US funder requirements | Multiple | Multiple | Created by University of California Digital Library team, user-centered process, continually updated | N/A | 2019 | AW, LD | 4/25/19 | |||||||||
19 | Quality Assurance Project Plan Volunteer Water Quality Monitoring | State of Oregon DEQ Quality Assurance Project Plan | http://www.oregon.gov/deq/FilterDocs/volunteerQAplan.pdf | calibration, calibration verification, data management plan, environmental monitoring and assessment, laboratory control sample, matrix spike, water quality | plan | project personnel | downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | A generalized QAPP for use by Oregon community-based organizations in tandem with their own sampling and analysis plan(s) (SAP[s]) Detailed project management overview and guidelines, data generation and aquisition instructions, assessment and oversight requirements, data validation and usability criteria | This is a state document designed to guide and assist volunteer organizations. It is likely to be similar to documents from other states in that the sample schemes are very similar. Contains specific guidelines on processes, equipment maintenance, validation and verification methods, recommended timelines for task completion, and sample data collection sheets. | None | Multiple | Created by Oregon Department of Environmental Quality, Laboratory and Environmental Assessment Division, Hillsboro,Oregon | Collect physical objects/samples (water samples, macroinvertebrates),Report instrument observations (temperature, pH, nitrogen.... Report human observations (E. coli, macroinvertebrates) | 2009 | RDS, AW, PAD | 4/25/19, 4/27/20 | |||||||||
20 | Clean Water Team's Tool Box | Surface Water Ambient Monitoring Program (SWAMP), California Water Boards | https://www.waterboards.ca.gov/water_issues/programs/swamp/cwt_toolbox.html | water quality, spreadsheets, QAPP, templates, data sheet, data validation, data management | plan, collect, assure | project personnel | website, downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | "Starter Kit" for field activities w/ field sheets, Data Validation Kit (stats support, data management files), Advanced Tools (add'l data sheets, data quality management spreadsheets fillable via PDA), and Monitoring Project Planning Kit (checklists, sample plans). | A good soup-to-nuts set of resources for citizen partners to the Water Board's SWAMP. Some assessment of utility beyond CA is needed. Contains templates and worksheets for several process steps, which may be useful starting points for other groups, including error calculation and checklists for QAPP review. | None | Multiple | Created by the California Water Boards, a governmental group; described as a companion to the Clean Water Team Compendium for Watershed Monitoring and Assessment (separate entry) | Collect physical objects/samples (water samples, biological samples), Report instrument observations (temperature, secchi disk, pH, nitrogen.... Report human observations (E. colidensity, species observations) | 2018 | PAD, AW | 8/15/19 | |||||||||
21 | Clean Water Team Guidance Compendium for Watershed Monitoring and Assessment | Surface Water Ambient Monitoring Program (SWAMP), California Water Boards | https://www.waterboards.ca.gov/water_issues/programs/swamp/cwt_guidance.html | marine, stream, habitat assessment, water quality, standard operating procedures, data quality management, alternative language | plan, collect, assure | project personnel | website, downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | Data Quality tips, Fact Sheets (presenting ecological significance and regulatory benchmark), Standard Operating Procedure (SOPs; step by step instructions), and Information Paper (method “menus” and principles). Includes volunteer safety procedures, code of ethics. | Crazy comprehensive compilation of materials. Great example on collecting usable and reliable data. | None | Multiple | Created by the California Water Boards, a governmental group; one of several guidance packages. | Collect physical objects/samples (water samples, biological samples), Collect digital objects (photographs), Report instrument observations (temperature, secchi disk, pH, nitrogen.... Report human observations (stream bank conditions, species observations) | 2018 | PAD, CM | 8/15/19 | 11/18/2021 | ||||||||
22 | Data Policies for Public Participation in Scientific Research: A Primer | DataONE | https://safmc.net/wp-content/uploads/2016/06/Bowseretal2013_DataPolicyPrimer.pdf | policy, legal, privacy, ownership, liability, terms of use, user agreement, compliance, accessibility, data ownership, copyright, attribution, authorship, creative commons, institutional review board | plan, integrate | project personnel | downloadable | open | general | This guide introduces data policies in the context of Public Participation in Scientific Research, or citizen science. Four types of data policies are examined: user agreements, terms of use, legal policies, and privacy policies. Each is briefly explained with examples from existing citizen science projects and best practices for implementation. Practical instructions that describe how to craft data policies for citizen science projects and information on how data policies fit within the data management lifecycle are included. This guide was designed to inform project managers about data policies for their citizen science programs. Citizen science volunteers will also benefit from this guide by learning about the rights and responsibilities that their contributions entail. | Some aspects US-centric, with notes to check in other legal paradigms for similar considerations. | Multiple | Multiple | DataONE working group team "white paper" guide to policies; internally peer reviewed based on consultation with experts and research | N/A | 2013 | AW, EJ, PAD | 4/19/19, 4/27/20 | |||||||||
23 | Quality Assurance Handbook and Guidance Documents for Citizen Science Projects | EPA | https://www.epa.gov/citizen-science/quality-assurance-handbook-and-guidance-documents-citizen-science-projects | engagement, legal, policy, water quality, air quality, biodiversity | plan, collect, assure, describe, preserve | project personnel | downloadable | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | A handbook for creating a quality assurance project plan (QAPP), plus example QAPPs and a blank template that can be used to create your own QAPP. General enough that should apply to most citzen science projects. A very good overview that connects the purpose of data collection (engagement, research, legal/policy) to the level of quality assurance needed. Covers the entire process of managing the project, data collection, data assessment, and data review. | Great place to start. Very readable, clear examples. May not have enough detail for specific kinds of examples. | Multiple | Multiple | At least 20 contributors and is formal government document, so at least internally peer-reviewed. | Collect physical object/samples, water and air quality project likely include other types of data | April 2019 | PAD, TAG | 4/25/19 | |||||||||
24 | Annotated bibliography - Resources for Data Quality in Citizen Science | Wilson Center | https://www.wilsoncenter.org/sites/default/files/media/documents/event/anotated_bibliography_dataquality_citizenscience.pdf | peer-reviewed publications | plan, collect, assure, describe, preserve, discover, integrate, analyze | anyone | downloadable | open | general | Annotated bibliography of peer-reviewed publications related to data quality in citizen science. Not comprehensive. | Should find out if this will be updated on any basis. (anne.bowser@wilsoncenter.org may know...) | Multiple | None | Prepared as a supporting document to a workshop presented during the CitSci 2017 conference ("Elevating the Value of Citizen Science by Understanding and Communicating Data Quality"). | N/A | 2017 | HB, PAD | 10/18/2019, 11/5/19 | |||||||||
25 | AquaQAPP | MassBays National Estuary Partnership | https://www.mass.gov/how-to/use-aquaqapp-to-plan-your-monitoring-project | QAPP, data quality, guidance | plan, collect, assure | project personnel | interactive tool | open | fresh water studies, oceanography, chemistry, plant science, animal science, ecology and evolutionary biology | Stepwise generation of a QAPP, supporting parameters associated with freshwater and marine water quality and benthic community assessments (note: not toxic chemicals). User guide in pdf form includes guidance on lab selection, developing Data Quality Objectives, and sampling site naming conventions. | MassDEP and EPA Region 1 have signed off on the generated QAPPs, making them ready to implement without pre-approval by the agencies, with resulting data more likely to be taken up by those agencies and others. Data generated will also be suitable for upload to EPA's WQX data portal and archiving system. | none | multiple | funded by EPA Exchange Network; MassBays and consultant worked closely with EPA and DEP staff; beta-tested by target users | Collect physical objects/samples (water samples, biological samples), Collect digital objects (photographs), Report instrument observations (temperature, secchi disk, pH, nitrogen...), Report human observations (stream bank conditions, species observations) | September 2021 | PAD, SE | 9/1/21 | 11/18/21 | ||||||||
26 | Data Standards for Continuous Monitoring Data: An Evaluation and Recommendation Report by Data Standards Team of the E-Enterprise Advanced Monitoring Team | EPA | https://e-enterprisefortheenvironment.net/wp-content/uploads/2018/05/Data-Standards-for-Continuous-Monitoring-Data-final-4-16-18.docx | interoperability, data standards, FAIR principals, Application Program Interfaces, Metadata, Data architecture | plan, describe, preserve, integrate | project personnel, data users | word document | open | general | a review of existing data standards that define the representation, format, definition, structure, transmission and management of data, the report presents four use cases and the framework could be used as a reference for projects considering adopting data standards - the benefits and criteria to think about | the document presents several criteria for adopting and adhering to data standards. it is a report, so not interactive or visual, but could be useful background | multiple | none | working group of state and federal agency staff | Carry sensors or pilot vehicles that carry sensors, CS | April 16, 2018 | HKB | 11/18/21 | |||||||||
27 | Biological Assessment Program Review: Assessing Level of Technical Rigor to Support Water Quality Management | EPA | https://www.epa.gov/sites/default/files/2019-03/documents/biological-assessment-program-review-wqm.pdf | biological assessment, data QA/QC, project planning and evaluation | plan, collect, assure | state and tribal agency staff | downloadable pdf | open | biological sciences, chemistry | "...intended to be used as a “how to” manual to guide technical development of a biological assessment program for providing information to meet multiple water quality information needs." | identified as a "living document" to support government agencies in assuring the technical rigor of biological assessments they carry out themselves or rely on from others. | none | multiple | state, tribal, and EPA scientist collaboration, with pilot testing by others. | Sort and classify physical objects | February 2013 | PAD | 11/18/21 | |||||||||
28 | Field Scope | BSCS (Biological Sciences Curriculum Study) | http://www.fieldscope.org/ | data collection, data analysis, map | all | general public | interactive tool | open | biological sciences | "With FieldScope’s interactive platform, organizers of field studies can leverage sophisticated graphing and mapping visualization tools and resources to enhance their existing and future citizen science projects. Participants of all ages and backgrounds can then conveniently upload measurements, observations, and media to a shared project database." | App is available to the general public/no specialized training required | multiple | Sort and classify physical objects, Report observations | SE | 10/7/2021 [copy-paste from Google form only] | 11/18/21 | |||||||||||
29 | Data Management Training (DMT) Clearinghouse | Managed by Earth Sciences Information Partnership (ESIP) | https://dmtclearinghouse.esipfed.org/ | training, online learning, data management, data sharing, data access, data preservation, data analysis, data reuse | all | public | online catalog of training | open | all | "...the DMT Clearinghouse is available for searching, browsing, and submitting information about learning resources on data management topics." | Search for training related to data management from many organiztaions including FAIR data principles, ICSU - World Data System Training Resources, ESIP Data Management for Scientists Short Course, USGS Science Support Framework, DataONE Education Modules, the Digital Preservation Network and many more. Submit your training courses to this clearinghouse. | none | none | Created in collaboration between the U.S. Geological Survey's Community for Data Integration, the Earth Sciences Information Partnership (ESIP) and DataONE. | none | ongoing | CM | 11/18/21 | |||||||||
30 | MassWateR | MassBays National Estuary Partnership | https://massbays-tech.github.io/MassWateR/index.html | data analysis, quality control | assure, integrate, analyze | science leads, data managers for c*sci water quality monitoring | package of R-based tools | open | chemistry, climate, earth science, fresh water studies, geography, oceanography, public health | The MassWateR R package is developed to work with surface water monitoring data collected by watershed associations and citizen science groups in Massachusetts. The package is created in collaboration with the Massachusetts Bays National Estuary Partnership with funding from an EPA Exchange Network Grant. The objective of the package is to automate and facilitate quality control and exploratory analysis of data intended for upload to the EPA Water Quality Exchange (WQX). The functions provide a streamlined and repeatable means of 1) screening data for quality control, 2) interpreting data, and 3) creating graphics for analysis and reports to stakeholders. Miscellaneous formatting tools are also available to facilitate data upload to WQX. The functions are organized around these topics, shown below. | Sort and classify physical objects, Report observations | samples provided | Developed by MassBays and partners to enable data managers to produce QA/QC reports in a format required by MassDEP, as well as products for their own use in education & outreach | beta-tested 9/22 | PAD, HB | 10/20/22 | |||||||||||
31 | Citizen Science Quality Assurance Toolkit | EPA/APHL | https://www.epa.gov/participatory-science/quality-assurance-handbook-and-toolkit-participatory-science-projects | ||||||||||||||||||||||||
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